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• A POCT to Rapid Detect GBS with Highly Sensitivity
• Breast Cancer Detection Using Smart Wearable Devices with Thermal Sensors
• Biodegradable Biodevices: A Design Approach Based on Cellular Automaton
• Machine Learning-Based Smart-Textile for COVID-19 Monitoring
• Real-Time Stand-Up Evaluation Using Low-Cost Hardware
• Sustainable Printed Electrodes for Energy Harvesting from Urine to Power IoT Sensor Nodes in Smart Diapers
• Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation
• Bioinspired Design and Manufacturing Strategies for next Generation Medical Implants: Trends and Challenges
• DKCDF: Dual-Kernel CNN with Dual Feature Fusion for Lung Cancer Detection
• Dynamic Characteristic of the Pleural Cavity Pressure Sensor
• RehabVisual: Adapting and Testing the Visuomotor Skills Stimulation Platform on Patients with Multiple Sclerosis
• Development of an Affordable EMC Immunity Assessment Setup Using Direct Power Injection for Biosignals Instrumentation: Application to ECG Monitoring
• Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients
• Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line
• Overall Additive Manufacturing of Capacitive Sensors Integrated into Textiles: A Preliminary Analysis on Contact Pressure Estimation
• Development of a Machine Learning Based in-Home Physical Activity Monitoring System Using Wrist Actigraphy and Real-Time Location System
• Additive Manufacturing of Nitinol for Smart Personalized Medical Devices: Current Capabilities and Challenges
• Numerical Modelling and Simulation of a Lab-on-a-Chip for Blood Cells’ Optical Analysis
• Experimental Flow Studies in PDMS Intracranial Aneurysms Manufactured by Two Different Techniques
• Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application
• Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
• 3D Nuclei Segmentation by Combining GAN Based Image Synthesis and Existing 3D Manual Annotations
• Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning
• Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study
• Mutually Exclusive Multi-Modal Approach for Parkinson’s Disease Classification
• Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights
• Performance Review of Retraining and Transfer Learning of DeLTA2 for Image Segmentation for Pseudomonas Fluorescens SBW25
• Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses
• Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
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• Influence of Arterial Occlusion at Various Cuff Pressures on Systemic Circulation Measured by rPPG
• Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
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• USTAR2: Fast and Succinct Representation of k-mer Sets Using De Bruijn Graphs
• Compositional Techniques for Asynchronous Boolean Networks
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• Modeling iPSC-Derived Endothelial Cell Transition in Tumor Angiogenesis Using Petri Nets
• Evaluating the Performance of Protein Structure Prediction in Detecting Structural Changes of Pathogenic Nonsynonymous Single Nucleotide Variants
• Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network
• Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis
• Predictive Biomarkers in PD-1/PD-L1 Immunotherapy Response: A Machine Learning Approach Using Gene Sequencing Data
• Assembling Close Strains in Metagenome Assemblies Using Discrete Optimization
• Ki67 Expression Classification from HE Images with Semi-Automated Computer-Generated Annotations
• Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes
• Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
• Particle and Cell Cluster Separation Based on Inertial Effects in Rectangular Serpentine Channels
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• The Interactive Network Visualization of the Interactions Between Topologically Associating Domains in the Genome of Fruit Fly
• Deep Learning in Digital Breast Pathology
• Formal Analysis of Uncertain Continuous Markov Chains in Systems Biology
• SMT: A High-Performance Approach for Counting Kmers
• Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization
• Classification of Fine-ADL Using sEMG Signals Under Different Measurement Conditions
• A Hierarchical Framework for Apnea Detection and Respiration Pace Assessment Using Seismocardiogram Signals
• Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks
• Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation
• Fusion of Machine Learning and Threshold-Based Approaches for Fall Detection in Healthcare Using Inertial Sensors
• Centrality of the Fingerprint Core Location
• Mapping Seismocardiogram Characteristics to Hemorrhage Status and Vascular Pressure: A Novel Approach for Triage Assessment
• Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN
• Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans
• An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment
• Preliminary Results on the Evaluation of Different Feedback Methods for the Operation of a Muscle-Controlled Serious Game
• A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting
• Improved PID Control Based on Temperature Compensation for the Incubation Plate of Chemiluminescent Immunoassay Analyzer
• Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities
• Gait Parameter Estimation from a Single Privacy Preserving Depth Sensor
• Associating Endpoint Accuracy and Similarity of Muscle Synergies
• Integrated Driver Pose Estimation for Autonomous Driving
• Assessing Emotion-Induced Variations of Event-Related Potentials and Heart Rate During Affective Picture Processing
• Contactless Camera-Based Detection of Oxygen Desaturation Events and ODI Estimation During Sleep in SAS Patients
• Cramer-Rao Bound for Dipole Source Localization in Infants Using Realistic Geometry
• Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment
• A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs
• A Word Recognition Paradigm Through EEG Analysis: Imagined Speech Classification
• Estimating Skull Thickness of Neonates Using Magnetic Resonance Imaging
• ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification
• Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device
• Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG
• Really Can't Hold On Anymore? Physiological Indicators Versus Self-Reported Motivation Drop During Jogging
• Spatial-Temporal Visualization Tool for Hospital Support for Infection Spread and Outbreaks
• Predictive Models of Ward Admissions from the Emergency Department
• A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
• Decoding Autism Diagnosis: A Journey Towards Transparency with XAI in ML Models
• Evaluating Synthetic Data Generation Techniques for Medical Dataset
• Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections
• Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning
• GAN-Based Data Augmentation for Improving Biometric Authentication Using CWT Images of Blood Flow Sounds
• Comparision Through Architectures of Semantic Segmentation in Breast Ultrasound Images Across Differents Input Data Dimensions
• Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic
• Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents
• Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments
• An Android App for Training New Doctors in Mechanical Ventilation
• Design and Implementation of a Software System for Surveillance of Antibiotics Concentrations in Wastewater
• Comparison of Different Data Augmentation Techniques for Improving Epileptic Seizure Detection Based on 3D Acceleration, Heart Rate and Temperature Data
• Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation
• Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management
• Leveraging Artificial Intelligence for Improved Hematologic Cancer Care: Early Diagnosis and Complications’ Prediction
• Unpacking the Clinical Burden of Leukemia in GCC: Implications for Patient Care
• Apnea Hypopnea Index Estimation from Low-Granularity Overnight Oxymetry Data
• e-Consent in Biomedical Research Registries: A GDPR-Compliant Approach Explored in the Context of the Australasian Diabetes Data Network
• Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining
• Bed Management System Implementation: Experimental Study
• Using Data Mining Techniques to Understand Patterns of Suicide and Reattempt Rates in Southern Brazil
• Machine Learning-Based Qualitative Analysis of Human Gait Through Video Features
• Unleashing the Potential of Reinforcement Learning for Personalizing Behavioral Transformations with Digital Therapeutics: A Systematic Literature Review
• Hyperparameter Optimization Using Genetic Algorithm for Extracting Social Determinants of Health Text
• Evaluation of "Speech System" and "Skill": An Interaction Paradigm for Speech Therapy
• Monitoring Pain in Patients with Chronic Pain with a Wearable Wristband in Daily Life: A Pilot Study
• The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns
• Application of Formal Concept Analysis to Characterize Driving Behaviors and Socio-Cultural Factors Related to Driving
• Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
• i-SART: An Intelligent Assistant for Safety Analysis in Radiation Therapy
• Melanoma Classification Through Deep Ensemble Learning and Explainable AI
• Perceptions of Humanoid Robots in Caregiving: A Study of Skilled Nursing Home and Long Term Care Administrators
• Enhancing Summarization Performance Through Transformer-Based Prompt Engineering in Automated Medical Reporting
• Setting a PACS on FHIR
• Strategic Oversight Across Real-World Health Data Initiatives in a Complex Health Data Space: A Call for Collective Responsibility
• Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
• Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
• Automatic Scoring of Shulman's Clock Drawing Dementia Test
• Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
• Antibiotic Prescriptions Before, During and after the Corona Pandemic in Schleswig-Holstein with Prescription Data from 2017 till 2023
• Chatting for Change: Insights into and Directions for Using Online Peer Support Groups to Interrupt Prolonged Workplace Sitting
• A Survey on Usability Evaluation in Digital Health and Potential Efficiency Issues
• Technology Support System and Review Process for a Decentralized Clinical Trial: Trials@Home, RADIAL DCT as Case Study
• Prediction of Heart Disease Severity Using Hierarchically-Structured Machine-Learning Models with Feature Space Reduction
• Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review
• Observational Study of a Digital Application to Detect Attachment in Dyads Using Markov Chains
• A Type of EEG-ITNet for Motor Imagery EEG Signal Classification
• Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation
• Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales
• Evaluation of the Role of the Informatician after Changes in the Legislative Landscape of Women’s Reproductive Health
• Evaluating the Viability of Neural Networks for Analysing Electromyography Data in Home Rehabilitation: Estimating Foot Progression Angle
• Architectural Design for Enhancing Remote Patient Monitoring in Heart Failure: A Case Study of the RETENTION Project
• Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors
• Evaluating Movement and Device-Specific DeepConvLSTM Performance in Wearable-Based Human Activity Recognition
• Naïve Bayes as a Probabilistic Tool for Monitoring the Health Status of Chronic Patients
• Exploring the Power of Triple Crown Process Modeling in Healthcare: Sepsis Case
• Segmentation and Classification of Dental Caries in Cone Beam Tomography Images Using Machine Learning and Image Processing
• Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review
• Quantified Health: A Feasibility Study on a Sensor-Based Feedback and Assistance System in Cardiology, Oncology and Orthopaedics
• Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression
• Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction
• Improving Self-Report Diaries: A Respondent-Centric Design Approach
• Safeguarding Ethical AI: Detecting Potentially Sensitive Data Re-Identification and Generation of Misleading or Abusive Content from Quantized Large Language Models
• 2ViTA-B Cognitive: A Virtual Assistant for Cognitive Rehabilitation
• Counting Red Blood Cells in Thin Blood Films: A Comparative Study
• Business Intelligence Enhancements to EDC for Clinical Trial Management
• Covid-19 Impact on Standard Coding Systems Update
• Investigations on Anger Experience with Other Basic Emotions Using Affective Ising Model
• An Empirical Analysis of Undergraduate Information Systems Security Behaviors
• Image and Text Feature Based Multimodal Learning for Multi-Label Classification of Radiology Images in Biomedical Literature
• Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems
• Bridging Gaps in Fracture Rehabilitation: A Mobile Solution Proposal for Comprehensive Recovery
• Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language
• A Concept for Daily Assessments During Nutrition Intake: Integrating Technology in the Nursing Process
• SynthCheck: A Dashboard for Synthetic Data Quality Assessment
• Android App for Symptomatic Monitoring of Cervical Dystonia: Design and Usability Study
• Automated Medical Text Simplification for Enhanced Patient Access
• Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease
• Are End-Users Participating in the Life Cycle of Healthcare Application Development? An Analysis of the Opportunities and Challenges of the Use of HCI Techniques in the Healthcare Sector
• Investigating the Impact of Ventilator Bundle Compliance Rates on Predicting ICU Patients with Risk for Hospital-Acquired Ventilator-Associated Pneumonia Infection in Saudi Arabia
• Creative Coding for Dance Movement Therapy in Children with Autism
• Com@Rehab: An Interactive and Personalised Rehabilitation Activity Based on Virtual Reality
• P2DS: A Holistic Approach to Psychiatric Disease Detection in Community Pharmacies
• Coding by Design: GPT-4 Empowers Agile Model Driven Development
• Multi-Dimensional Process Analysis of Software Development Projects
• A Model-Based Framework for News Content Analysis
• Comparative Evaluation of NLP Approaches for Requirements Formalisation
• System Architects Are not Alone Anymore: Automatic System Modeling with AI
• The Lifecycle of Data Clumps: A Longitudinal Case Study in Open-Source Projects
• DecSup: An Architecture Description Language for Specifying and Simulating the Decision Support System Architectures
• Fault Tree Reliability Analysis via Squarefree Polynomials
• Kant: A Domain-Specific Language for Modeling Security Protocols
• Model-Based Assessment of Conformance to Acknowledged Security-Related Software Architecture Good Practices
• Qualitative Reasoning and Design Space Exploration
• Concept of Automated Testing of Interactions with a Domain-Specific Modeling Framework with a Combination of Class and Syntax Diagrams
• AI-Based Recognition of Sketched Class Diagrams
• An Analysis and Simulation Framework for Systems with Classification Components
• Defining KPIs for Executable DSLs: A Manufacturing System Case Study
• On Augmenting Scenario-Based Modeling with Generative AI
• Large Language Models in Enterprise Modeling: Case Study and Experiences
• A Tool for Modeling and Tailoring Hybrid Software Processes
• Single-Sourcing for Desktop and Web Applications with EMF Parsley
• MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard
• Torque not Work, Representing Kinds of Quantities
• Virtual61850: A Model-Driven Tool to Support the Design and Validation of Virtualized Controllers in Power Industry
• Constructive Assertions with Abstract Models
• MBSE to Support Engineering of Trustworthy AI-Based Critical Systems
• Jabuti CE: A Tool for Specifying Smart Contracts in the Domain of Enterprise Application Integration
• Model-Driven Methodology for Developing Chatbots Based on Microservice Architecture
• Towards a Domain Model for Learning and Teaching
• Using Personalised Authentication Flows to Address Issues with Traditional Authentication Methods
• Collaborative Computing Paradigms: A Software Systems Architecture for Dynamic IoT Environments
• Improvement of Ghost Imaging-OCT High-Resolution Real-Time Imaging
• Improving a Compressively Strained Ga x In 1-X N y As 1-Y /GaAs Multiple Quantum Well Lasers for Emitting around 1300 Nm
• Biconic Approximation of a Toric Surface
• Developing a Sequential Mask Projection Technique for Micro-Lens Generation Using Excimer Laser Micro-Structuring
• Machine Learning-Based Disease Severity Prediction in Sickle Cell Patients: Spectroscopic Insights
• Optical Characterization of Micro Spiral Phase Plates
• Numerical Evaluation of the Image Space Reconstruction Algorithm
• OCT Image Analysis of Internal Changes in Leaves due to Ozone Stresses
• Subwavelength Plasma Gratings Formation in the Process of Laser Modification in the Volume of Fused Silica
• Optimization of Active Region of Quantum Cascade Laser (QCL) by Coupled Calculation of Genetic Algorithm and QCL Simulator
• Design and Simulation of Single-Mode and Polarization Independent Deeply Etched Amorphous Silicon on SOI Waveguides
• On the Formal Robustness Evaluation for AI-based Industrial Systems
• On Some Artificial Intelligence Methods in the V-Model of Model-Based Systems Engineering
• Bringing Systems Engineering Models to Large Language Models: An Integration of OPM with an LLM for Design Assistants
• MBSE-Enhanced LSTM Framework for Satellite System Reliability and Failure Prediction
• On the Artificial Reasoning with Chess: A CBR vs PBR View
• Compliance by Design for Cyber-Physical Energy Systems: The Role of Model-Based Systems Engineering in Complying with the EU AI Act
• AI Engineering for Trust by Design
• AI Systems Trustworthiness Assessment: State of the Art
• Facilitating User-Centric Model-Based Systems Engineering Using Generative AI
• How the Health Insurance Industry Is Uniquely Positioned to Implement Digital Health Interventions and Preventative Care Measures
• Advocating for Harnessing the Power of Ecosystems in Healthcare: The Case of an Ecosystem in the Realm of Parkinson’s Disease - A Position Paper
• Transforming NCD Business Models in Switzerland: CSS Insurance Perspective
• What Needs to Change to Make Digital Health Successful? The Perspective of the Austrian Healthcare Provider Mavienext
• Navigating Germany’s Digital Health Ecosystem: Insights from a Health Insurance Industry Expert
• Harmonizing Innovation and Regulation: Swiss Health Insurance Navigates Digital Health Technologies for Enhanced Patient Engagement
• Aligning Strategies: How Digital Health Technologies Are Used by a Swiss Insurance Company to Foster a Sustainable Healthcare Landscape
• Implications and Perceptions of Digital Health Technologies: A Multiple Case Study on the Payers’ Viewpoint
• Unlocking the Potential of Digital Health Technologies: The Role of Health Insurance Companies in Shaping the Digital Healthcare Ecosystem
• Reimagining Preventive Care and Digital Health: A Paradigm Shift in a Health Insurance’s Role
• Localized Surface Plasmon Resonance on Optical Fiber Surface for Chemical Sensing
• Investigation of Lossy Mode Resonance Phenomenon in High Index Cladding Optical Fiber
• Promote Competency-Based Training Approach in Quality, Regulatory and Clinical Affairs to Improve MD/IVDD Safety and Performance
• Clinical Evaluation of Collaborative Artificial Intelligence Systems: Lessons from the Case of Robot-Assisted Surgery
• A Skill based Educational Program for Future Regulatory Affairs Professionals in the Medical Devices Industry: A Top down Approach at Polytech Lyon University, France
• An Example of Personalized Pathway in Medical Device Evaluation for a Master Student in Clinical Research
• Use of a Digital Positioning and Categorisation Aid for Clinical Investigations on Medical Devices: Questioning the Complexity of the Field and Harmonizing Stakeholders' Understanding
• ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach
• A Systematic Analysis of Depression-Related Discourse Within Facebook: A Comparison Between Brazilian and American Communities
• Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications
• Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem
• Dynamic Path Planning for Autonomous Vehicles Using Adaptive Reinforcement Learning
• A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
• XGBoost Learning of Dynamic Wager Placement for In-Play Betting on an Agent-Based Model of a Sports Betting Exchange
• Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms
• Multi-Agent Monocular SLAM
• Clustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation
• Decentralized Intelligence for Smart Agriculture
• Deep Reinforcement Learning Framework with Representation Learning for Concurrent Negotiation
• Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining Attack
• Twisted Strategy Bolsters Minority Cooperator Populations
• Parameter Estimation of Macroeconomic Agent-Based Models Using Evolutionary Computation
• Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
• Be Persuasive! Automatic Transformation of Virtual Agent's Head and Facial Behavior
• Driving Towards a Sustainable Future: A Multi-Layered Agent-Based Digital Twin Approach for Rural Areas
• Unmasking the Giant: A Comprehensive Evaluation of ChatGPT’s Proficiency in Coding Algorithms and Data Structures
• Effects of Virtual-Teacher Appearance and Student Gender on Lesson Effectiveness in Teaching About Social Issues
• Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization
• ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering
• A Three-Valued Semantics for Negotiated Situation of Multi-Agent System Based on BATNA and WATNA
• Scalable Verification of Social Explainable AI by Variable Abstraction
• Sweeping-Based Multi-Robot Exploration in an Unknown Environment Using Webots
• AutoNav in C-L-U-E: A Baseline Autonomous Software Stack for Autonomous Navigation in Closed Low-Speed Unstructured Environments
• Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning
• Simulation Analysis of Evacuation Guidance Using Dynamic Distributed Signage
• Experimenting with Planning and Reasoning in Ad Hoc Teamwork Environments with Large Language Models
• A Framework for Studying Communication Pathways in Machine Learning-Based Agent-to-Agent Communication
• Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking
• Improving the Sum-of-Cost Methods for Reduction-Based Multi-Agent Pathfinding Solvers
• Adapted Conflict Detection for Conflict Based Search
• Better Spacial Hashing with Linear Memory Usage and Parallelism
• The Role of Stop-Loss Orders in Market Efficiency and Stability: An Agent-Based Study
• Exploring the Impact of Competing Narratives on Financial Markets II: An Opinionated Trader Agent-Based Model with Dynamic Feedback
• Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events
• DriveToGæther: A Turnkey Collaborative Robotic Event Platform
• Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent
• Quantum Advantage Actor-Critic for Reinforcement Learning
• Multi-Agent Based Framework for Cooperative Traffic Management in C-ITS System
• Multi-Agent Path Finding: Policies Instead of Plans
• Exploring the Impact of Competing Narratives on Financial Markets I: An Opinionated Trader Agent-Based Model as a Practical Testbed
• Investigation of Heuristics for PIBT Solving Continuous MAPF Problem in Narrow Warehouse
• An Investigation of Distributed Constraint Optimization with Non-Responding Agents Toward Real-Time Solution Method on Practical Messaging Platforms
• Advancements in Traffic Simulations with multiMATSim’s Distributed Framework
• Comparing Variable Handling Strategies in BDI Agents: Experimental Study
• Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach
• Using Chatbot Technologies to Support Argumentation
• Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite
• Analysis of the Effectiveness of Large Language Models in Assessing Argumentative Writing and Generating Feedback
• Predicting Major Donor Prospects Using Machine Learning
• I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments
• An Analysis of Knowledge Representation for Anime Recommendation Using Graph Neural Networks
• Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs
• Lazy Nested Monte Carlo Search for Coalition Structure Generation
• Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets
• Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents
• Multiple Relations Classification Using Imbalanced Predictions Adaptation
• Neural Architecture Search for Bearing Fault Classification
• Optimization of Fuzzy Rule Induction Based on Decision Tree and Truth Table: A Case Study of Multi-Class Fault Diagnosis
• Investigation into the Training Dynamics of Learned Optimizers
• A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams
• DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
• Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess
• Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits
• Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
• An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels
• Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
• Multi-Granular Evaluation of Diverse Counterfactual Explanations
• Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
• Machine Learning-Based Optimization of E-Commerce Advertising Campaigns
• GNNDLD: Graph Neural Network with Directional Label Distribution
• Dynamically Choosing the Number of Heads in Multi-Head Attention
• Parameter-Free Undersampling for Multi-Label Data
• Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce
• On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts
• Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning
• CNNs Sparsification and Expansion for Continual Learning
• Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text
• Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements
• LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images
• VP-DARTS: Validated Pruning Differentiable Architecture Search
• On Learning Bipolar Gradual Argumentation Semantics with Neural Networks
• A Probabilistic Approach for Detecting Real Concept Drift
• EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation
• Metrics for Popularity Bias in Dynamic Recommender Systems
• Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study
• Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences
• Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson’s Disease Detection
• Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems
• Towards the Use of AI-Based Tools for Systematic Literature Review
• ALISE: An Automated Literature Screening Engine for Research
• Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling
• A Survey of Deep Learning: From Activations to Transformers
• DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System
• Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels
• Hybrid Quanvolutional Echo State Network for Time Series Prediction
• Fingerprint Large Classification Using Sequential Learning on Parallel Environment
• Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data
• Foundations of Dispatchability for Simple Temporal Networks with Uncertainty
• A Unified Conceptual Framework Integrating UML and RL for Efficient Reconfiguration Design
• A Challenging Data Set for Evaluating Part-of-Speech Taggers
• Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations
• HierNet: Image Recognition with Hierarchical Convolutional Networks
• A Coachable Parser of Natural Language Advice
• Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors
• From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework
• A Deep Analysis for Medical Emergency Missing Value Imputation
• Partial Tensorized Transformers for Natural Language Processing
• Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
• Adaptive Questionnaire Design Using AI Agents for People Profiling
• VOEDHgesture: A Multi-Purpose Visual Odometry/ Simultaneous Localization and Mapping and Egocentric Dynamic Hand Gesture Data-Set for Virtual Object Manipulations in Wearable Mixed Reality
• Advanced Deep Learning Techniques for Industry 4.0: Application to Mechanical Design and Structural Health Monitoring
• Improvement of Satellite Image Classification Using Attention-Based Vision Transformer
• Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position
• iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals
• Sales Forecasting for Pricing Strategies Based on Time Series and Learning Techniques
• Performance Assessment of Neural Radiance Fields (NeRF) and Photogrammetry for 3D Reconstruction of Man-Made and Natural Features
• Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation
• Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization
• Automatic Detection and Classification of Atmospherical Fronts
• A Systematic Literature Review of Artificial Intelligence Applications for Diagnosing Hand Tremor Disorders Through Video Analysis
• Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods
• Mobile Agents-Based Framework for Dynamic Resource Allocation in Cloud Computing
• Climate-Friendly Online Shopping Within the Green eCommerce Project: A Fitting Tool to Determine T-Shirt Sizes Using Active Depth Sensing
• Designing Algorithms for the Shortest Path Reconfiguration Problem Using Decision Diagram Operations
• FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity
• A Novel Image Steganography Method Based on Spatial Domain with War Strategy Optimization and Reed Solomon Model
• A Novel Metric for Measuring Data Quality in Classification Applications
• Hybrid Approach to Explain BERT Model: Sentiment Analysis Case
• A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network
• Transition of Model Performance in Dependence of the Amount of Data Corruption with Respect to Network Sizes
• AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
• Rule-Based Decision Making in Biologically Inspired Condition Management System
• Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection
• A Soft Constraint-Based Framework for Ethical Reasoning
• Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping
• CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging
• Artificial Intelligence Algorithms to Predict College Students’ Dropout: A Systematic Mapping Study
• Curvature-Informed Attention Mechanism for Long Short-Term Memory Networks
• Using Ensemble Models for Malicious Web Links Detection
• Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events
• Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach
• A Delay-Aware DRL-Based Environment for Cooperative Multi-UAV Systems in Multi-Purpose Scenarios
• Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications
• Nudging Automated Planners with Learned User Preferences
• RLAR: A Reinforcement Learning Abductive Reasoner
• Time Series Prediction Models in Healthcare: Systematic Literature Review
• Relevant Facial Key Parts and Feature Points for Emotion Recognition
• Prediction in Pre-University Education System Using Machine Learning Methods
• Variance Reduction of Resampling for Sequential Monte Carlo
• A Comprehensive Analysis of Parkinson’s Disease Detection Through Inertial Signal Processing
• A Novel Partitioning Approach for Real-Time Scheduling of Mixed-Criticality Systems
• A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology
• A Toolset for Constraint Programming
• Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data
• Digital Twin and Foundation Models: A New Frontier
• Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
• DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers
• System-Call-Level Dynamic Analysis for Code Translation Candidate Selection
• Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics
• Towards a Biologically-Plausible Computational Model of Human Language Cognition
• Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data
• Social Implications of OCEAN Personality: An Automated BERT-Based Approach
• Agent Based Model for AUTODL Optimisation
• Autonomous Drone Takeoff and Navigation Using Reinforcement Learning
• New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition
• Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph
• Digital Discrimination Detection in Ridesharing Services in Rio de Janeiro City
• SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings
• Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling
• F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning
• Simulation of Consumers Behavior Facing Discounts and Promotions
• Zero Trust for Intrusion Detection System: A Systematic Literature Review
• Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora
• Medi-CAT: Contrastive Adversarial Training for Medical Image Classification
• Requisite Social Influence in Self-Regulated Systems
• Predicting Emotion Before an Utterance: Replacing Contextual Information with Knowledge-Based Prediction
• Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
• Proposal of a Cosmetic Product Recommendation Method with Review Text that is Predicted to Be Write by Users
• Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence
• Solving Job Shop Problems with Neural Monte Carlo Tree Search
• Multi-Agent Deep Reinforcement Learning for Collaborative Task Scheduling
• BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets
• LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags
• Quantum Federated Learning for Image Classification
• GREED: Graph Learning Based Relation Extraction with Entity and Dependency Relations
• New Speed Limit Recognition System: Software and Hardware Validation
• Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
• A Description Language for Similarity, Belief Change and Trust
• Knowledge-Aware Object Detection in Traffic Scenes
• Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning
• Oral Diseases Recognition Based on Photographic Images
• ConEX: A Context-Aware Framework for Enhancing Explanation Systems
• Heuristic Feedback for Generator Support in Generative Adversarial Network
• Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
• Enhancing Breast Cancer Diagnosis: Automated Segmentation and Detection with YOLOv8
• Activity Recognition in Smartphones Using Non-Intrusive Sensors
• Detecting and Analyzing Agent Communication Anomalies in Distributed Energy System Control
• SIFT-ResNet Synergy for Accurate Scene Word Detection in Complex Scenarios
• A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content
• Parkinson’s Disease Detection Through Inertial Signals and Posture Insights
• Harnessing LLM Conversations for Goal Model Generation from User Reviews
• Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts
• A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA
• Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting
• Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
• Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
• Conjugate Gradient for Latent Space Manipulation
• Compressing UNSAT CDCL Trees with Caching
• Uncertain Formal Concept Analysis for the Study of a Text Corpus
• Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks
• Significance of Training Images and Feature Extraction in Lesion Classification
• GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions
• Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques
• A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques
• FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network
• Towards Knowledge-Augmented Agents for Efficient and Interpretable Learning in Sequential Decision Problems
• Decoupling the Backward Pass Using Abstracted Gradients
• Multiverse: A Deep Learning 4X4 Sudoku Solver
• A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain
• A Formal Verification Approach to Handle Attack Graphs
• Enhancing Constraint Optimization Problems with Greedy Search and Clustering: A Focus on the Traveling Salesman Problem
• GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning
• Hybrid PSO-Based Rule Classifier for Disease Detection
• Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks
• A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop
• Generating Products Placement in Warehouse Using BLPSO and MIQCPs
• Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning
• Efficient Batch Assignment for Parallel-Machine Production Scheduling
• Heimatkunde: Dataset for Multi-Modal Historical Document Analysis
• Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario
• Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning
• Multicriteria Analysis of the Robotic Systems Autonomy Using Fuzzy Calculations
• Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure
• Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features
• A Logic-Based Model to Reduce IoT Security Risks
• Why an Automated, Scalable and Resilient Service for Semantic Interoperability is Needed
• Autonomous Methods in Multisensor Architecture for Smart Surveillance
• GENERATION: An Efficient Denoising Autoencoders-Based Approach for Amputated Image Reconstruction
• Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality?
• Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
• Action Duration Generalization for Exact Multi-Agent Collective Construction
• Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
• Which Objective Function is Solved Faster in Multi-Agent Pathfinding? It Depends
• DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations
• Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques
• Auditing Fairness and Explainability in Chest X-Ray Image Classifiers
• Machine Learning for Predicting Traffic and Determining Road Capacity
• Class Anchor Margin Loss for Content-Based Image Retrieval
• Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
• Explainable Large Language Models & iContracts
• Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms
• 3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness
• Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model?
• Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach
• A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling
• Government's Response to Ethical Dilemmas in Autonomous Vehicle Accidents: An Australian Policy Evaluation
• Deep Learning Model to Predict the Ripeness of Oil Palm Fruit
• Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models
• Academia and Industry Synergy: Addressing Integrity Challenge in Programming Education
• Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming
• Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program
• A Bounded Multi-Vacation Queue Model for Multi-Stage Sleep Control
• Integrating Memory-Based Perturbation Operators into a Tabu Search Algorithm for Real-World Production Scheduling Problems
• Generalized Maximum Capacity Path Problem with Loss Factors
• A Neurodynamic Duplex for Distributionally Robust Joint Chance-Constrained Optimization
• Stochastic Single-Allocation Hub Location Routing Problem for the Design of Intra-City Express Systems
• Pareto Front Approximation by Ant Colony Optimization
• Two-Stage Adaptable Robust Optimization for Glass Production
• An Alternative Robust Design to Assist a Single-Objective Performance Optimization: Simulation Analysis of a Flexible Manufacturing System
• Integration of Sustainable Production Criteria into Production Scheduling: A Systematic Search and a Critical Review
• Naval Fleet Schedule Optimization Using an Integer Linear Program
• Multi-Criteria Service System Designing Using Tabu Search Method
• Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs
• An Efficient Approximate Dynamic Programming Approach for Resource-Constrained Project Scheduling with Uncertain Task Duration
• Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics
• Innovation Project Selection Considering Stochastic Weighted Product Model
• The multi-Depot multiple Set Orienteering Problem: An Integer Linear Programming Formulation
• Multi-Server Queue, with Heterogeneous Service Valuations Induced by Travel Costs
• Integration of Pricing and Production Scheduling Decisions: A Mathematical Model
• Hybrid Manufacturing / Remanufacturing Inventory Model with Two Markets and Price Sensitive Demands with Competition
• Economic Sustainability in Last-Mile Drone Delivery Problem with Fulfillment Centers: A Mathematical Formulation
• A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing
• Variable Neighborhood Search for the Electric Bus Charging Stations Location Design Problem
• Equilibrium Analysis and Social Optimization of a Selectable Single or Time-Based Batch Service
• A Supervised Machine Learning Approach for the Vehicle Routing Problem
• Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
• Toward a Global Constraint for Minimizing the Flowtime
• Modeling Missing Maritime Objects Using an Agent Based Model
• Integrating Reliability and Sustainability: A Multi-Objective Framework for Opportunistic Maintenance in Closed-Loop Supply Chain
• Evolutionary-Based Ant System Algorithm to Solve the Dynamic Electric Vehicle Routing Problem
• Evolutionary Techniques for the Nurse Scheduling Problem
• Investigation of Workforce Dynamical Behaviour from a Phase Plane Perspective
• Toward Pareto-Optimal Investment Mix to Achieve Carbon Neutrality: A Case Study
• Packing-Inspired Algorithms for Periodic Scheduling Problems with Harmonic Periods
• Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile
• A Revisited Branch and Bound Method for the Weighted Safe Set Problem
• A Sequential Heuristic for the Efficient Management of a Work Center’s Stocking Area
• Finite Interval Processes: Simulating Military Operations
• Scheduling Onboard Tasks of the NIMPH Nanosatellite
• Deep Transfer Learning for Installed Base Life-Cycle Evolution Forecast
• Heuristic Methods for the Antenna-Constrained Beam Layout Optimization on Multibeam Broadcasting Mission
• Partition-Form Cooperative Games in Two-Echelon Supply Chains
• Serial or Simultaneous? Possible Attack Strategies with an Arsenal of Attack Tools
• A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents
• MAC: Multi-Scales Attention Cascade for Aerial Image Segmentation
• Group Importance Estimation Method Based on Group LASSO Regression
• Offline Text-Independent Arabic and Chinese Writer Identification Using a Multi-Segmentation Codebook-Based Strategy
• Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data
• Achieving RGB-D Level Segmentation Performance from a Single ToF Camera
• Small Patterns Detection in Historical Digitised Manuscripts Using Very Few Annotated Examples
• Practical Deep Feature-Based Visual-Inertial Odometry
• Efficient Use of Large Language Models for Analysis of Text Corpora
• Noise Simulation for the Improvement of Training Deep Neural Network for Printer-Proof Steganography
• Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion
• TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation
• Impact of Using GAN Generated Synthetic Data for the Classification of Chemical Foam in Low Data Availability Environments
• Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace
• Improvement of Tensor Representation Label in Image Recognition: Evaluation on Selection, Complexity and Size
• Leveraging VR and Force-Haptic Feedback for an Effective Training with Robots
• QEBB: A Query-Efficient Black-Box Adversarial Attack on Video Recognition Models Based on Unsupervised Key Frame Selection
• TrajViViT: A Trajectory Video Vision Transformer Network for Trajectory Forecasting
• Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance
• Enhancing the Readability of Palimpsests Using Generative Image Inpainting
• FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs
• On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
• Cardiac Arrhythmia Detection in Electrocardiogram Signals with CNN-LSTM
• Mobile Phone Identification from Recorded Speech Signals Using Non-Speech Segments and Universal Background Model Adaptation
• Content Rating Classification in Fan Fiction Using Active Learning and Explainable Artificial Intelligence
• Deep Learning, Feature Selection and Model Bias with Home Mortgage Loan Classification
• Detection of Energy Drifts in Waste Water Treatment Plants Using Dynamic Clustering
• Fetal Health Classification Using One-Dimensional Convolutional Neural Network
• GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images
• Path of Solutions for Fused Lasso Problems
• Self-Supervised-Based Multimodal Fusion for Active Biometric Verification on Mobile Devices
• Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs
• Applying the Neural Bellman-Ford Model to the Single Source Shortest Path Problem
• Face Blending Data Augmentation for Enhancing Deep Classification
• Determination of Factors of Interest in Bone Models Based on Ultrasonic Data
• CLIP: Assisted Video Anomaly Detection
• Semantic and Horizon-Based Feature Matching for Optimal Deep Visual Place Recognition in Waterborne Domains
• Directional Filter for Tree Ring Detection
• CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization
• PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm
• Generative Data Augmentation for Few-Shot Domain Adaptation
• Let Me Take a Better Look: Towards Video-Based Age Estimation
• Military Badge Detection and Classification Algorithm for Automatic Processing of Documents
• Impute Water Temperature in the Swiss River Network Using LSTMs
• Robust 3D Point Cloud Registration Exploiting Unique LiDAR Scanning Pattern
• Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation
• Detecting Manuscript Annotations in Historical Print: Negative Evidence and Evaluation Metrics
• Intrusion Detection at Railway Tunnel Entrances Using Dynamic Vision Sensors
• Homomorphic Encryption Friendly Multi-GAT for Information Extraction in Business Documents
• ShapeAug: Occlusion Augmentation for Event Camera Data
• Linux Configuration Tuning: Is Having a Large Dataset Enough?
• Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure
• AirEyeSeg: Teacher-Student Insights into Robust Fisheye UAV Detection
• Discrimination of Signals from Large Covariance Matrix for Pattern Recognition
• Large Age Gap Face Verification by Learning GAN Synthesized Prototype Representations
• An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition
• Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
• Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
• Detecting Overgrown Plant Species Occluding Other Species in Complex Vegetation in Agricultural Fields Based on Temporal Changes in RGB Images and Deep Learning
• Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads
• Crossing Domain Borders with Federated Few-Shot Adaptation
• Parallel Tree Kernel Computation
• Identifying Indian Cattle Behaviour Using Acoustic Biomarkers
• Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems
• Speech Recognition for Indigenous Language Using Self-Supervised Learning and Natural Language Processing
• Person Detection and Geolocation Estimation in UAV Aerial Images: An Experimental Approach
• Instance Selection Framework for Alzheimer’s Disease Classification Using Multiple Regions of Interest and Atlas Integration
• Incremental Whole Plate ALPR Under Data Availability Constraints
• Neuromorphic Encoding / Reconstruction of Images Represented by Poisson Counts
• Information Retrieval Chatbot on Military Policies and Standards
• Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
• Vision Transformer Interpretability via Prediction of Image Reflected Relevance Among Tokens
• Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images
• Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document
• Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models
• Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning
• Visualization of the Basis for Decisions by Selecting Layers Based on Model's Predictions Using the Difference Between Two Networks
• Information Theoretic Deductions Using Machine Learning with an Application in Sociology
• YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles
• Enhanced Segmentation of Deformed Waste Objects in Cluttered Environments
• Improvement of TransUNet Using Word Patches Created from Different Dataset
• An Algorithmic Approach for Quantitative Motion Artefact Grading in HRpQCT Medical Imaging
• Efficient Solver Scheduling and Selection for Satisfiability Modulo Theories (SMT) Problems
• Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House
• Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition
• Fuel Classification in Electronic Tax Documents
• Surface Extraction in Coherence Scanning Interferometry by Gauss-Markov Monte-Carlo Method and Teager-Kaiser Operator
• A Mutual Information Based Discretization-Selection Technique
• Sample Size Estimation of Transfer Learning for Colorectal Cancer Detection
• A Post-Processing Strategy for Association Rules in Knowledge Discovery
• Towards Small Anomaly Detection
• XPCA Gen: Extended PCA Based Tabular Data Generation Model
• Classification Performance Boosting for Interpolation Kernel Machines by Training Set Pruning Using Genetic Algorithm
• Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning
• Semantic Properties of Cosine Based Bias Scores for Word Embeddings
• An Improved VGG16 Model Based on Complex Invariant Descriptors for Medical Images Classification
• A Novel Keystroke Dataset for Preventing Advanced Persistent Threats
• On Function of the Cortical Column and Its Significance for Machine Learning
• Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification
• Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging
• Sign Language Recognition Based on Subspace Representations in the Spatio-Temporal Frequency Domain
• Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases
• A Federated Learning System with Biometric Medical Image Authentication for Alzheimer's Diagnosis
• Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old
• Unveiling the Power of EEG Signals: Parkinson's Disease Identification via Yet Another Mobile Network (YAMNet)
• Detecting Brain Tumors Through Multimodal Neural Networks
• Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile
• Fine-Grained Clustering of Social Media: How Moral Triggers Drive Preferences and Consensus
• An Ontology for Value Awareness Engineering
• Towards a Definition of Awareness for Embodied AI
• AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures
• Towards a Theory of Awareness
• Notes on Measures for Information Access in Neuroscience and AI Systems
• Exploring Text-Generating Large Language Models (LLMs) for Emotion Recognition in Affective Intelligent Agents
• Distributed Theory of Mind in Multi-Agent Systems
• An Interpretable Machine Learning Approach for Identifying Occupational Stress in Healthcare Professionals
• Exploring the Relationship Between Emotions and Norms in Decision-Making Processes of Intelligent Agents
• A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions
• The Three Worlds of MRI
• Modeling Intestinal Glucose Absorption from D-Xylose Data
• Hand Movement Recognition Based on Fusion of Myography Signals
• Multi-Agent Path Finding with Continuous Time Using SAT Modulo Linear Real Arithmetic
• Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves
• Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects
• Classifying Words with 3-sort Automata
• SMOTE: Are We Learning to Classify or to Detect Synthetic Data?
• Outlier Detection in MET Data Using Subspace Outlier Detection Method
• Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport
• An Approach for Improving Oversampling by Filtering out Unrealistic Synthetic Data
• Surface EMG Signal Segmentation and Classification for Parkinson’s Disease Based on HMM Modelling
• Towards Better Motif Detection: Comparative Analysis of Several Symbolic Methods
• Automatic Generation of Models from Their Metamodels Using Multilayer Perceptron Network
• Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models
• Security Contracts a Property-Based Approach to Support Security Patterns
• Comparing Phishing Training and Campaign Methods for Mitigating Malicious Emails in Organizations
• Ethical Design for Data Privacy and User Privacy Awareness in the Metaverse
• User Re-Authentication via Mouse Movements and Recurrent Neural Networks
• Analysis of Payload Confidentiality for the IoT/ LPWAN Technology ‘Lora’
• KAIME: Central Bank Digital Currency with Realistic and Modular Privacy
• Policy-Driven XACML-Based Architecture for Dynamic Enforcement of Multiparty Computation
• Desktop Crypto Wallets: A Digital Forensic Investigation and Analysis of Remnants and Traces on end-User Machines
• Anywhere on Earth: A Look at Regional Characteristics of DRDoS Attacks
• Robust Image Deepfake Detection with Perceptual Hashing
• Botnet Detection by Integrating Multiple Machine Learning Models
• Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks
• A Categorical Data Approach for Anomaly Detection in WebAssembly Applications
• Automating IoT Security Standard Testing by Common Security Tools
• Federated Learning with Differential Privacy and an Untrusted Aggregator
• A Framework for E2E Audit Trails in System Architectures of Different Enterprise Classes
• Off-Chaining Approaches for Cost-Efficiency in Threshold-Based Elliptic Curve Systems over Blockchains
• CPE-Identifier: Automated CPE Identification and CVE Summaries Annotation with Deep Learning and NLP
• UPSS: A Global, Least-Privileged Storage System with Stronger Security and Better Performance
• Forgery Resistance of User Authentication Methods Using Location, Wi-Fi and Their Correlation
• Silicon-Integrated Security Solutions Driving IoT Security
• Comparing the Effectivity of Planned Cyber Defense Controls in Order to Support the Selection Process
• Security Analysis of an Image Encryption Based on the Kronecker Xor Product, the Hill Cipher and the Sigmoid Logistic Map
• Evaluating the Security and Privacy Risk Postures of Virtual Assistants
• Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity
• Enclave Management Models for Safe Execution of Software Components
• The Classification and Impact of Cyber Attacks Targeting Critical Service Providers
• The Role of Heuristics and Biases in Linux Server Administrators’ Information Security Policy Compliance at Healthcare Organizations
• GPU-Based Brute Force Cryptanalysis of KLEIN
• Anonymous Multi-Receiver Certificateless Hybrid Signcryption for Broadcast Communication
• Gradient-Based Clean Label Backdoor Attack to Graph Neural Networks
• Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting
• Perceptions of Cyber Security Risk of the Norwegian Advanced Metering Infrastructure
• Machine Learning-Based Classification of Hardware Trojans in FPGAs Implementing RISC-V Cores
• A Decentralized Federated Learning Using Reputation
• An Open-Source Approach to OT Asset Management in Industrial Environments
• Exploring Errors in Binary-Level CFG Recovery
• Evaluating the Influence of Multi-Factor Authentication and Recovery Settings on the Security and Accessibility of User Accounts
• Effectiveness of Malware Incident Management in Security Operations Centres: Trends, Challenges and Research Directions
• Towards Generalized Diffie-Hellman-esque Key Agreement via Generic Split KEM Construction
• Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode
• Security Analysis of an Image Encryption Scheme Based on a New Secure Variant of Hill Cipher and 1D Chaotic Maps
• ADMIn: Attacks on Dataset, Model and Input: A Threat Model for AI Based Software
• Vulnerability Information Sharing Platform for Securing Hardware Supply Chains
• Efficient Secure Computation of Edit Distance on Genomic Data
• Towards Automated Information Security Governance
• Feasibility of Random Forest with Fully Homomorphic Encryption Applied to Network Data
• AnonEmoFace: Emotion Preserving Facial Anonymization
• Merging Policy and Practice: Crafting Effective Social Engineering Awareness-Raising Policies
• Pure Multi Key BGV Implementation
• Preserving Privacy in High-Dimensional Data Publishing
• Attestation with Constrained Relying Party
• Implementation and Analysis of Covert Channel Using iBeacon
• Exploring BERT for Predicting Vulnerability Categories in Device Configurations
• LSTM Autoencoder-Based Insider Abnormal Behavior Detection Using De-Identified Data
• Supporting CAN Bus Anomaly Detection with Correlation Data
• PenGym: Pentesting Training Framework for Reinforcement Learning Agents
• Cybersecurity-Related Tweet Classification by Explainable Deep Learning
• ArkThor: Threat Categorization Based on Malware’s C2 Communication
• APP-CEP: Adaptive Pattern-Level Privacy Protection in Complex Event Processing Systems
• A Brief Reflection on Trusted Platform Module Support
• Revolutionizing Board Cyber-Risk Management Using Collaborative Gaming
• Your Robot Might Be Inadvertently or Deliberately Spying on You: A Critical Analysis of Privacy Practices in the Robotics Industry
• Differential Privacy for Distributed Traffic Monitoring in Smart Cities
• RoomKey: Extracting a Volatile Key with Information from the Local WiFi Environment Reconstructable Within a Designated Area
• EMplifier: Hybrid Electromagnetic Probe for Side Channel and Fault Injection Analysis
• Performance Evaluation of Polynomial Commitments for Erasure Code Based Information Dispersal
• A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features
• Interpretable Android Malware Detection Based on Dynamic Analysis
• Visual Attention and Privacy Indicators in Android: Insights from Eye Tracking
• The Status and Management of Web-Related Security at Higher Education Institutions in Poland
• FeedMeter: Evaluating the Quality of Community-Driven Threat Intelligence
• Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation
• Conceptualising an Anti-Digital Forensics Kill Chain for Smart Homes
• Security Evaluation of Decision Tree Meets Data Anonymization
• IoT Device Classification Using Link-Level Features for Traditional Machine Learning and Large Language Models
• Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts
• PETRIoT - A Privacy Enhancing Technology Recommendation Framework for IoT Computing
• An Automated Adaptive Security Framework for Cyber-Physical Systems
• An Empirical Study of Ransomware Vulnerabilities Descriptions
• Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol
• Secure Multiparty Computation of the Laplace Mechanism
• What's Your Purpose? An Approach to Incorporating GDPR Purposes into Requirements Analysis
• Using ILP to Learn AppArmor Policies
• Cybersecurity Incident Response Readiness in Organisations
• The Right Tool for the Job: Contextualization of Cybersecurity Education and Assessment Methods
• Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective
• Blockchain for Privacy-Preserving Data Distribution in Healthcare
• The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis
• Detecting eBPF Rootkits Using Virtualization and Memory Forensics
• Feasibility of Privacy Preserving Minutiae-Based Fingerprint Matching
• Innovative Uses of Drones for Logistics in Healthcare and Production
• Letting Go of the Numbers: Measuring AI Trustworthiness
• Trajectory Augmentation for Robust Neural Locomotion Controllers
• Real-Time Desertscapes Simulation with CUDA
• Exploring the Effect of Display Type on Co-Located Multiple Player Gameplay Performance, Immersion, Social Presence, and Behavior Patterns
• Pure Physics-Based Hand Interaction in VR
• Using the Polynomial Particle-in-Cell Method for Liquid-Fabric Interaction
• Towards Generating 3D City Models with GAN and Computer Vision Methods
• Sparse Spatial Shading in Augmented Reality
• ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees
• Polyline Simplification with Predefined Edge Directions by Mixed Integer Linear Programs
• Parameter-Free Connectivity for Point Clouds
• Viewpoint Selection for Molecular Visualization: Analysis and Applications
• A Predictor for Triangle Mesh Compression Working in Tangent Space
• Efficiency of 3D Fractal Generation Through Raymarching
• Data-Driven Viscosity Solver for Fluid Simulation
• Automatic Registration of 3D Point Cloud Sequences
• Thinking on Your Feet: Enhancing Foveated Rendering in Virtual Reality During User Activity
• Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering
• HandWindowTeleportation: Locomotion with Hand Gestures for Virtual Reality Games
• Virtual Reality for Detailed Visualization and Generation of Proximal and Distal Bone Fracture Patterns
• An Evaluation Research on Dynamic Hit Stop Using Eye Gaze
• Handing Pedagogical Scenarios Back over to Domain Experts: A Scenario Authoring Model for VR with Pedagogical Objectives
• Hierarchical Bitmask Implicit Grids for Efficient Point-in-Volume Queries on the GPU
• TreeSpecies-PC2DT: Automated Tree Species Modeling from Point Clouds to Digital Twins
• Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects
• Transformer-Based Two-level Approach for Music-driven Dance Choreography
• Detection of Local Symmetry Polylines of Polygons Based on Sweeping Paradigm
• Adaptation Speed for Exposure Control in Virtual Reality
• Automated Palette Cycling Animations
• Exploring Foveation Techniques for Virtual Reality Environments
• A Virtual Reality Prototype as a Tool Against Verbal Abuse in Classrooms: A Multidisciplinary Approach
• Pseudo-Curvature of Fractal Curves for Geometric Control of Roughness
• Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car
• Evaluating Blink Rate as a Dynamic Indicator of Mental Workload in a Flight Simulator
• Applying Cognitive and Cultural Frameworks to mHealth Application Design for Elderly Users
• Gaia: A Social Robot to Help Connect Humans and Plants
• Sense of Presence, Realism, and Simulation Sickness in Operational Tasks: A Comparative Analysis of Virtual and Mixed Reality
• AR Authoring: How to Reduce Errors from the Start?
• AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study
• A Digital Inclusion and Technological Barriers: Investigating the Challenges Faced by Formerly Incarcerated Populations in Adopting and Accessing Technology
• Virtual Reality and Autism Spectrum Disorder: Emergence of Sensory-Motor and Olfactory Potentialities in an Anthropocentric Epistemological Approach
• Real-Time Heart Rate Visualization for Individuals with Autism Spectrum Disorder: An Evaluation of Technology Assisted Physical Activity Application to Increase Exercise Intensity
• A Comparative Study: Augmented and Virtual Reality Applications for Improving Comprehension of Abstract Programming Concepts
• Visual Behavior Based on Information Foraging Theory Toward Designing of Auditory Information
• Towards Automated Decision Making in Dating Apps Through Pupillary Responses
• From Surveys to TV Series: Study of the Role of Haptic in Social Interaction
• Perception of a Spatial Implausibility Caused by Seamless Covert Teleportation
• Using Fitts' Law to Compare Sonification Guidance Methods for Target Reaching Without Vision
• Look-over-there: Real-World Co-Located Cross-Referencing Using Augmented Reality
• Emotional and Meditative States in Interactive Media Access with a Positive Computing Perspective
• Enhancing the User Interaction of Online Students: Analysis of an Interaction Concept for a Learner Dashboard
• ARTISTA: Redefining Pottery Design with Virtual Reality and Physically Simulated Clay
• Performance Evaluation of Visual Analytics Framework for Monitoring Neuromotor Rehabilitation
• I Feel Safe with the Prediction: The Effect of Prediction Accuracy on Trust
• Exploring Multimodal Interactions with a Robot Assistant in an Assembly Task: A Human-Centered Design Approach
• Visual Analysis of Military Diving Incident Reports
• Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities
• Visualization of Swedish News Articles: A Design Study
• Flowstrates++: An Approach to Visualize Multi-Dimensional OD Data
• Dashboard Design: Interactive and Visual Exploration of Spotify Songs
• Fundamental Limitations of Inverse Projections and Decision Maps
• A Review on Data Terminology in Visual Analytics Tools
• Visualizing Plasma Physics Simulations in Immersive Environments
• Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions
• Using Retrieval Augmented Generation to Build the Context for Data-Driven Stories
• Simultaneous Optimization of Edge Bundling and Node Layout Using Genetic Algorithm
• Increasing User Engagement with a Tracking App Through Data Visualizations
• Particle-Wise Higher-Order SPH Field Approximation for DVR
• Evaluation of Approximate Reflectional Symmetry
• Understanding How Different Visual Aids for Augmented Reality Influence Tool-Patient Alignment in Surgical Tasks: A Preliminary Study
• Scale and Time Independent Clustering of Time Series Data
• Navigating the Trade-Off Between Explainability and Privacy
• A Survey on Storytelling Techniques for Heritage on Nazi Persecution
• Human-Machine Collaboration for the Visual Exploration and Analysis of High-Dimensional Spatial Simulation Ensembles
• Bringing Objects to Life: Supporting Program Comprehension Through Animated 2.5D Object Maps from Program Traces
• M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment
• Classification of Towels in a Robotic Workcell Using Deep Neural Networks
• Online Human Activity Recognition Using Efficient Neural Architecture Search with Low Environmental Impact
• Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning
• Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images
• Synthetic Data-Driven Approach for Missing Nut and Bolt Classification in Flange Joints
• Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles
• Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation
• Attention-Based Shape and Gait Representations Learning for Video-Based Cloth-Changing Person Re-Identification
• Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
• Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection
• Deep Active Learning with Noisy Oracle in Object Detection
• Efficient Parameter Mining and Freezing for Continual Object Detection
• Cybersecurity Intrusion Detection with Image Classification Model Using Hilbert Curve
• Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay
• Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning
• Sumo Action Classification Using Mawashi Keypoints
• Applying Prompts and Parameter-Efficient Methods to Enhance Single-Stream Vision-Language Transformers
• Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain
• Large Scale Graph Construction and Label Propagation
• Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
• Synthesizing Classifiers from Prior Knowledge
• Comparative Study Between Object Detection Models, for Olive Fruit Fly Identification
• StyleHumanCLIP: Text-Guided Garment Manipulation for StyleGAN-Human
• Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions
• Exploring the Impact of Knowledge Graphs on Zero-Shot Visual Object State Classification
• Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation
• S3Aug: Segmentation, Sampling, and Shift for Action Recognition
• Enabling RAW Image Classification Using Existing RGB Classifiers
• Conic Linear Units: Improved Model Fusion and Rotational-Symmetric Generative Model
• Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection
• Generating Videos from Stories Using Conditional GAN
• Occlusion-Robust and Efficient 6D Pose Estimation with Scene-Level Segmentation Refinement and 3D Partial-to-6D Full Point Cloud Transformation
• Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity
• A Fusion Approach for Enhanced Remote Sensing Image Classification
• Multi-Task Learning Based on Log Dynamic Loss Weighting for Sex Classification and Age Estimation on Panoramic Radiographs
• Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering
• Calisthenics Skills Temporal Video Segmentation
• Exploring Unsupervised Domain Adaptation Approaches for Water Parameters Estimation from Satellite Images
• Agrinet: A Hyperspectral Image Based Precise Crop Classification Model
• A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm
• AR-VPT: Simple Auto-Regressive Prompts for Adapting Frozen ViTs to Videos
• Alias-Free GAN for 3D-Aware Image Generation
• Parts-Based Implicit 3D Face Modeling
• Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing
• Anomaly Detection on Roads Using an LSTM and Normal Maps
• Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking
• AbSynth: Using Abstract Image Synthesis for Synthetic Training
• Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry
• Effects of Model Drift on Ship Detection Models
• How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
• SMART-RD: Towards a Risk Assessment Framework for Autonomous Railway Driving
• Minimalist CNN for Medical Imaging Classification with Small Dataset: Does Size Really Matter and How?
• Image Augmentation for Object Detection and Segmentation with Diffusion Models
• Nearest Neighbor-Based Data Denoising for Deep Metric Learning
• Vehicle Pose Estimation: Exploring Angular Representations
• RailCloud-HdF: A Large-Scale Point Cloud Dataset for Railway Scene Semantic Segmentation
• Evaluating Learning Potential with Internal States in Deep Neural Networks
• Unsupervised Annotation and Detection of Novel Objects Using Known Objectness
• Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change
• Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research Through an Extensive Video-Text Corpus
• GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
• Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention
• Variational Autoencoders for Pedestrian Synthetic Data Augmentation of Existing Datasets: A Preliminary Investigation
• A Comparative Evaluation of Self-Supervised Methods Applied to Rock Images Classification
• Detecting Anomalies in Textured Images Using Modified Transformer Masked Autoencoder
• Beyond the Known: Adversarial Autoencoders in Novelty Detection
• When Medical Imaging Met Self-Attention: A Love Story That Didn’t Quite Work out
• Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma
• CSE: Surface Anomaly Detection with Contrastively Selected Embedding
• Multi-Task Planar Reconstruction with Feature Warping Guidance
• Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
• Kore Initial Clustering for Unsupervised Domain Adaptation
• Depth Estimation Using Weighted-Loss and Transfer Learning
• Identification of Honeybees with Paint Codes Using Convolutional Neural Networks
• Conditional Vector Graphics Generation for Music Cover Images
• Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration
• Scale Learning in Scale-Equivariant Convolutional Networks
• Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition
• NeRF-Diffusion for 3D-Consistent Face Generation and Editing
• Enhanced Deepfake Detection Using Frequency Domain Upsampling
• Understanding Marker-Based Normalization for FLIM Networks
• Unsupervised Domain Adaptation for Human Pose Action Recognition
• High Precision Single Shot Object Detection in Automotive Scenarios
• CL-FedFR: Curriculum Learning for Federated Face Recognition
• Most Relevant Viewpoint of an Object: A View-Dependent 3D Saliency Approach
• Feature Selection Using Quantum Inspired Island Model Genetic Algorithm for Wheat Rust Disease Detection and Severity Estimation
• Machine Learning in Industrial Quality Control of Glass Bottle Prints
• Evaluating Multiple Combinations of Models and Encoders to Segment Clouds in Satellite Images
• SAM-Based Detection of Structural Anomalies in 3D Models for Preserving Cultural Heritage
• Optimization and Learning Rate Influence on Breast Cancer Image Classification
• FingerSeg: Highly-Efficient Dual-Resolution Architecture for Precise Finger-Level Semantic Segmentation
• Beyond Variational Models and Self-Similarity in Super-Resolution: Unfolding Models and Multi-Head Attention
• Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
• On Granularity Variation of Air Quality Index Vizualization from Sentinel-5
• Deformable Pose Network: A Multi-Stage Deformable Convolutional Network for 2D Hand Pose Estimation
• Feature Selection for Unsupervised Anomaly Detection and Localization Using Synthetic Defects
• Camera Self-Calibration from Two Views with a Common Direction
• An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion
• Multimodal Crowd Counting with Pix2Pix GANs
• On the Use of Visual Transformer for Image Complexity Assessment
• Two Nonlocal Variational Models for Retinex Image Decomposition
• Pair-GAN: A Three-Validated Generative Model from Single Pairs of Biomedical and Ground Truth Images
• Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks
• Colorectal Image Classification Using Randomized Neural Network Descriptors
• Image Edge Enhancement for Effective Image Classification
• Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral
• Fast and Reliable Inpainting for Real-Time Immersive Video Rendering
• XYZ Unsupervised Network: A Robust Image Dehazing Approach
• Multispectral Stereo-Image Fusion for 3D Hyperspectral Scene Reconstruction
• Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification
• Identifying Representative Images for Events Description Using Machine Learning
• Single-Class Instance Segmentation for Vectorization of Line Drawings
• EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation
• Learning Projection Patterns for Direct-Global Separation
• RecViT: Enhancing Vision Transformer with Top-Down Information Flow
• Combining Total Variation and Nonlocal Variational Models for Low-Light Image Enhancement
• Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems
• Analysis of Scattering Media by High-Frequency Polarized Light Projection Using Polarizing Projector
• Selection of Backbone for Feature Extraction with U-Net in Pancreas Segmentation
• A Computer Vision Approach to Compute Bubble Flow of Offshore Wells
• Robust Denoising and DenseNet Classification Framework for Plant Disease Detection
• FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling
• Image Inpainting on the Sketch-Pencil Domain with Vision Transformers
• Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models
• Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation
• Character Identification in Images Extracted from Portuguese Manuscript Historical Documents
• Training Methods for Regularizing Gradients on Multi-Task Image Restoration Problems
• Curriculum for Crowd Counting: Is It Worthy?
• Improving Low-Light Image Recognition Performance Based on Image-Adaptive Learnable Module
• Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks
• A Learning Paradigm for Interpretable Gradients
• Using Extended Light Sources for Relighting from a Small Number of Images
• Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models
• The Risk of Image Generator-Specific Traces in Synthetic Training Data
• Error Analysis of Aerial Image-Based Relative Object Position Estimation
• Transformer-Based Video Saliency Prediction with High Temporal Dimension Decoding
• Neural Style Transfer for Vector Graphics
• ELSA: Expanded Latent Space Autoencoder for Image Feature Extraction and Classification
• Frames Preprocessing Methods for Chromakey Classification in Video
• Vision-Perceptual Transformer Network for Semantic Scene Understanding
• Efficiency Optimization Strategies for Point Transformer Networks
• Avoiding Undesirable Solutions of Deep Blind Image Deconvolution
• Large Filter Low-Level Processing by Edge TPU
• Privacy Preservation in Image Classification Using Seam Doppelganger
• Instance Segmentation of Event Camera Streams in Outdoor Monitoring Scenarios
• A Generative Model for Guided Thermal Image Super-Resolution
• Simple Base Frame Guided Residual Network for RAW Burst Image Super-Resolution
• Generative Texture Super-Resolution via Differential Rendering
• SynthRSF: A Novel Photorealistic Synthetic Dataset for Adverse Weather Condition Denoising
• Teeth Localization and Lesion Segmentation in CBCT Images Using SpatialConfiguration-Net and U-Net
• A Comparative Analysis of the Three-Alternative Forced Choice Method and the Slider-Based Method in Subjective Experiments: A Case Study on Contrast Preference Task
• Assessing the Performance of Autoencoders for Particle Density Estimation in Acoustofluidic Medium: A Visual Analysis Approach
• Dense Light Field Imaging with Mixed Focus Camera
• SWViT-RRDB: Shifted Window Vision Transformer Integrating Residual in Residual Dense Block for Remote Sensing Super-Resolution
• Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior
• Iterative Saliency Enhancement over Superpixel Similarity
• RetailKLIP: Finetuning OpenCLIP Backbone Using Metric Learning on a Single GPU for Zero-Shot Retail Product Image Classification
• Estimation of Package-Boundary Confidence for Object Recognition in Rainbow-SKU Depalletizing Automation
• Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage
• Concept Basis Extraction for Latent Space Interpretation of Image Classifiers
• CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions
• Automated Brain Lobe Segmentation and Feature Extraction from Multiple Sclerosis Lesions Using Deep Learning
• Investigating Color Illusions from the Perspective of Computational Color Constancy
• SIDAR: Synthetic Image Dataset for Alignment & Restoration
• Towards Better Morphed Face Images Without Ghosting Artifacts
• Pre-Training and Fine-Tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-Variate Inpainting
• Word and Image Embeddings in Pill Recognition
• Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging
• SAMMI: Segment Anything Model for Malaria Identification
• Estimation of the Inference Quality of Machine Learning Models for Cutting Tools Inspection
• Probabilistic NeRF for 3D Shape Recovery in Scattered Medium
• Stereo-Event-Camera-Technique for Insect Monitoring
• CAVC: Cosine Attention Video Colorization
• Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods
• End-to-End Chess Recognition
• Deep Learning-Powered Assembly Step Classification for Intricate Machines
• Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation
• Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO
• Event-Based Semantic-Aided Motion Segmentation
• BEVSeg2TP: Surround View Camera Bird’s-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction
• Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances
• Multi-View 3D Reconstruction for Construction Site Monitoring
• Real-Time Detection and Mapping of Crowd Panic Emergencies
• A Multilevel Strategy to Improve People Tracking in a Real-World Scenario
• HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation
• Semantic Image Synthesis for Realistic Image Generation in Robotic Assisted Partial Nephrectomy
• Semantic State Estimation in Robot Cloth Manipulations Using Domain Adaptation from Human Demonstrations
• PanoTherm: Panoramic Thermal Imaging for Object Detection and Tracking
• BASE: Probably a Better Approach to Visual Multi-Object Tracking
• Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow
• Evaluation of 3D Point Cloud Distances: A Comparative Study in Multi-Point Cloud Fusion Environments
• Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study
• Physical Ergonomics Anticipation with Human Motion Prediction
• Toward Multi-Plane Image Reconstruction from a Casually Captured Focal Stack
• Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis
• World-Map Misalignment Detection for Visual Navigation Systems
• ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation
• Symmetry Completion Test: A Novel Approach for Visual Distortion Mapping and Correction Using Symmetry Constraints
• Learning 3D Human UV with Loose Clothing from Monocular Video
• Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study
• Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection
• Anisotropic Diffusion for Depth Estimation in Shape from Focus Systems
• Direct 3D Body Measurement Estimation from Sparse Landmarks
• Explainability and Interpretability for Media Forensic Methods: Illustrated on the Example of the Steganalysis Tool Stegdetect
• A Study of Real World Information Mapping for Information Sharing Using Edge Devices
• Visual Perception of Obstacles: Do Humans and Machines Focus on the Same Image Features?
• Robotics and Computer Vision in the Brazilian Electoral Context: A Case Study
• Reliability and Stability of Mean Opinion Score for Image Aesthetic Quality Assessment Obtained Through Crowdsourcing
• Enhanced Multimodal Timely Prediction of Pulmonary Fibrosis Progression with Uncertainty Estimation from Chest CT Images and Clinical Metadata
• Informative Rays Selection for Few-Shot Neural Radiance Fields
• Finding and Navigating to Humans in Complex Environments for Assistive Tasks
• Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
• Microplankton Discrimination in FlowCAM Images Using Deep Learning
• Detecting Anomalous 3D Point Clouds Using Pre-Trained Feature Extractors
• Multidimensional Compressed Sensing for Spectral Light Field Imaging
• Decoding Visual Stimuli and Visual Imagery Information from EEG Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network
• Attentive-YOLO: On-Site Water Pipeline Inspection Using Efficient Channel Attention and Reduced ELAN-Based YOLOv7
• Are Semi-Dense Detector-Free Methods Good at Matching Local Features?
• Defying Limits: Super-Resolution Refinement with Diffusion Guidance
• Automatic Assessment of Skill and Performance in Fencing Footwork
• Self-Mounted Motion Capture System Using Mutual Projection of Asynchronous Cameras
• A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions
• BEVFastLine: Single Shot Fast BEV Line Detection for Automated Parking Applications
• Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection
• Hand Mesh and Object Pose Reconstruction Using Cross Model Autoencoder
• Automatic Computation of the Posterior Nipple Line from Mammographies
• Fact-Checked Claim Detection in Videos Using a Multimodal Approach
• Coreset Based Medical Image Anomaly Detection and Segmentation
• Towards the Detection of Diffusion Model Deepfakes
• Deep Discriminative Feature Learning for Document Image Manipulation Detection
• Multi-View Inversion for 3D-aware Generative Adversarial Networks
• Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector
• Augmenting Human-Robot Collaboration Task by Human Hand Position Forecasting
• On Feasibility of Transferring Watermarks from Training Data to GAN-Generated Fingerprint Images
• Social Distancing Monitoring by Human Detection Through Bird’s-Eye View Technique
• Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat
• An Assistive Technology Based on Object Detection for Automated Task List Generation
• Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation
• Evaluating the Usability of a 3D Map Visualizer Augmented Reality Application
• Behind the Lens: Exploring UV Reflection
• Visual Insights in Human Cancer Mutational Patterns: Similarity-Based Cancer Classification Using Siamese Networks
• Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors
• Relationship Between Semantic Segmentation Model and Additional Features for 3D Point Clouds Obtained from on-Vehicle LIDAR
• Pedestrian's Gaze Object Detection in Traffic Scene
• Optical Illusion in Which Line Segments Continue to Grow or Shrink by Displaying Two Images Alternately
• Security, Privacy and the “Human Factor”: Making Sense of the Paradoxes of Security and Privacy Behaviour
• The Dance of Logic and Unpredictability: Examining the Predictability of User Behavior on Visual Analytics Tasks
• Automatic Error Correction of GPT-Based Robot Motion Generation by Partial Affordance of Tool
• Towards Value Awareness in the Medical Field
• Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation
• Prototyping a Low-Cost Flexible Sensor Glove for Diagnostics and Rehabilitation
• Feature Selection Improves Speech Based Parkinson's Disease Detection Performance
• Neuromotor Pattern of the Upper Limb in Hygiene Activities Using Electromyography and Accelerometery Technology
• Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications
• Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals
• Exploring the Design of Low-End Technology to Increase Patient Connectivity to Electronic Health Records
• Hôsea: A Touch Table for Cognitive and Motor Rehabilitation for the Elderly - A Preliminary Study
• Smart Home Privacy: A Scoping Review
• Deep Q-Networks for Imbalanced Multi-Class Malware Classification
• Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
• Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free
• Cycle-Accurate Virtual Prototyping with Multiplicity
• Lens Flare-Aware Detector in Autonomous Driving
• Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images
• AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning
• Between Gaming and Microclimate Simulations: Temperature Estimation of an Urban Area
• Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks
• The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications
• Characterization of Telemedicine Patients to Discover Patient Journeys Using Process Mining
• Automatic Viewpoint Selection for Interactive Motor Feedback Using Principal Component Analysis
• Assessment of the Detectability of Vulnerable Road Users: An Empirical Study
• High Throughput Neural Network for Network Intrusion Detection on FPGAs: An Algorithm-Architecture Interaction
• Enhancing Cybersecurity Through Comparative Analysis of Deep Learning Models for Anomaly Detection
• Anomaly Detection Methods for Finding Technosignatures
• Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models
• Outage Risks: It is not the Malicious Attacks that Take Down Your Service
• The Robustness of a Twisted Prisoner’s Dilemma for Incorporating Memory and Unlikeliness of Occurrence
• Algebraic Structure of Recursively Constructed References and Its Application to Knowledge Base
• Univariate GARCH Model for Futures Option Pricing: Application to Silver Mini Futures in Indian Commodity Market
• Painter Profile Clustering Using NLP Features
• Navigating Social Networks: A Hypergraph Approach to Influence Optimization
• On the Robustness of Correlation Network Models in Predicting the Safety of Bridges
• Assessing the Impact of Data Governance on Decision Making in Saudi Arabia
• Analytical Study on Typeface Visual Identification
• FaRS: A High-Performance Automorphism-Aware Algorithm for Graph Similarity Matching
• Evaluating the Multifactorial Effects on SARS-CoV-2 Spread in Tokyo Metropolitan Area with an Agent-Based Model
• Generative AI for Productivity in Industry and Education
• Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data
• Reverse Engineering of Classical-Quantum Programs
• Human-Centered e-Health Development: An Accessible Visual Modeling Tool
• Gamification of E-Learning Apps via Acceptance Requirements Analysis
• An Extensive Analysis of Data Clumps in UML Class Diagrams
• Conversational Assistants for Software Development: Integration, Traceability and Coordination
• Ensuring User Privacy in the Digital Age: A Quality-Centric Approach to Tracking and Data Protection
• An Integrated Visualization Approach Combining Dynamic Data-Flow Analysis with Symbolic Execution
• Scriptless Testing for an Industrial 3D Sandbox Game
• Applications Model: A High-Level Design Model for Rich Web-Based Applications
• Unsupervised Anomaly Detection in Continuous Integration Pipelines
• Decoding Code Quality: A Software Metric Analysis of Open-Source JavaScript Projects
• Transforming Data Lakes to Data Meshes Using Semantic Data Blueprints
• Combining Goal-Oriented and BPMN Modelling to Support Distributed Microservice Compositions
• A Conceptual Model for Data Warehousing
• Analyzing MQTT Attack Scenarios: A Systematic Formalization and TLC Model Checker Simulation
• CC-SolBMC: Condition Coverage Analysis for Smart Contracts Using Solidity Bounded Model Checker
• Steady-State Energy Consumption Evaluation in BaseBand Units Pool in Cloud Radio Access Network
• Embracing Unification: A Comprehensive Approach to Modern Test Case Prioritization
• Industrial Validation of a Neural Network Model Using the Novel MixTCP Tool
• ChatGPT as a Software Development Bot: A Project-Based Study
• UICVD: A Computer Vision UI Dataset for Training RPA Agents
• An Analysis of Privacy Issues and Policies of eHealth Apps
• Making Application Build Safer Through Static Analysis of Naming
• Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development
• IoTUseCase: A New Concept for the Modeling of Business Information Systems in the Age of IoT
• Towards a Goal-Oriented Approach for Engineering Digital Twins of Robotic Systems
• Review Time as Predictor for the Quality of Model Inspections
• Outlier Detection Through Connectivity-Based Outlier Factor for Software Defect Prediction
• Exploring the Impact of Dataset Accuracy on Machinery Functional Safety: Insights from an AI-Based Predictive Maintenance System
• Metrics to Estimate Model Comprehension: Towards a Reliable Quantification Framework
• Commit Classification into Maintenance Activities Using In-Context Learning Capabilities of Large Language Models
• Machine Learning-Enhanced Requirements Engineering: A Systematic Literature Review
• Enriching the Semantic Representation of the Source Code with Natural Language-Based Features from Comments for Improving the Performance of Software Defect Prediction
• Green Computing Adoption: Understanding the Role of Individual, Social, and Organizational Factors
• Security and SLA Monitoring for Cloud Services
• Influential Factors of Software Firms’ Performance in the Industry of Developing Countries
• 6DVF: A Framework for the Development and Evaluation of Mobile Data Visualisations
• A Monitoring Methodology and Framework to Partition Embedded Systems Requirements
• MPED-SCRUM: An Automated Decision-Making Framework Based Measurement for Managing Requirement Change Within the SCRUM Process
• Considerations in Prioritizing for Efficiently Refactoring the Data Clumps Model Smell: A Preliminary Study
• Security Testing of RESTful APIs with Test Case Mutation
• Towards Enhancing Mobile App Reviews: A Structured Approach to User Review Entry, Analysis and Verification
• Interpolation-Based Learning for Bounded Model Checking
• pyZtrategic: A Zipper-Based Embedding of Strategies and Attribute Grammars in Python
• Extract-Transform-Load Process for Recognizing Sentiment from User-Generated Text on Social Media
• Creating a Trajectory for Code Writing: Algorithmic Reasoning Tasks
• Automated Software Vulnerability Detection Using CodeBERT and Convolutional Neural Network
• An Evaluation of the Impact of End-to-End Query Optimization Strategies on Energy Consumption
• CodeGrapher: An Image Representation Method to Enhance Software Vulnerability Prediction
• CRAFTER: A Persona Generation Tool for Requirements Engineering
• Impact of Policies on Organizations Engaged in Partnership
• ODRL-Based Provisioning of Thing Artifacts for IoT Applications
• Reinforcement Learning for Multi-Objective Task Placement on Heterogeneous Architectures with Real-Time Constraints
• Metasurance: A Blockchain-Based Insurance Management Framework for Metaverse
• Towards a Web Application Attack Detection System Based on Network Traffic and Log Classification
• Expectation-Based Integration Testing of Unidirectional Interactions in Component-Based Software Systems
• Taxonomy of Governance Mechanisms for Trust Management In Smart Dynamic Ecosystems
• PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults
• Towards a SQL Injection Vulnerability Detector Based on Session Types
• On the Path to Buffer Overflow Detection by Model Checking the Stack of Binary Programs
• Review of Evaluations of Enterprise Architecture
• Prevalence and User Perception of Dark Patterns: A Case Study on E-Commerce Websites of Bangladesh
• Vector Based Modelling of Business Processes
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• Applications of Artificial Intelligence in Sustainability Assessment and Risk Management in European Banking
• Safeguarding Downside Risk in Portfolio Insurance: Navigating Swiss Stock Market Regimes with Options, Trading Signals, and Financial Products
• Applying Text Analytics Methodology to Analyze Project Reports
• Internal Audit: Friend or Foe of Innovation in an Organization: Case of Czech Banking Sector
• Stock Market Forecasting Using Machine Learning Models Through Volatility-Driven Trading Strategies
• The Impacts of Environmental Context on Technology Adoption and Their Invariance Analysis in Chinese Supply Chains
• The Recruiting Process as an Attractiveness Factor: How Do Companies Manage to Position Themselves Competitively as Employers?
• Modeling Organizational Culture, Transformational Leadership, Motivation, Job Satisfaction: Muhammadiyah Aisyiyah College’s Nursing Lecturer
• Developing a Framework for City Brand-Image Promotion via Social Media Communication
• Leveraging Multimodal Large Language Models and Natural Language Processing Techniques for Comprehensive ESG Risk Score Prediction
• Generative AI Risk Management in Digital Economy
• Research on Incentive Mechanism of Enterprise Personnel's Self-Determined Salary
• ChatGPT in Higher Education: A Risk Management Approach to Academic Integrity, Critical Thinking, and Workforce Readiness
• Graph Convolutional Networks for Image Classification: Comparing Approaches for Building Graphs from Images
• The Evolution of Original ERP Customization: A Systematic Literature Review of Technical Possibilities
• Making Hard(er) Benchmark Functions: Genetic Programming
• Information Extraction in the Legal Domain: Traditional Supervised Learning vs. ChatGPT
• Data-Driven Process Analysis of Logistics Systems: Implementation Process of a Knowledge-Based Approach
• The Power of Information Visualization for Understanding the Impact of Digital Media Projects
• A Performance Analysis for Efficient Schema Design in Cloud-Based Distributed Data Warehouses
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• Exploring Strategies to Mitigate Cold Start in Recommender Systems: A Systematic Literature Mapping
• Heterogeneous Data Integration: A Literature Scope Review
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• Generalizing Conditional Naive Bayes Model
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• Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining
• A Visual Analysis Approach to Static Postural Control Acquired by a Force Plate
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• Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents
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• Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models
• A Comprehensive Blockchain-Based Architecture for Healthcare Systems
• Artificial Intelligence in Sustainable Smart Cities: A Systematic Study on Applications, Benefits, Challenges, and Solutions
• Advanced AI-Based Solutions for Visual Inspection: A Systematic Literature Review
• Exploring Implementation Parameters of Gen AI in Companies
• X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence
• A Framework for Organisational Readiness Assessment in Digital Business Ecosystems Engagement
• An Evaluation of Pre-Trained Models for Feature Extraction in Image Classification
• Recommendation Systems: A Deep Learning Oriented Perspective
• Out of Sesame Street: A Study of Portuguese Legal Named Entity Recognition Through In-Context Learning
• Explainable Machine Learning for Alarm Prediction
• Optimizing Planning Strategies: A Machine Learning Forecasting Model for Energy Aggregators and Hydropower Producers
• Architecture for Stablecoins with Cross-Chain Interoperability
• Knowledge Graph Generation from Text Using Supervised Approach Supported by a Relation Metamodel: An Application in C2 Domain
• Enhancement of the Online Presence of Small and Medium Sized Enterprises with Minimum Impact on Traditional Business Activities in Towns and Cities
• Optimizing Natural Language Processing Applications for Sentiment Analysis
• multiBERT: A Classifier for Sponsored Social Media Content
• Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability
• APOENA: Towards a Cloud Dimensioning Approach for Executing SQL-like Workloads Using Machine Learning and Provenance
• Exploring Popular Software Repositories: A Study on Sentiment Analysis and Commit Clustering
• A Systematic Mapping on Software Aging and Rejuvenation Prediction Models in Edge, Fog and Cloud Architectures
• A Machine Learning Workflow to Address Credit Default Prediction
• Identification and Attribution of Access Roles Using Hierarchical Team Permission Analysis
• An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice
• A Regression Deep Learning Approach for Fashion Compatibility
• Deepbrokenhighways: Road Damage Recognition System Using Convolutional Neural Networks
• Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation
• Machine Learning Support for Time-Efficient Processing Dangerous Driving Detection Using Vehicle Inertial Data
• Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data
• Towards Collective Superintelligence: Amplifying Group IQ Using Conversational Swarms
• Toward Air Quality Fuzzy Classification
• CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data
• A Hybrid Framework for Resource-Efficient Query Processing by Effective Utilization of Existing Resources
• Knowledge-Based Systems for Strengthening African Health Systems
• Explainable Business Intelligence for Video Analytics in Retail
• A Fuzzy-Genetic Multi-Objective Optimization Method Applied to Deployment of Routers in Agricultural Crop Areas
• SpectraNet: A Neural Network for Soybean Contents Prediction
• My Database User Is a Large Language Model
• Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem
• From Tracking Lineage to Enhancing Data Quality and Auditing: Adding Provenance Support to Data Warehouses with ProvETL
• Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment
• The Power of Gyroscope Data: Advancing Human Movement Analysis for Walking and Running Activities
• Designing and Building a Low-Cost IoT Solution for Natural Disaster Monitoring and Mitigation: An Experience Report
• Bridging Human and AI Decision-Making with LLMs: The RAGADA Approach
• A Methodology for Constructing Patterns for the Management of Data Science Projects
• Using Soft Computing and Computer Vision to Create and Control an Integrated Autonomous Robotic Manipulator Process
• The Future of Oil and Gas Offloading: Leveraging Blockchain for Enhanced Transparency and Efficiency
• An Information System for Training Assessment in Sports Analytics
• A Unified Teaching Platform for (No)SQL Databases
• Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images
• A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images
• Coping with Artificial Intelligence Ethical Dilemma and Ethical Position Choices?
• Building Damage Segmentation After Natural Disasters in Satellite Imagery with Mathematical Morphology and Convolutional Neural Networks
• Glaucoma Detection Using Transfer Learning with the Faster R-CNN Model and a ResNet-50-FPN Backbone
• On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges
• Use of Custom Videogame Dataset and YOLO Model for Accurate Handgun Detection in Real-Time Video Security Applications
• Empowering Multidimensional Machine Learning over Cloud- Enabled Big Data Infrastructures with ClustCube
• Implementation of Composable Enterprise in an Evolutionary Way Through Holistic Business-IT Delivery of Business Initiatives: Real Industry Use Case
• Hydrocyclone Operational Condition Detection: Conceptual Prototype with Edge AI
• Studying Trustworthiness of Neural-Symbolic Models for Enterprise Model Classification via Post-Hoc Explanation
• Integrated Data Repository System: Fusion, Learning and Sharing
• A New Product’s Demand Forecasting Using Artificial Neural Network
• Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems: Microsoft Entra ID Administration Agent (MEAN)
• An Extension of Orbslam for Mobile Robot Using Lidar and Monocular Camera Data for SLAM Without Odometry
• Generation of Breaking News Contents Using Large Language Models and Search Engine Optimization
• Optical Character Recognition Based-On System for Automated Software Testing
• Datasets on Mobile App Metadata and Interface Components to Support Data-Driven App Design
• Professional Insights into Benefits and Limitations of Implementing MLOps Principles
• RAMOM: A Reference Architecture for Manufacturing Operations Management Activities in Industry 4.0
• Greener Information Systems for Product Configuration Management: Towards Adaptation to Sustainability Requirements
• An Architecture Framework for Higher Education
• Industry 4.0: Wearable IoT Device Applied to Warehouse Management
• CarbonSECO for Livestock: A Service Suite to Help in Carbon Emission Decisions
• Data Quality Assessment for the Textile and Clothing Value-Chain Digital Product Passport
• Towards an Eco-Gamification Platform to Engage Consumers in the Textile & Clothing Circular Economy
• A Distributed Processing Architecture for Disease Spread Analysis in the PDSA-RS Platform
• Operator Fatigue Detection via Analysis of Physiological Indicators Estimated Using Computer Vision
• Challenges in Reverse Engineering of C++ to UML
• Forecasting of Key Performance Indicators Based on Transformer Model
• Data Discovery and Indexing for Semi-Structured Scientific Data
• Challenges of Trustworthy of Digital Evidence and Its Chain of Custody on Cloud Computing Environment: A Systematic Review
• Development of a Ship Mooring Inspection Winch Tool with Extended Reality
• Exploring the Pros and Cons of Monolithic Applications versus Microservices
• A Rule-Based Log Analysis Approach for State-Machine Governed Systems
• Can Personality Types Be Blamed for Code Smells?
• Business Process Improvements in Hierarchical Organizations: A Case Study Focusing on Collaboration and Creativity
• Redefining Data Governance: Insights from the French University System
• Towards Legal Interoperability in International Data Spaces
• Six Board Roles for Information Security Governance
• Validation and Refinement of Usability Heuristics for Interactive Web Maps
• Process and Challenges in Designing Data Registration via File Import in an Administrative e-Commerce System
• Validation and Clarification of Critical Success Factors of DevOps Processes
• Ontology to Define Sizing Screw Joints for Mechanical Engineering Applications
• Effective People Management Practices for Software Project Success
• The Influences of Employees' Emotions on Their Cyber Security Protection Motivation Behaviour: A Theoretical Framework
• Investigating Entry-Level Software Project Managers’ Skills and Responsibilities: An Empirical Analysis of LinkedIn Job Ads
• A Method for Marketing and Sales Optimization of Enterprise Software Applications
• Enabling Sustainability Due Diligence in Value Chains Through DLT-Based Governance
• Evaluating the Acceptance and Quality of a Usability and UX Evaluation Technology Created for the Multi-Touch Context
• Modernization of Legacy Systems to Microservice Architecture: A Tertiary Study
• On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering
• Project Management in Large-Scale with International Settings: Challenges Faced with Multiculturalism
• Validating a Practical Method for Planning Co-Evolution of Business and IT in a Public Sector Organisation
• Micro Frontend-Based Development: Concepts, Motivations, Implementation Principles, and an Experience Report
• Exploring Interaction Mechanisms and Perceived Realism in Different Virtual Reality Shopping Setups
• Understanding the Interplay Between Startups and Accelerators for Early-Stage Resource Mobilization
• Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible
• Crafting a Journey into the past with a Tangible Timeline Game: Net Als Toen as a Tool to Enhance Reminiscence in Elderly with Alzheimer's Disease
• Enhancing Scientific Communication: Prioritizing User Experience in Audiovisual Interfaces
• Challenges in Metaverse Adoption on People, Process, and Technology Perspectives: A Review from the Five past Years
• AI Technology Adoption & Sustainability Improvement Though Cloud Solutions
• Towards a Link Mapping and Evaluation Approach for Core Operational Business-IT Alignment
• Balancing Autonomy and Control: An Adaptive Approach for Security Governance in Large-Scale Agile Development
• Deep Convolutional Neural Network and Character Level Embedding for DGA Detection
• Exploring Usability and User Experience Evaluation Methods: A Tertiary Study
• Guiding the Adoption of UX Research Practices: An Approach to Support Software Professionals
• The Role of Digital Artifacts in Fostering Ecosystem Creation
• Can a Chatbot Support Exploratory Software Testing? Preliminary Results
• Carbon-Aware Process Execution for Green Business Process Management
• Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies
• Usability and User Experience Questionnaire Evaluation and Evolution for Touchable Holography
• Supporting User-Centered Requirements Elicitation from Lean Personas: A UX Data Visualization-Based Approach
• Testing on Dynamically Adaptive Systems: Challenges and Trends
• Speeding Up the Simulation Animals Diseases Spread: A Study Case on R and Python Performance in PDSA-RS Platform
• The Usability of Persistent and non-Persistent Headers on Web Pages
• An Architectural Viewpoint for Managing BizDevOps Software Projects
• Prediction of the Employee Turnover Intention Using Decision Trees
• Managing Adverse Commentary on Social Media: A Case Study of an Australian Health Organisation
• Model-Based Auto-Commissioning of Building Control Systems
• Virtual Reality-Based Adapted Handball Serious Game for Upper Limb Rehabilitation in Spinal Cord Injured Patients
• Design Analysis of Smart Water Meters: An Open Design Approach
• Conformance Checking on Timed Automaton Process Models
• A Formal Execution Semantics for Sophisticated Dynamic Jumps Within Business Processes
• Enterprise Architecture Governance of Excellence
• An Enterprise Architecture Approach to Semantic Blockchain Interoperability
• Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring
• Anxiety and EEG Frontal Theta-Beta Ratio Relationship Analysis Across Personality Traits During HDR Affective Videos Experience
• Health Scores for Generating Health-Respecting Shift Plans by Means of an Expert System from the Perspective of Care Organisations
• Enhancing Predictive Modeling in Emergency Departments
• How Can Open Educational Resources Promote Equity in Education?
• A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires
• Outside the Box: Exploring Determinants for Participation in a Digitally Enhanced Remote Museum Visit for Older Adults
• A Falls Risk Screening Tool Based on Millimetre-Wave Radar
• Improving the Digital Literacy and Social Participation of Older Adults: An Inclusive Platform that Fosters Intergenerational Learning
• Developing a Structural Standard for Smart Contract Electronic Health Records Based on the HL7 Fast Healthcare Interoperability Resources
• Missing Data Imputation in Daily Wearable Data for Improved Classification Performance
• Incorporating Cognitive Training with Elderly People’s Everyday Use of Smartphones
• Advantages and Challenges of Using AI for People with Disabilities
• Adoption of Digital Health Technologies in Supported Living Services
• A Tailored Internet of Things Lighting Solution to Support Circadian Rhythms and Wellbeing for People Living with Dementia
• Hidden Roles of Students and Digital Health Applications in the Field of Mental Health: A Study Protocol for a Prospective Study on Hidden Social Roles with Focus on Informal Relatives, Mental Health, Sleep, and Digital Health Applications
• Real-Time CNN Based Facial Emotion Recognition Model for a Mobile Serious Game
• A Regression Based Approach for Leishmaniasis Outbreak Detection
• Design of BCI-Based Exoskeleton System for Knee Rehabilitation
• Applying Multiple Instance Learning for Breast Cancer Lesion Detection in Mammography Images
• hospOS: A Platform for Service Robot Orchestration in Hospitals
• Recommendations for Designing Information for People with Dementia: Protocol for a Scoping Review
• Improving Accessibility with Gamification Strategies: Development of a Prototype App
• Contactless Physiology Radars to Promote Healthy Ageing via Remote Tracking: The Need for IoT Context
• Towards the Standardization of Disease Registry Form Structure
• Integrating Virtual Reality in Cognitive Training of Older Adults Without Cognitive Impairment: A Systematic Review of Randomized Controlled Trials
• Contextualizing Syntactic Interoperability Data Standards for Health Information Exchange in Uganda's Public Healthcare System
• Conceptualizing the Active Ageing Index (AAI): A Systematic Literature Review of Frameworks and Supporting Digital Tools
• Advancements in the Understanding of What Wellbeing at Very Old Age Is: An Exploratory Study
• New Insights into the end-User Requirements for Remote Monitoring for Aging at Home Contributions to the Third Digital Divide
• A Novel Approach in Testing Life-Monitoring Technologies for Ageing in Place: A Focus on Fall Detection and Behavioural Alerts
• Insights from Co-Design of Underwater Telepresence and Extended Reality Technologies with Digitally Excluded Older Adults
• HOMEFUS: A Privacy and Security-Aware Model for IoT Data Fusion in Smart Connected Homes
• A Systematic Mapping Study on Techniques for Generating Test Cases from Requirements
• A Systematic Mapping Study in Security Software Testing for Mobile Devices
• IoTective: Automated Penetration Testing for Smart Home Environments
• Automation of Smart Homes with Multiple Rule Sources
• Advancements in Household Data Mining: Fine-Tuning of Usage Pattern Inference Pipeline
• Data Sets for Cyber Security Machine Learning Models: A Methodological Approach
• Credential Lifecycle Analysis in Private LoRaWAN Networks for Industrial IoT (IIoT)
• Context Data Compact Prediction Tree (CD-CPT): Transforming User Experience Through Predictive Analysis
• How Is Starlink Manoeuvring? An Analysis of Patterns in the Manoeuvres of Starlink Satellites
• Hybrid Statistical Modeling for Anomaly Detection in Multi-Key Stores Based on Access Patterns
• IndraFlow: Seamless Data Transfer and Transformation Between Internet of Things, Robot Systems and Cloud-Native Environments
• Need for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices
• Revolutionizing Vehicle Damage Inspection: A Deep Learning Approach for Automated Detection and Classification
• Tile Quality Detection Device: Internet of Things (IoT) Demonstration Prototype
• Towards a Write once Run Anywhere Approach in End-User IoT Development
• A Framework Addressing Challenges in Cybersecurity Testing of IoT Ecosystems and Components
• Sample-Based Cardinality Estimation in Full Outer Join Queries
• Interoperable Access and Usage Control of Self-Sovereign Digital Twins Using ODRL and I4.0 Language
• Navigating the CRA: A Brief Analysis of European Cyber Resilience Act and Resulting Actions for Product Development
• Lite4More: A Hardware and Software Solution to Improve the Commissioning of Lighting Infrastructures
• UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes
• Secure Decentralized Carpooling Application Using Blockchain and Zero Knowledge Proof
• An Intrusion Detection Architecture Based on the Energy Consumption of Sensors Against Energy Depletion Attacks in LoRaWAN
• Classification and Prediction of Hypoglycemia in Patients with Type 2 Diabetes Mellitus Using Data from the EHR and Patient Context
• XA4AS: Adaptive Security for Multi-Stage Attacks
• Ransomware Reconnaissance: Interrogating Certificates Towards Proactive Threat Mitigation
• Decentralized Ransomware Recovery Network: Enhancing Resilience and Security Through Secret Sharing Schemes
• Industrial Internet of Things for Assembly Line Worker’s Work Fatigue Recognition
• Comparing On-Premise IoT Platforms: Empowering University of Things Ecosystems with Effective Device Management
• Privacy Sensitive Building Monitoring Through Generative Sensors
• Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars
• Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches
• Low-Performance Embedded Internet of Things Devices and the Need for Hardware-Accelerated Post-Quantum Cryptography
• Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System
• Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods
• Architectures of Contemporary Information Systems and Legal/Regulatory Environment
• Business Intelligence Reporting by Linguistic Summaries for Smart Cities: A Case on Explaining Bicycle Sharing Patterns
• A Hybridized Scheme for Solving Ridesharing Problems Based on Firefly Algorithm and a Variant of PSO Algorithm
• Generation of H&E-Stained Histopathological Images Conditioned on Ki67 Index Using StyleGAN Model
• Teaching Practice Using ChatGPT in Higher Education
• Squeezing the Lemon: Using Accident Analysis for Recommendations to Improve the Resilience of Telecommunications Organizations
• Understanding the Factors Influencing Self-Managed Enterprises of Crowdworkers: A Comprehensive Review
• Indescribably Blue: Bluetooth Low Energy Threat Landscape
• Extending PriPoCoG: A Privacy Policy Editor for GDPR-Compliant Privacy Policies
• Can a Simple Approach Perform Better for Cross-Project Defect Prediction?
• Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints
• Combining Clustering Algorithms to Extract Symmetric Clusters from Noisy Data, Applied to Parking Lots
• Connecting Issue Tracking Systems and Continuous Integration / Continuous Delivery Platforms for Improving Log Analysis: A Tool Support
• Energy and Cost-Aware Real-Time Task Scheduling with Deadline-Constraints in Fog Computing Environments
• State-Aware Application Placement in Mobile Edge Clouds
• ALASCA: Function-Driven Advanced Access Control for Big Cold Data
• On Detecting Malicious Code Injection by Monitoring Multi-Level Container Activities
• Feather: Lightweight Container Alternatives for Deploying Workloads in the Edge
• Value for Money: An Experimental Comparison of Cloud Pricing and Performance
• Pruning Modes for Deployment Models: From Manual Modeling to Automated Removal of Elements and Their Implications
• Task Offloading in Edge-Cloud Computing Using a Q-Learning Algorithm
• Creek: Leveraging Serverless for Online Machine Learning on Streaming Data
• Service Weaver: A Promising Direction for Cloud-Native Systems?
• Tail-Latency Aware and Resource-Efficient Bin Pack Autoscaling for Distributed Event Queues
• IoT Devices Overhead: A Simulation Study of eHealth Solutions over a Hospitals’ Network
• Enhancing SPIFFE/SPIRE Environment with a Nested Security Token Model
• Visualizing the Information Security Maturity Level of Public Cloud Services Used by Public Administrations
• Model-Driven End-to-End Resolution of Security Smells in Microservice Architectures
• Hosting-Aware Pruning of Components in Deployment Models
• Balancing Performance and Aging in Cloud Environments
• CacheFlow: Enhancing Data Flow Efficiency in Serverless Computing by Local Caching
• Towards a General Metric for Energy Efficiency in Cloud Computing Data Centres: A Proposal for Extending of the ISO/IEC 30134-4
• Don't Train, Just Prompt: Towards a Prompt Engineering Approach for a More Generative Container Orchestration Management
• Responsible Information Sharing in the Era of Big Data Analytics Facilitating Digital Economy Through the Use of Blockchain Technology and Observing GDPR
• Optimizing Service Placement in Edge-to-Cloud AR/VR Systems Using a Multi-Objective Genetic Algorithm
• Benefits of Dynamic Computational Offloading for Mobile Devices
• On Maintainability and Microservice Dependencies: How Do Changes Propagate?
• Towards Image-Based Network Traffic Pattern Detection for DDoS Attacks in Cloud Computing Environments: A Comparative Study
• Improving Edge-AI Image Classification Through the Use of Better Building Blocks
• Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
• A Logic Programming Approach to VM Placement
• Systematic Threat Modelling of High-Performance Computing Systems: The V:HPCCRI Case Study
• Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service
• Integrating Secure Multiparty Computation into Data Spaces
• Lapse: Latency & Power-Aware Placement of Data Stream Applications on Edge Computing
• Load-Aware Container Orchestration on Kubernetes Clusters
• Towards a Cloud-Based Smart Office Solution for Shared Workplace Individualization
• Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0
• Prediction of Resource Utilisation in Cloud Computing Using Machine Learning
• A Community-Based Support Scheme to Promote Learning Mobility: Practices in Higher Education in Southeast Asia and Japan
• High-Fidelity Simulation Pre-Briefing with Digital Quizzes: Using INACSL Standards for Improving Effectiveness
• Designing Stemie, the Evolution of the Kid Grígora Educational Robot
• A Pipeline for the Automatic Evaluation of Dental Surgery Gestures in Preclinical Training from Captured Motions
• Brick by Brick: Exploring the Influence of LEGO SERIOUS PLAY on Master's Students' Digital Transformation Proposals
• Building Suitable Observation Points to Enhance the Learner’s Perception of Information in Virtual Environment for Gesture Learning
• Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers
• Developing Design Principles for Computational Thinking Learning Environments: Pathways into Practice with Physical Computing
• OER-Enabled Pedagogy with Multipurpose Digital LMS-Quiz-Activities for Mathematics
• EduColl: A Collaborative Design Approach Based on Conflict Resolution for the Assessment of Learning Resources
• Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA
• Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education
• Unveiling the Potential: Assessing the Role of SSI Wallets in Promoting Sustainability in Federated Learning Environments
• Disability Racer: A Digital Game for Raising Awareness of Ophthalmological: Related Issues
• Ad-Hoc Assessment for Microlearning Units in Competency-Based Learning Paths in Learning Management Systems
• Graphical Recognition of Antiderivatives: Analysis of Different Strategies Reflecting Level of Expertise Using Eye-Tracker Tool
• Exploring the Significance of 360-Degree Video Technology on Fieldwork Learning in Higher Education: Students' Perspectives
• Innovation or Imitation? A Critical Analysis of AI-Authored vs. Human-Authored Scientific Papers
• Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study
• Decoding the Gap: A Retrospective Analysis of Women’s Experiences in Software Engineering
• Enhancing Participation Through Inquiry Learning and Citizen Science: Science for Everyone
• Metaverse4Deaf: Assistive Technology for Inclusion of People with Hearing Impairment in Distance Education Through a Metaverse-Based Environment
• Demonstration Experiment of Decentralized Learning Within Traditional Decentralized Education
• Effects of Information Granularity on Health Education: An Artificial Intelligence-Based Situational R-Map Analysis
• Teachers’ Perception of AI and Their Attitudes Towards AI
• A Proposal for Assessing Digital Maturity in French Primary Education: Design of Tools and Methods
• Using the Open Source Collaborative Model for Digital Educational Content
• Mathkinetics: Solving Arithmetics While Running out of Breath
• Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design
• PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics
• Sustainable Learning Analytics: Measuring and Understanding the Drivers of Energy Consumption of AI in Education
• Towards LLM-Based Autograding for Short Textual Answers
• Validity Claims in Children-AI Discourse: Experiment with ChatGPT
• Exploring the Impact of Covid-19 Pandemic on the Online Learning Experience of Higher Education Students in Morocco
• Implementing Learning Analytic Systems in Educational Institutions: The Importance of Transparent Information for User Acceptance
• Requirements for an Online Integrated Development Environment for Automated Programming Assessment Systems
• Humour in Educational Robots: Investigating the Effects of Humour in a Robot-Led Scrumban Simulation in Business Education
• Bridging Skills and Scenarios: Initial Steps Towards Using Faded Worked Examples as Personalized Exercises in Vocational Education
• Analysis of Student-Problems While Working with Physical Computing Devices
• ImGame: An Immersive Educational Environment to Teach Contemporary Art
• Tangible or Digital? A Comparison Between Two Tools for Designing Asymmetric Role-Playing Games for Learning
• Virtual3R: A Virtual Collaborative Platform for Animal Experimentation
• Perceptions of Entrepreneurship Among Graduate Students: Challenges, Opportunities, and Cultural Biases
• The Role of Privacy and Security Concerns and Trust in Online Teaching: Experiences of Higher Education Students in the Kingdom of Saudi Arabia
• Navigating Educational Frontiers in the AI Era: A Teacher’s Autoethnography on AI-Infused Education
• TransLaboration: An Online Collaborative Learning Environment with Socially Shared Regulation Prompts in Translation Classroom
• Aesthetics as a Decisive and Motivational Factor for Online Training
• Broaden Your Horizon! Play with Semantics via a Knowledge Graph-Based Approach
• Spread the Word! BaLex, A Gamified Lexical Database for Collaborative Vocabulary Learning
• Interactive Math Explorations Using the Game-Based Application MatematiX
• Peephole Technology for Mobile Collaborative Learning: An In- Classroom Exploratory Study
• Teaching Assistants as Assessors: An Experience Based Narrative
• Piloting Case Studies of Technology-Enhanced Innovative Pedagogies in Four European Higher Education Institutions
• Let’s Choose STEM: An Overview on Study Program Guiding Online Self-Assessments and Future Directions
• Play Testing and Reflective Learning AI Tool for Creative Media Courses
• Shorter Texts, Less Scrolling, More Visual Support for Younger Learners: Low-Threshold GDPR Conform Registration Form with Double Opt-In for the Learning Management System Moodle
• Expanding Code Assessment: A Qualitative Feedback System for Beginning Students
• A Framework for Intelligent Virtual Reality Tutoring System Using Semantic Web Technology
• AI-Enabled Art Education: Unleashing Creative Potential and Exploring Co-Creation Frontiers
• Using Trace Clustering to Group Learning Scenarios: An Adaptation of FSS-Encoding to Moodle Logs Use Case
• Analysing Learner Strategies in Programming Using Clickstream Data
• On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends
• AI-Powered Personalised Learning Platforms for EFL Learning: Preliminary Results
• The Perceived Learning Behaviors and Assessment Techniques of First-Year Students in Computer Science: An Empirical Study
• Empowering Students: A Reflective Learning Analytics Approach to Enhance Academic Performance
• About the Quality of a Course Recommender System as Perceived by Students
• A Code Distance Approach to Measure Originality in Computer Programming
• The Use of Self-Regulation of Learning in Recommender Systems: State-of-the-Art and Research Opportunities
• Towards an Online Incremental Approach to Predict Students Performance
• Shaping an Adaptive Path on Analytic Geometry with Automatic Formative Assessment and Interactive Feedback
• Investigating the Impact of Code Generation Tools (ChatGPT & Github CoPilot) on Programming Education
• Adaptation in Learning Analytics Dashboards: A Systematic Review
• Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data
• Content and Skills for Teaching BPM in Computer Science Courses: A Systematic Mapping Study
• Detecting Speech Disfluencies Using Open-Source Tools in Automatic Feedback Systems for Oral Presentation Training
• Shifting from Traditional to Alternative Assessment Methods in Higher Education: A Case Study of Norwegian and Italian Universities
• On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
• User Story Tutor (UST) to Support Agile Software Developers
• Weakly Supervised Short Text Classification for Characterising Video Segments
• Computer Science Attitude as a Descriptor to Understand Inclusion in Non-Conventional Learning Experiences
• Application of Minecraft: Education in Mathematics and CMIT Classes, Examples and Practices
• Gamifying Environmental Education: A Primary School Perspective Through a Serious Game
• AI Literacy for Cultural and Design Studies
• Mining Sequential Patterns in Classroom Discourse: Insights from Visualization-Supported Primary Instruction
• Digital Citizenship Exercises
• Impact of Team Formation Type on Students' Performance in PBL-Based Software Engineering Education
• AI-Generated Programming Solutions: Impacts on Academic Integrity and Good Practices
• Learning-Support Method for Professional Shogi Players Using Emotions of Others
• Influence of Students’ Choice of Examination Format on Examination Results
• Systematization of Competence Assessment in Higher Education: Methods and Instruments
• Facilitating Competence-Oriented Qualification in New Work: Evaluation of a Platform Prototype
• Large Language Models in Civic Education on the Supervision and Risk Assessment of Public Works
• Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments
• Student Perspectives on Ethical Academic Writing with ChatGPT: An Empirical Study in Higher Education
• Learner Models: A Systematic Literature Research in Norms and Standards
• Opportunities and Challenges of AI to Support Student Assessment in Computing Education: A Systematic Literature Review
• An Approach Based on Learning by Teaching to Support the Vertical Alignment of the Educational Robotics Curriculum
• Addressing Educational Disparities: Assessing the Gap for Indigenous Community
• Using the Robot-Assisted Attention-Engagement-Error-Feedback- Reflection (AEER) Pedagogical Design to Develop Machine Learning Concepts and Facilitate Reflection on Learning-to-Learn Skills: Evaluation of an Empirical Study in Hong Kong Primary Schools
• A Proposed TPACK Model of Teaching STEM with AI Components: Evaluating a Teacher Development Course for Fostering Digital Creativity
• Teaching Conscious Capitalism in Higher Education: Learning Experience and Paradigm Shift
• Formation of Study Groups: Exploring Students’ Needs and Practical Challenges
• Leveraging NLP and Machine Learning for English (L1) Writing Assessment in Developmental Education
• Development of an Instrument for Evaluating Learning Experiences in a Hybrid Learning Environment
• Examining the Utilization of Artificial Intelligence Tools by Students in Software Engineering Projects
• Can Diversity, Equity, and Inclusion (DEI) Espouse Through Social Constructivism? A Dynamically-Designed Multimedia Content Creation Programme for High School Students in Japan
• What Will I Need this for Later? Towards a Platform for the Discovery of Intra and Inter-Module Content Relations
• Programming Contests as Complementary Activities in University Programming Courses
• From Theory to Training: Exploring Teachers' Attitudes Towards Artificial Intelligence in Education
• A Learning Analytics Dashboard for Improved Learning Outcomes and Diversity in Programming Classes
• Creating an Academic Prometheus in Brazil: Weaving Check50, Autolab and MOSS into a Unified Autograder
• A Proposal for an Educational Well-Being Index (EWI) for Undergraduate Course Design
• Hybrid and Formative Self and Cross Peer Review Process to Support Computational and Algorithmic Thinking
• STEAM Teachers' Perceptions of Artificial Intelligence in Education: Preliminary Research
• Quiz-Ifying Education: Exploring the Power of Virtual Assistants
• Designing a Framework to Support the Teaching of Programming Basics to Large Numbers of Novices
• Informal Learning Opportunities: Neurodiversity, Self-Efficacy, Motivation for Programming Interest
• Dispositional Learning Analytics to Investigate Students Use of Learning Strategies
• Sound Woods: An Interactive Game-Based Learning Design for Inclusive Play Between Sighted and Visually Impaired Users
• The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students
• Where Is the Evidence? A Plugin for Auditing Moodle’s Learning Analytics
• Storytelling as a Pedagogical Tool in Computer Science Education: A Case Study on Software Systems Verification and Validation
• Position Paper: Foster Academic Integration for Improved Pass Rates in First-Year Units
• Design of Interactive STACK Exercises Using JSXGraph for Online Course: Exploring Strategies for Supporting Students with Mathematical Challenges
• How Gender Influences the Effect of Self-Efficacy on Training Success on a Mobile Curriculum
• Evaluating the Impact of Generative Adversarial Network in Android Malware Detection
• Afpatoo: Tool to Automate Function Point Analysis Based on UML Class and Sequence Diagrams
• Software Defect Prediction Using Integrated Logistic Regression and Fractional Chaotic Grey Wolf Optimizer
• Unlocking Adaptive User Experience with Generative AI
• Prediction of Turbidity and TDS in Dam Reservoir from Multispectral UAV-Drone and Sentinel-2 Image Sensors Using Machine Learning Models
• Derivation of Critical Infrastructure Accessibility Index Using GIS-MCDA and Network Analysis: Case Study of Sarajevo
• A Water-Energy-Food Nexus Approach to Assess Land Use Trade-Offs in Small Islands
• Revitalizing Walkability Scores: A New Assessment Based on Accessibility
• Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates
• Dynamic Exposure Visualization of Air Quality Data with Augmented Reality
• Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning
• Regime Analysis with Numerical Modelling of Wave Dynamics and Determination of Potential Flood Zones in Chancay Bay, Peru
• Mapping Habitats by Integrating Multi-Source Land Use Land Cover Databases: Application to Red Fox in Urban Area
• Geodetic Fundamentals in the Development of a Voxel Model for the Subsoil of the City of Sevilla (Spain)
• Studying Seismic Events via Satellite Interferometry for the Territory of the Balkan Peninsula
• The Contribution of Drones to the Monitoring of Rubble-Mound Breakwaters
• Evaluating the Urban Parks Cooling Extent Using Satellite Observations: An Alternative Approach
• Semantic Segmentation of Paddy Parcels Using Deep Neural Networks Based on DeepLabV3
• Assessment of Census and Remote Sensing Data to Monitor Irrigated Agriculture in Mexico
• UAV-Based Analysis of Armour Rock Granulometry and Hydraulic Stability
• Semantic Segmentation of Crops via Hyperspectral PRISMA Satellite Images
• Assessing the Risks of Enhancing the Current Europe’s ADA Web Map with Ground Movement Classification Data
• Improved Analysis of EGMS Data for Displacement Monitoring: The Case Study of Regina Montis Regalis Basilica in Vicoforte, Italy
• What Will Virtual Reality Bring to the Qualification of Visual Walkability in Cities?
• Estimation of Height of Building Using High Resolution Satellite Image
• An Augmented Reality System Architecture for Flood Management
• Production-Ready End-to-End Visual Quality Inspection for Defect Detection on Surfaces Based on a Multi-Stage AI System
• Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape
• Multimodal Deepfake Detection for Short Videos
• Using Deep Learning for the Dynamic Evaluation of Road Marking Features from Laser Imaging
• HERO-GPT: Zero-Shot Conversational Assistance in Industrial Domains Exploiting Large Language Models
• Leveraging Temporal Context in Human Pose Estimation: A Survey
• Belfort Birth Records Transcription: Preprocessing, and Structured Data Generation
• Fitting Tree Model with CNN and Geodesics to Track Blood Vessels in 2D Medical Images and Application to Ultrasound Localization Microscopy Data
• Chaotic Convolutional Long Short-Term Memory Network for Respiratory Motion Prediction
• On the Exploitation of DCT Statistics for Cropping Detectors
• Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting
• AI-Powered Urban Mobility Analysis for Advanced Traffic Flow Forecasting
• Pareto-Optimal Execution of Parallel Applications with Respect to Time and Energy
• Automatic Identification and Classification of Map-Matching Anomalies in Cycling Routes
• Modeling the Operation of Traction Power Systems Incorporating Wind Turbines
• Customizing Trust Systems: Personalized Communication to Address AI Adoption in Smart Cities
• Integrating Legal Considerations into Model-Based Cyber-Physical-Systems Development
• NILM-Based Solutions for the Automation of Energy Services in Residential Buildings
• Assessing the Suitability of Architectural Models for Generating Smart Grid Co-Simulations
• Examining the Impact of Weather, Temporal Factors, and User Traits on Multimodal Shared Micromobility Systems in Non-Urban Campus Environments: The MORE Sharing Case Study
• Autonomous Driving Validation and Verification Using Digital Twins
• Bayesian Network for Analysis and Prediction of Traffic Congestion Using the Accident Data
• Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection
• Performance Metric for Horn and Brake Automation on Mainline Trains
• Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm
• Protocol Interoperability for Intelligent Transportation Systems
• Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling
• Performance Evaluation of a ROS2 Based Automated Driving System
• Real-Time Lane Departure Detection Using Google Routes
• Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers
• History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data
• Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach
• Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition
• Improve Bounding Box in Carla Simulator
• Assessing Trustworthiness of V2X Messages: A Cooperative Trust Model Against CAM- and CPM-Based Ghost Vehicles in IoV
• Traffic State Estimation on Urban Roads Using Perception-Enriched Floating Car Data
• Human Centric Intersection Crossing Control Using C-ITS Information
• Multi-Layer Energy Management System for Cost Optimization of Battery Electric Vehicle Fleets
• Lifelong Dynamic Timed A* (LTA*) for Fastest Path Retrieval in Congested Road Networks Using Predicted Speeds
• Making Radar Detections Safe for Autonomous Driving: A Review
• How Should I Measure Vehicle Deformation Depth?
• A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study
• Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach
• Enhancing Individual Mobility: A Multistage Personalization Approach for Itinerary Planning in Multimodal Networks
• Optimal Velocity Model Based CACC Controller for Urban Scenarios
• CARISMA: CAR-Integrated Service Mesh Architecture
• Optimizing Traffic Adaptive Signal Control: A Multi-Objective Simulation-Based Approach for Enhanced Transportation Efficiency
• Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward
• Real-Time Traffic Prediction Through Stochastic Gradient Descent
• Bus Routing Optimisation: A Case Study for the Toulouse Metropolitan Area
• Introducing Scaled Model Development to on-Sight Automatic Train Operation
• Multi-Pedestrian Tracking and Map-Based Intention Estimation for Autonomous Driving Scenario
• Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations
• Connected Vehicle Perception Monitoring: A Runtime Verification Approach for Enhanced Autonomous Driving Safety
• What Is the Right Bounding Box of a VRU Cluster in V2X Communication? How to Form a Good Shape?
• Spatial Performance Indicators to Evaluate Spatiotemporal Traffic Prediction
• Archetypes of Carsharing Relocation Algorithms: A Perspective on Problem Space, Solution Space and Evaluation
• Beep, Bleep, Oops! A Discussion on the Misuse of Advanced Driver Assistance Systems (ADAS) and the Path Moving Forward
• Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case
• Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks
• Dynamic Prices in Ride-Sharing Scenarios
• A Prototype Preceding Vehicle Identification System Development and Field Evaluation
• Study of Track Segmentation for Lap Time Optimization
• Modelling Implicit and Explicit Communication Between Road Users from a Non-Cooperative Game-Theoretic Perspective: An Exploratory Study
• Geographical Self-Organizing Map Clustering in Large-Scale Urban Networks for Perimeter Control
• Using V2X-Information for Trajectory Prediction at Urban Intersections
• Overview of Publicly-Available Data Sources on Road Traffic Accidents in Russia
• Introducing Flowride® Logger, an Onboard Data Collection Framework for Commercial Automated Vehicles
• Efficient Real-Time Obstacle Avoidance Using Multi-Objective Nonlinear Model Predictive Control and Semi-Smooth Newton Method
• Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models
• Challenges of Remote Driving on Public Roads Using 5G Public Networks
• Infrastructure-Based Communication Trust Model for Intelligent Transportation Systems
• Parameter Adjustments in POMDP-Based Trajectory Planning for Unsignalized Intersections
• VR Public Speaking Simulations Can Make Voices Stronger and More Effortful
• Metaverse in Education: What Has Been Done so Far? A Systematic Literature Review to Map Benefits and Limitations and to Set Future Research and Application Directions
• How Do VR Applications Address the Challenges of Conveying the Tactile Feedback Crucial to Traditional Calligraphy Practice
• Investigating Female Sexual Presence Through Triangulation of Behavioral and Physiological Measures in Virtual Reality: Towards Therapeutic Applications for Sexual Disorders
• The Preservation of Heritage in a School Campus with Augmented Reality (AR) and Game-Based Learning
• Development of a Real-Time Adaptable Virtual Reality-Scenario Training for Anaesthesiology Education, a User-Centered Design
• Development of a Patient-Embodied Experience, How and Why?
• Virtual Museum Gamification for Discovery-Based Online Learning in the Metaverse
• An Adaptive Learning Environment for Industry 4.0 Competencies Based on a Learning Factory and Its Immersive Digital Twin
• Harmosphere VR: Enhancing Harmonic Learning in Music Schools Through Virtual Reality
• Social Virtual Environments: Opportunities and Workflows in Cultural Heritage and Education in Architecture
• Automatic Question Generation for the Japanese National Nursing Examination Using Large Language Models
• Overcoming Student Passivity with Automatic Item Generation
• A Method for Generating Testlets
• Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations
• Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks
• Investigating the Quality of AI-Generated Distractors for a Multiple-Choice Vocabulary Test
• Techville’s Chronicles: A Music Pedagogy Project to Foster Children’s AI Literacy Through Co-Creativity and Multimedia Storytelling
• Fostering Piano Keyboard Proficiency Through Interactive Minigames on a MIDI Controller
• Troubadour: Inverse Dictation Games for Ear Training
• A Quantitative Survey of Digital Competencies of Music Teachers in the European Union
• Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework
• ConstrucTED: Constructing Tailored Educational Datasets from Online Courses
• Navigating the Landscape of Digital Competence Frameworks: A Systematic Analysis of AI Coverage and Adaptability
• Towards Task-Oriented ICALL: A Criterion-Referenced Learner Dashboard Organising Digital Practice
• XM: A Customised Software Tool to Facilitate Learning and Professional Skills Development in Operating Systems
• How to Make User Interfaces More Accessible and Easier to Use for People who Are Different from Us: Breaking the Spell of the Curse of Knowledge
• Views of Administrators on the Use of Social Media Networks and Tools in School Management Processes
• Evaluation of Orthogonal Vector Projection Method in ST Algorithm for Generating Differential Diagnoses of Chest Pain: A Pilot Study
• Quantitative Analysis of the Relationship Between Master Data Quality and Process Quality
• Enhancing Constructivist Learning: The Role of Generative AI in Personalised Learning Experiences
• A Multi-Feature Semantic Fusion and Bipartite Graph-Based Risk Identification Approach for Project Participation
• Measuring Older People’s Attitudes Towards Personal Robots
• Autobiographically Designing Mixed Reality for Lecturers
• Predicting Students’ Final Exam Scores Based on Their Regularity of Engagement with Pre-Class Activities in a Flipped Classroom
• An AI-Based Virtual Client for Educational Role-Playing in the Training of Online Counselors
• Oil Spill Detection Using Remote Sensing and GIS in Eastern Coast of United Arab Emirates
• Blockchain Applied to Security in Industrial Internet of Things Devices
• An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning
• Module of Contrastive Analysis for a Phonological Assessment Software in Development
• A Computer Vision-Based Method for Collecting Ground Truth for Mobile Robot Odometry
• Evaluating UX Factors on Mobile Devices: A Feasibility Study
• Job Crafters Going Digital: A Framework for IT-Based Workplace Adaption
• An Enterprise Architecture-Based Approach Towards More Agile and Resilient Command and Control
• 3D Virtual Fitting Network (3D VFN)
• EQNet: A Post-Processing Approach to Manage Popularity Bias in Collaborative Filter Recommender Systems
• VRU-Net: Convolutional Neural Networks-Based Detection of Vulnerable Road Users
• Optimizing Academic Pairings in Smart Campuses: A Recommendation System for Academic Communities
• Comprehensive Traceability Framework for Synchronizing Design UML Sequence Diagrams with a BPMN Diagram
• A Revolutionary Real-Time Translation Tool for Text, Audio, and Sign Language from Images
• Machine Learning Models with Fault Tree Analysis for Explainable Failure Detection in Cloud Computing
• Software Engineers Engagement and Job Satisfaction: A Survey with Practitioners Working Remotely in a Public Organization
• Teaching Introductory Game Audio to Undergraduate Students Using a Novel Digital Game Template
• A Methodology for Web Cache Deception Vulnerability Discovery
• Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation
• A Systematic Mapping Study on Impact Analysis
• Feature Extraction, Learning and Selection in Support of Patch Correctness Assessment
• Multimodal Approach Based on Autistic Child Behavior Analysis for Meltdown Crisis Detection
• Machine Learning for a Better Agriculture Calendar
• Optimizing Intensive Database Tasks Through Caching Proxy Mechanisms
• Enhancing Holonic Architecture with Natural Language Processing for System of Systems
• A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise
• Egyptian Hieroglyphs Localisation Through Object Detection
• A Webcam Artificial Intelligence-Based Gaze-Tracking Algorithm
• Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study
• Towards an Approach for Integrating Risk Management Practices into Agile Contexts
• Accurate Recommendation of EV Charging Stations Driven by Availability Status Prediction
• An Empirical Examination of the Technical Aspects of Data Sovereignty
• RLHR: A Framework for Driving Dynamically Adaptable Questionnaires and Profiling People Using Reinforcement Learning
• A Lightweight, Computation-Efficient CNN Framework for an Optimization-Driven Detection of Maize Crop Disease
• Diagnosis Automation Using Similarity Analysis: Application to Industrial Systems
• Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains
• An Evaluation of Risk Management Standards and Frameworks for Assuring Data Security of Medical Device Software AI Models
• Evaluating the Relative Importance of Product Line Features Using Centrality Metrics
• Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts
• Integrating a LLaMa-based Chatbot with Augmented Retrieval Generation as a Complementary Educational Tool for High School and College Students
• Cracking the Code: Web 3.0 Software Development Challenges and Guidelines
• The Game of One More Idea: Gamification of Managerial Group Decision-Making in Software Engineering
• Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands
• Improving Robustness of Satellite Image Processing Using Principal Component Analysis for Explainability
• Smart Blockchain-Based Information Flow Control for SOA
• HybridCRS-TMS: Integrating Collaborative Recommender System and TOPSIS for Optimal Transport Mode Selection
• Evaluating the Performance of LLM-Generated Code for ChatGPT-4 and AutoGen Along with Top-Rated Human Solutions
• Automated Generation of Web Application Front-end Components from User Interface Mockups
• A Tool-Supported Approach for Modelling and Verifying MapReduce Workflow Using Event B and BPMN2.0
• Overcoming Obstacles in Model-Driven Engineering: Lessons from the Software Industry
• Asserting Frame Properties
• Towards an Ethereum Smart Contract Fuzz Testing Tool
• From Low Fidelity to High Fidelity Prototypes: How to Integrate Two Eye Tracking Studies into an Iterative Design Process for a Better User Experience
• Towards Accurate Cervical Cancer Detection: Leveraging Two-Stage CNNs for Pap Smear Analysis
• Logging Hypercalls to Learn About the Behavior of Hyper-V
• AsmDocGen: Generating Functional Natural Language Descriptions for Assembly Code
• Optimisation of Ceramic Kiln Loading Problem Using Multi-Objective Genetic Algorithm
• A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation
• Design of Adaptable and Secure Connectors for Software Architectures
• Conceptual Model Detection in Business Web Applications Within the RPA Context
• Six-Layer Industrial Architecture Applied to Predictive Maintenance
• The End of Mobile Software Engineering (As We Know It)
• Adopting Delta Maintainability Model for Just in Time Bug Prediction
• Integrating SysML and Timed Reo for Modeling Interactions in Cyber-Physical Systems Components
• From IoT Servitization to IoT Assetization
• A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence
• Readability of Domain-Specific Languages: A Controlled Experiment Comparing (Declarative) Inference Rules with (Imperative) Java Source Code in Programming Language Design
• Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data
• Detecting and Resolving Bad Organisational Smells for Microservices
• Smart Widening for the Polyhedral Analysis
• Efficiently Computing Maximum Clique of Sparse Graphs with Many-Core Graphical Processing Units
• Multi-Criteria Decision-Making Approach for an Efficient Postproduction Test of Reconfigurable Hardware System
• A Reference Architecture for Dynamic IoT Environments Using Collaborative Computing Paradigms (CCP-IoT-RA)
• LAMA: Leakage Abuse Attacks Against Microsoft Always Encrypted
• DYNAMO: Towards Network Attack Campaign Attribution via Density-Aware Active Learning
• From Plant to Lab: Industrial Emulation Tools for Real-World Security Testing in Industrial Control Systems
• Backdoor Attacks During Retraining of Machine Learning Models: A Mitigation Approach
• On the Implementation of a Lattice-Based DAA for Vanet System
• HydroLab: A Versatile Hydroelectric Power Lab for Security Research and Education
• Towards Privacy-Preserving Multi-Cloud Identity Management Using SOLID
• Evaluating Digital Forensic Readiness: A Honeypot Approach
• Attribute Threat Analysis and Risk Assessment for ABAC and TBAC Systems
• Black Sheep Wall: Towards Multiple Vantage Point-Based Information Space Situational Awareness
• K-Resilient Public Key Authenticated Encryption with Keyword Search
• Higher Order Leakage Assessment and Neural Network-based Attack on CRYSTALS-Kyber
• MultiVD: A Transformer-based Multitask Approach for Software Vulnerability Detection
• Security Analysis for BB84 Key Distillation
• Verifying Artifact Authenticity with Unclonable Optical Tags
• High-Speed Pipelined FPGA Implementation of a Robust Steganographic Scheme for Secure Data Communication Systems
• UPCARE: User Privacy-Preserving Cancer Research Platform
• Perception of Privacy Tools for Social Media: A Qualitative Analysis Among Japanese
• An Extended Method for Transmitting Secret Messages in Textual Documents Based on Paragraph Resizing
• Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption
• The Use of the DWARF Debugging Format for the Identification of Potentially Unwanted Applications (PUAs) in WebAssembly Binaries
• A Framework for Federated Analysis of Health Data Using Multiparty Homomorphic Encryption
• Violence Detection: A Serious-Gaming Approach
• chiku: Efficient Probabilistic Polynomial Approximations Library
• A Secure and Privacy-Preserving Authentication Scheme with a Zero-Trust Approach to Vehicle Renting in VANETs
• Fuzzy Vault Security Enhancement Avoid Statistical Biases
• Linkage Between CVE and ATT&CK with Public Information
• A Performant Quantum-Resistant KEM for Constrained Hardware: Optimized HQC
• Characterization of Consensus Correctness in Ripple (XRP) Networks
• On Privacy of RFID-Based Authentication Protocols
• Revolutionizing Blockchain Consensus: Towards Deliberative and Unanimous Agreement
• Automating Compliance for Improving TLS Security Postures: An Assessment of Public Administration Endpoints
• On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring
• TI-NERmerger: Semi-Automated Framework for Integrating NER Datasets in Cybersecurity
• Dvorak: A Browser Credential Dumping Malware
• Solving Access Control Conflicts in Multi-User Systems
• A Composition Algebra for Decentralized Enforcement of Access Control Policies with an Application to Vehicular Networks
• SCWAD: Automated Pentesting of Web Applications
• Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning
• OIPM: Access Control Method to Prevent ID/Session Token Abuse on OpenID Connect
• Encrypted KNN Implementation on Distributed Edge Device Network
• InspectorLog: A New Tool for Offline Attack Detection over Web Log Trace Files
• Lightweight Cryptographic Algorithms: A Position Paper
• Local Differential Privacy for Data Clustering
• QPTA: Quantum-Safe Privacy-Preserving Multi-Factor Authentication Scheme for Lightweight Devices
• Secure Multi-Party Traversal Queries over Federated Graph Databases
• An Uncertain Reasoning-Based Intrusion Detection System for DoS/DDoS Detection
• Enhancing Adversarial Defense in Behavioral Authentication Systems Through Random Projections
• Amun: Securing E-Voting Against Over-the-Shoulder Coercion
• Improving the Efficiency of Intrusion Detection Systems by Optimizing Rule Deployment Across Multiple IDSs
• Towards a Cryptographic Model for Wireless Communication
• Balancing Patient Privacy and Health Data Security: The Role of Compliance in Protected Health Information (PHI) Sharing
• Utilizing Machine Learning for Optimizing Cybersecurity Spending in Critical Infrastructures
• DISC: A Dataset for Information Security Classification
• MATRaCAE: Time-Based Revocable Access Control in the IoT
• Towards a Secure and Intelligent Access Control Policy Adapter for Big Data Environment
• Kex-Filtering: A Proactive Approach to Filtering
• An Efficient Hash Function Construction for Sparse Data
• Imperceptible QR Watermarks in High-Resolution Videos
• Code Obfuscation Classification Using Singular Value Decomposition on Grayscale Image Representations
• Bringing Binary Exploitation at Port 80: Understanding C Vulnerabilities in WebAssembly
• A Formal Analysis of CIE Level 2 Multi-Factor Authentication via SMS OTP
• Cache Side-Channel Attacks Through Electromagnetic Emanations of DRAM Accesses
• Membership Inference Attacks Against Indoor Location Models
• An ASM-Based Approach for Security Assessment of Ethereum Smart Contracts
• Enhancing OpenID Connect for Verifiable Credentials with DIDComm
• Large-Scale Analysis of GitHub and CVEs to Determine Prevalence of SQL Concatenations
• Spellchecker Analysis for Behavioural Biometric of Typing Errors Scenario
• QuDPas-FHA: Quantum-Defended Privacy-Preserved Fast Handover Authentication in Space Information Networks
• A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning
• The IoT Breaches Your Household Again
• Classifying Human-Generated and AI-Generated Election Claims in Social Media
• Toward the Foundation of Digital Identity Theory
• Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection
• Do You Trust Your Device? Open Challenges in IoT Security Analysis
• Securing Patient Data in IoT Devices: A Blockchain-NFT Approach for Privacy, Security, and Authentication
• Leveraging Deep Learning for Intrusion Detection in IoT Through Visualized Network Data
• Graph-Based Modelling of Maximum Period Property for Nonlinear Feedback Shift Registers
• Enhancing Privacy in Machine Learning: A Robust Approach for Preventing Attribute Inference Attacks
• Formal Analysis of C-ITS PKI Protocols
• Privacy-Preserving Anomaly Detection Through Sampled, Synthetic Data Generation
• Comparison of Access Control Approaches for Graph-Structured Data
• BlueDoS: A Novel Approach to Perform and Analyse DoS Attacks on Bluetooth Devices
• CVE2CWE: Automated Mapping of Software Vulnerabilities to Weaknesses Based on CVE Descriptions
• Property Inference as a Regression Problem: Attacks and Defense
• FPGA Implementation of AES-Based on Optimized Dynamic s-Box
• Simulating SASCA on Keccak: Security Implications for Post-Quantum Cryptographic Schemes
• Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers
• Open-Source Post-Quantum Encryptor: Design, Implementation and Deployment
• Safe or Scam? An Empirical Simulation Study on Trust Indicators in Online Shopping
• Malware Analysis Using Transformer Based Models: An Empirical Study
• Brain Stroke Prediction Using Visual Geometry Group Model
• Stochastic Simulation Agent for Unknown Inventory Demands in Healthcare Supply Management
• Dynamic Price Prediction for Revenue Management System in Hospitality Sector
• An Effective Prediction of Events in Social Networks Using Influence Score of Communities
• Logical Rule Set to Data Acquisition and Database Semantics
• A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet
• Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis
• Artificial Intelligence-Powered Large Language Transformer Models for Opioid Abuse and Social Determinants of Health Detection for the Underserved Population
• BeRTo: An Efficient Spark-Based Tool for Linking Business Registries in Big Data Environments
• Recommendations of Research Articles by Experts: Visualizing Relationships and Expertise
• Online Machine Learning for Adaptive Ballast Water Management
• Data-Driven Model Categorization: Advancing Physical Systems Analysis Through Graph Neural Networks
• Students’ Performance in Learning Management System: An Approach to Key Attributes Identification and Predictive Algorithm Design
• Dataset Balancing in Disease Prediction
• A Comparison of the Efficiencies of Various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development
• Efficient and Secure Multiparty Querying over Federated Graph Databases
• Forgetting in Knowledge Graph Based Recommender Systems
• Towards Computational Performance Engineering for Unsupervised Concept Drift Detection: Complexities, Benchmarking, Performance Analysis
• Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials
• Yet Another Miner Utility Unveiling a Dataset: CodeGrain
• Use of Semantic Artefacts in Agricultural Data-Driven Service Development
• Reputation, Sentiment, Time Series and Prediction
• A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident
• Is Positive Sentiment Missing in Corporate Reputation?
• Study of Impact of Gender on Engagement and Performance of Engineering Students
• Random Neural Network Ensemble for Very High Dimensional Datasets
• Federated Road Surface Anomaly Detection Using Smartphone Accelerometer Data
• A Comparative Study on the Impact of Categorical Encoding on Black Box Model Interpretability
• Privacy-Preserving Big Hierarchical Data Analytics via Co-Occurrence Analysis
• Risk-Stratified Multi-Objective Resource Allocation for Optimal Aviation Security
• Comparative Analysis of Hate Speech Detection Models on Brazilian Portuguese Data: Modified BERT vs. BERT vs. Standard Machine Learning Algorithms
• Real-Time Equipment Health Monitoring Using Unsupervised Learning Techniques
• Machine Learning Classification in Cardiology: A Systematic Mapping Study
• Impact of Satellites Streaks for Observational Astronomy: A Study on Data Captured During One Year from Luxembourg Greater Region
• Cross-Lingual Low-Resources Speech Emotion Recognition with Domain Adaptive Transfer Learning
• Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach
• Discretization Strategies for Improved Health State Labeling in Multivariable Predictive Maintenance Systems
• HTC-GEN: A Generative LLM-Based Approach to Handle Data Scarcity in Hierarchical Text Classification
• Failure Prediction Using Multimodal Classification of PCB Images
• A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models
• Course Recommendation System for Company Job Placement Using Collaborative Filtering and Hybrid Model
• It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots
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• Interoperable Open Data Platforms: A Prototype for Sharing CKAN Data Sources
• Twitter Metrical Data Analysis Using R: Twiplomacy in the Outbreak of the War in Ukraine
• Anomaly Detection in Industrial Production Products Using OPC-UA and Deep Learning
• Intelligent Sampling System for Connected Vehicle Big Data
• Prediction of Academic Success in a University and Improvement Using Lean Tools
• An Exploratory Analysis of Malaria and Climatic Factors in India
• Machine Learning for KPI Development in Public Administration
• Visualization and Interpretation of Mel-Frequency Cepstral Coefficients for UAV Drone Audio Data
• Spatial and Spatio-Temporal Modelling of Auto Insurance Claim Frequencies During Pre-and Post-COVID-19 Pandemic
• Towards Semantic Data Management Plans for Efficient Review Processing and Automation
• Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research
• Visualizing OWL and RDF: Advancing Ontology Representation for Enhanced Semantic Clarity and Communication
• Navigating the AI Timeline: From 1995 to Today
• Intelligent Transportation Systems: A Survey on Data Engineering
• Expert Agent Guided Learning with Transformers and Knowledge Graphs
• A Max Flow Min Cut View of Social Media Posts
• Presence of Corporate Reputation Cues in Company Vacancy Texts Boosts Vacancy Attractiveness as Perceived by Employees
• Hidden Champions Revised: Towards a New Conceptual Framework
• Enhancing Returns Management in Fashion E-Commerce: Industry Insights on AI-Based Prediction and Recommendation Systems
• Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments
• Artificial Neural Network Model for Predicting Excavator Downtime
• Framework for Modeling the Propagation of Disturbances in Smart Construction Sites
• Sentiment Analysis-Based Chatbot System to Enhance Customer Satisfaction in Technical Support Complaints Service for Telecommunications Companies
• Business-RAG: Information Extraction for Business Insights
• Speech Recognition for Inventory Management in Small Businesses
• Classification of Peruvian Elementary School Students with Low Achievement Problems Using Clustering Algorithms and ERCE Evaluation
• Exploring the Test Driven Development of a Big Data Infrastructure Examining Gun Violence Incidents in the United States of America
• Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Validation of a Case Study at the University of Trás-os-Montes and Alto Douro
• A Bibliometric Analysis of Green Accounting, Environmental Accounting and Green Business Publications in a Global Perspective
• Process Mining Enabled Cognitive RPA to Automate Data Entry Tasks in ERP Systems
• A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning
• Gathering and Matching Data from the Web: The Bibliographic Data Collection Case Study
• Web Service-Based Capacitated Smart Vehicle Routing Problem with Time Window and Threshold Waste Level for Home Health Care Industry
• Coordinated Route Recommendation for Improving Social Distancing in a Congested Subway Network
• A New Digital Twin Paradigm: Definition, Framework, and Proposed Architecture
• Utilizing Sensor and Actuator Virtualization to Achieve a Systemic View of Mobile Heterogeneous Cyber-Physical Systems
• DREAM-ON GYM: A Deep Reinforcement Learning Environment for Next-Gen Optical Networks
• A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control
• Algorithm of Forming the Appearance of the Flow Path of Turbomachinery of Two-Shaft Aircraft Engine Core
• Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada
• Regression Equations for Preliminary Dimensioning of Axial Compressor Discs
• The Negotiator: Interactive Hostage-Taking Training Simulation
• Interactive Storytelling Apps: Increasing Immersion and Realism with Artificial Intelligence?
• Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation
• A Layering Approach with Role-based Workflow Modelling for the Enterprise Workflow
• A Digital Twin based Approach to Structural Mechanics: New Perspectives for Robotics in Forestry and Beyond
• Coupling Agent-Based Simulations and VR Universes: the Case of GAMA and Unity
• Method for Automated Parametric Studies and Evaluation Using the Example of an Aerosol-on-Demand Jet-Printhead
• Methodological Approach to Model and Validate CPS
• A Sampling-Based Approach to UAV Manipulator Path Planning
• Trajectory Generation Model: Building a Simulation Link Between Expert Knowledge and Offline Learning
• Optimizing Privacy-Utility Trade-Off in Healthcare Processes: Simulation, Anonymization, and Evaluation (Using Process Mining) of Event Logs
• Using NetLogo to Simulate Large Production Plants: Simulation Performance: A Case Study
• Performance Improvement of a Vertical Turbine Pump Accounting for the Solid-Water Two-Phase Flow Conditions
• Multi-Method Approaches for Simulation Modelling of Warehouse Processes
• The Unreasonable Effectiveness of Artefacts and Documentation: An Exploration of Consensus Using Multi-Agent Simulations in a Two-Team Configuration
• Complex Responsive Processes: The Emergence of Enabling Constraints in the Living Present of a Cyber-Physical Social System
• Optimal Wireless Meter Deployment Using Evolutionary Algorithms
• Unlocking Antenna Performance: Harnessing the Power of the Hahn-Banach Theorem in Wireless Communication Systems
• Non Linear Homogenization of Laminate Magnetic Material by Computing Equivalent Magnetic Reluctivity
• Adapting Retail Supply Chains for the Race to Sustainable Urban Delivery
• Optimal Design of a Variable-Pitch Axial Flow Fan by Applying Optimization Algorithm to Design, Through-Flow Analysis and CFD Simulation Methods
• On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification
• Delivery Zones Partitioning Considering Workload Balance Using Clustering Algorithm
• A Web-Based System for Learning Qualitative Constraint Networks with Preferences
• Enhancing Continuous Optimization with a Hybrid History-Driven Firefly and Simulated Annealing Approach
• Reliability Analysis of Francis Turbine Cracking Using Gamma Frailty Model and Censored Historical Maintenance Data
• A Greedy Search Based Ant Colony Optimization Algorithm for Large-Scale Semiconductor Production
• Evolutionary Multi-Objective Task Scheduling for Heterogeneous Distributed Simulation Platform
• Possibilities of Simulation of the Socio-Political Conflicts Based on the Mathematical Technique of the Langmuir Monolayers Theory
• Increasing Resilience in Production Networks: A Practical Approach Based on Scenario Planning and Simulation-Based Capacity Analysis
• A Simulation Analysis of Economic and Environmental Factors in the Design of an Electric Vehicle Battery Reverse Supply Chain
• Implementing OntoUML Models with OntoObject-Z Specifications: A Proof of Concept Relying on a Partial Ontology for VLANs
• Semi-Supervised Fuzzy DBN-Based Broad Learning System for Forecasting ICU Admissions in Post-Transplant COVID-19 Patients
• Eco-Sustainability and Efficiency of Healthcare Complex Systems
• Integrated Data-Driven Framework for Automatic Controller Tuning with Setpoint Stabilization Through Reinforcement Learning
• Modelling and Simulation-Based Evaluation of Twinning Architectures and Their Deployment
• A Model of the Control System of a Carbon Dioxide Gas Turbine in Supercritical Condition
• Combine Intent Recognition with Behavior Modeling in Teaching Competition Military Simulation Platform
• A Vision for Advancing Digital Twins Intelligence: Key Insights and Lessons from Decades of Research and Experience with Simulation
• Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis
• Virtually Free Randomisations of NTT in RLWE Cryptosystem to Counteract Side Channel Attack Based on Belief Propagation
• CyberGuardian: An Interactive Assistant for Cybersecurity Specialists Using Large Language Models
• Enhancing User Experience in Games with Large Language Models
• GAN-based Seed Generation for Efficient Fuzzing
• Development of GIS-Based Simulations for Evaluating Interventions in Latvia's Transport System
• A Deep Dive into GPT-4's Data Mining Capabilities for Free-Text Spine Radiology Reports
• Computing: Looking Back and Moving Forward
• Compact Representation of Digital Camera's Fingerprint with Convolutional Autoencoder
• Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors
• Artificial Bee Colony Algorithm: Bottom-Up Variants for the Job-Shop Scheduling Problem
• Research on the Relationship Between Organizational Commitment and Work Performance of College Teachers Based on Big Data Technology
• Research on the Influence of Lane Width on Drivers' Dangerous Lane Change Behavior on Urban Roads
• Enhancing Intelligent Mobility: LSTM Neural Networks for Short-Term Passenger Flow Prediction in Rail Transit
• The Prediction of Google Stock Closing Price Based on Linear Regression Model and Random Forest Model
• Analysis of Traffic Congestion Using LSTM and Graph Theory
• Research on Microsoft Stock Price Prediction Based on Various Models
• Predictive Analysis of Tesla's Stock Closing Prices Utilizing LSTM and GRU Deep Learning Models
• The Investigation Related to the Role of ChatGPT in English Language Teaching
• Yellow Taxi Demand Prediction for New York City Based on VMD-SSA-LSTM
• Research on Pricing of Automatic Redemption Structured Deposit Products Based on Monte Carlo Simulation
• Research on the Application and Management of Shared Bikes in Smart Cities
• The Psychological Effects of Fear of Missing Out (FOMO) on Consumer Behaviour with a Focus on Social Media
• A Study on Audience Participation in Suspense Movies in the Era of Social Media: Taking "Lost in the Stars" as an Example
• Consumption Characteristics and Evaluation Methods in Era Z
• Integration of CAPM and ANN in the Application of Stock Forecasting
• Research on Credit Card Default Prediction for Class-Imbalanced Datasets Based on Machine Learning
• The Evolution of Digital Signature Technologies in Mobile Devices
• Evaluating the Predictive Proficiency of Machine Learning Algorithms: Progressive Developments in Diamond Price Forecasting
• Study on the Influencing Factors and Prediction of Air Quality in California Based on Multiple Linear Regression and Gaussian Process Regression Models
• Research on Microsoft Stock Prediction Based on Machine Learning Methods
• CNY EX Rate Prediction Based on LSTM and Machine Learning Methods
• Analysis and Control of Airport Runway Intrusion
• The Correlation Between Social Media and Consumer Behaviour: A Research on Movie Industry in China
• Research on the Influencing Factors of GDP in Anhui Province Based on Statistical Analysis
• The Contradiction of Social Media at Stage: Study on the Use of Social Media in Hong Kong
• Decentralized Encrypted Communication: An Investigation of the Current Landscape and Future Prospect
• Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods
• The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation
• Factors Influencing the Profitability and Loss of Chinese Insurance Companies Based on Factor Analysis
• Advertising Optimization and Feature Analysis Based on Machine Learning
• Explore the Interplay Between Social Media Marketing and Audience Reception for Female-Centric Asian Films
• Analysis of Laptop Price Influencing Factors and Price Prediction
• The Impact of Education Input on China's Economic Growth
• Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression
• Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method
• Human Activity Recognition Using Smartphone Sensors Based on XGBoost Model
• House Price Prediction with Optimistic Machine Learning Methods Using Bayesian Optimization
• Energy Efficiency Analysis of China Based on DEA Methods Under Dual Carbon Target
• The Impact of Natural Population Growth Rate and per Capita GDP on Life Expectancy in China
• Maximizing the Potential of Multiheaded Attention Mechanisms Dynamic Head Allocation Algorithm
• Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis
• Exploring LSTM Networks for Stock Price Prediction in the Chinese Baijiu Industry
• Bernoulli Distribution-Based Maximum Likelihood Estimation for Dynamic Coefficient Optimization in Model-Contrastive Federated Learning
• Convolutional Neural Network's Stacking Classifier on Cardiovascular Disease
• Predicting the Characteristics of Tsunamis Using Machine Learning
• Predicting Loan Eligibility Approval Using Machine Learning Algorithms
• Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression
• The Exploration of Artificial Intelligence in Pronunciation Teaching
• Empirical Analysis of Convertible Bond Pricing and Arbitrage Based on Black-Scholes Model
• Impact of Green Policies on Industrial Upgrading
• Development of Text Classification Methods Based on Deep Learning
• Comparison Between Two Algorithms in Music Genre Classification
• Comparative Analysis of Encoder-Only, Decoder-Only, and Encoder- Decoder Language Models
• A Comprehensive Research of Data Privacy Based on Federated Learning
• Research on Solutions to Non-IID and Weight Dispersion
• House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP)
• Sentiment Analysis with Different Deep Learning Methods
• Advancements in Single Image Super-Resolution Techniques
• Image Classification Based on Deep Learning
• Research on Solving Communication Instability and Non-IID
• Behavioral Responses to Health Anxiety in Different Populations Were Analyzed Based on Social Media Platform Data
• Exploration and Analysis of FedAvg, FedProx, FedMA, MOON, and FedProc Algorithms in Federated Learning
• The Advancements of Pruning Techniques in Deep Neural Networks
• Simulation Study of Industrial Robots Based on Offline Programming
• The Investigation of Industry Application Scenarios in Digital Signature
• The Investigation of Layer 2 Blockchain Technologies for Decentralized Applications
• Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models
• Evolution of Object Detection Algorithms Utilizing Deep Learning
• The Advancements and Applications of Artificial Intelligence in Gastric Cancer Diagnosis
• UNet and Transformers: Deep Learning Based Methods for Medical Image Segmentation
• BEV-Based 3D Detection for Automatic Driving Using Lidar-Camera Fusion
• The Evolving Landscape of Smart Contracts: From Cypherpunk Dreams to Transforming Industries
• Risk Management in A Global Supply Chain
• Chinese Text Summarization Based on Multi-Layer Attention
• Reappearance and Optimization of the FedDyn Algorithm
• Deep Learning-Based Multimodal Sentiment Analysis
• Development of Text Error Correction Techniques in Chinese Corpus
• Advanced Chinese Rap Lyric Generation with Integrated Markov Chain and LSTM Models
• Prediction of Bank Fixed Deposits Based on Logistic Regression
• Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology
• Forecasting the Future Development of ABCtronics: A Comprehensive Analysis
• Machine Learning-Based Steam Platform Game's Popularity Analysis
• Application Research of Substation Power Inspection Robot Based on Image Recognition Technology
• Comparative Analysis of Predictive Models for Estimating Body Fat Percentage Using Three Models
• Investigation of Advancements in Machine Learning Algorithms for Accented Speech Recognition
• Research on Weld Tracking Based on Machine Vision
• Research on the Control of the end Effector of the Large-Scale Curved Surface Compliant Polishing Robot
• Comparative Analysis of Different Deep Learning Models on Face Recognition Tasks
• Compare of Linear Regression Model and LSTM Neural Network in Machine Learning
• Deep Learning-Based Prediction and Analysis of Highway Traffic Flow near Airports
• Using GIS Machine Learning Technique to Analysis Road Safety near Parks
• Exploration and Discussion for Bitcoin Encryption Algorithms
• The Investigation of Fully Homomorphic Encryption: Techniques, Applications, and Future Directions
• Explore the Impact of Live Marketing on Contemporary Consumption Concepts
• Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment
• Multi-Factor Stock Selection Strategy Based on Network Sentiment Analysis
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• Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project
• The Investigation of Progress Related to Harmful Speech Detection Models
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• Ensembled Learning Based Model for Bank Churn Prediction
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• Comparative Research on Performance of Image Recognition and Classification Using VGG16 with Different Features
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• Research on Traffic Flow Prediction Based on ARIMA Model
• Advancements of Graph Neural Networks in Urban Traffic Prediction
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• Cardiovascular Disease Prediction Based on Machine Learning
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• Digital Supply Chain Improves the Performance of e-Commerce Enterprises
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• Refined Object Detection: Integrating C2f and SE Mechanisms in YOLOv5
• The Advancements of Convolutional Neural Networks on Cerebral Hemorrhage Detection
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• Analysis of ZEEKR New Energy Vehicle Marketing Strategy
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• Empirical Analysis of Trade Cost Impacts on Cross-Border e-Commerce Competitiveness: A Case Study of China and 'Belt and Road' Countries in the Digital Economy
• Exploring the Silver Screen: A Comparative Study of UCB and EUCBV Algorithms in Movie Genre Recommendation
• How Does AI Impact Supply Chain Effectiveness?
• Transformer-Based Fine-Tuning and Zero-Shot Learning for Image Classification
• Progressing Toward Smart Brain Hemorrhage Detection: Machine Learning-Based Advanced Medical Imaging Technologies
• Enhancing Object Detection with YOLOv8 Transfer Learning: A VOC2012 Dataset Study
• Performance Comparison and Analysis Between MOON and FedProx in Image Classification
• The Comprehensive Investigation of Machine Learning-Based Patient Brain Stroke Prediction
• Combining MapReduce and Serverless Computing for Efficient Word Frequency Statistics
• Efficacy and Efficiency in Object Detection: Exploring YOLOv9 on Limited Resources
• An Investigation of Studies on Spam Filtering Based on Machine Learning
• Exploring the Potential of Artificial Intelligence in English Education
• Difficulties Faced by SMEs and Traditional Industries in Digital Intelligent Transformation under the Background of Digital Intelligent Transformation and Suggestions
• Enhancing Intelligent Vehicle Lane-Change Strategies Based on Deep Reinforcement Learning
• Enhanced Pneumonia Detection in Chest X-Rays Based on Integrated Denoising Autoencoders and Convolutional Neural Networks
• Deep Learning-Based Algorithms in Solving Traffic Jam in Smart Transportation
• Examine the Impacts of the Coronavirus Crisis on Vegetable Pricing
• The Research About the Relationship Between Express Delivery and Business Revenue in China
• The Development and Technical Research and Analysis of Image Classification
• Advancements of Deep Learning-Based Pneumonia Chest Classification
• YOLOv8-Based Framework for Accurate Lung CT Nodule Images Detection
• Medical Image Classification Based on Transformer Model and Ordinal Loss
• Research on Face Recognition Technology Based on Real-World Application Scenarios
• Analysis of Luckin's Brand Joint Strategy
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• Application and Analysis of Black and White Image Coloring Based on Generative Adversarial Networks (GANs)
• Comparative Analysis of Brain Tumor Classification and Models Based on VGG16
• Under the Impact of e-Commerce, the Operation Strategy of Physical Clothing Stores
• Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis
• Application of Data Mining Techniques to Supermarket Databases
• A Study on Multi-Arm Bandit Problem with UCB and Thompson Sampling Algorithm
• Convolutional Neural Networks (CNNs)-Based for Medical Image Analysis
• Enhancing Recommendation Systems with Stochastic Processes and Reinforcement Learning
• Federated Learning-Based EfficientNet in Brain Tumor Classification
• Assessment and Optimization of Social Media Marketing Strategies: A Case Study of Xiaohongshu
• Enhancing Cybersecurity in Healthcare: Machine Learning and Deep Learning Strategies for Intrusion Detection on the Internet of Medical Things
• Advances in Pneumonia Detection: A Comprehensive Investigation of Federated Learning and Deep Learning-Based Approaches
• Optimizing Credit Card Fraud Detection with Multi-Armed Bandit Algorithms
• The Investigation of the Application of Apache Spark in Stock Analysis
• Deciphering Spam Through AI: From Traditional Methods to Deep Learning Advancements in Email Security
• Optimizing Privacy and Processing: Navigating Federated Learning in the Era of Edge Computing
• Enhancing Facial Expression Recognition and Analysis with EfficientNetB7
• The Comparison of Diabetes Risk Prediction Accuracy Across Different Models
• Predictive Assessment of Heart Disease Based on Multiple Machine Learning Models
• Advancing House Price Forecasting: Linear Regression and Deep Learning Models Analysis
• Research Advanced in Personalized Federated Learning
• Heart Disease Prediction Using Gradient Boosting Decision Trees
• Enhancing Recommendation Systems Through Contextual Bandit Models
• Inheriting Thompson Sampling for Movie Recommendation
• Research Advanced in Federated Learning
• A New Perspective on the Treatment of Ovarian Cancer: Deep Learning Algorithms-Based Prediction
• Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples
• Advancements in Pancreatic Cancer Detection: A Comprehensive Investigation of Convolutional Neural Network Applications
• Future Development of Information Management Systems Based on Big Data Technology, Artificial Intelligence Technology and Cloud Computing
• Analysis of Upper Confidence Boundary Algorithms for the Multi- Armed Bandit Problem
• Machine Learning-Based Stroke Prediction
• Systematic Investigation on Deep Learning Network in Skin Cancer Diagnosis
• A Comparative Study on the Influencing Factors of the Large Chinese and Foreign Shipping Companies’ Stock Price
• Chat GPT in Education: Applications, Impacts, and Future Prospects
• An Analysis of Customer Churn Prediction in Different Business Industries
• Improving the Performance of Deep Q Network in Decision Making Environment: Applying Multi-Head Attention into DQN
• Federated Learning-Based Face Recognition: Methods, Challenges and Future Prospects
• Forecasting Demand of Shared Bikes Based on ARIMA Model
• Research and Parameter Setting Recommendations for the UCB Algorithm Based on Advertisement Deployment on the Amazon Website
• AI-Based Methods of Cardiovascular Disease Prediction and Analysis
• Advancing Lung Cancer Diagnosis: Federated Learning-Based Privacy Innovations
• Joint C2f and Joint Loss Object Detection Based on YOLOv5
• CNN-Based Facial Emotion Recognition: Modeling and Evaluation
• Wildlife Species Classification on the Edge: A Deep Learning Perspective
• Deep Learning and Machine Learning Based Facial Expression Recognition Employed in Mental Health
• A Conceptual Model of Blended Learning in the Context of Digital Teaching and Learning Transformation
• Research and Application of Domain Knowledge Discovery Based on GPT
• Positioning Method of Four-Wheel Drive Robots Based on Multi-Sensor Fusion and Improved Adaptive Monte Carlo Algorithm
• Design and Experimental Study of Rail Degaussing System Based on Permanent Magnet
• Analysis and Application of College Students' Network Behavior Based on Data Mining
• Traffic Flow Prediction Model Based on BDBO-TCN
• Fault Diagnosis of Process Systems Based on Graph Neural Network
• Power Quality Monitoring Device of EMU Traction Network Based on Zynq
• A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China
• Improved DETR-Based Detection of Icing and Snow on Aircraft Surfaces
• Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion
• Analysis of an Event-Driven Data Relay Based Approach in Ramp Patrols
• A Text Summarization Model Based on Dual Pointer Network Fused with Keywords
• Elevator Passenger Abnormal Behavior Recognition Method Based on Digital Twin
• Research on Maneuver Decision of Unmanned Combat Aerial Vehicles Based on Segmented Reward Function and Improved Deep Q-Network
• A Parameter-Free Self-Training Algorithm for Dual Choice Strategy
• Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students
• Text Mining and Sentiment Classification for Logistics Enterprises Evaluation Based on BERT
• Research on Valve Network Model for Complex Industrial Pipeline Networks
• Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory
• Random Forest Classification of Cognitive Impairment Using Digital Tree Drawing Test (dTDT) Data
• FOCUS: An Intelligent Startle Management Assistant for Maximizing Pilot Resilience
• From Laboratory to Cockpit: Evaluating the Predictive Value of Cognitive Tasks on Flight Simulator Performance
• Emotions-Based Training: Enhancing Aviation Performance Through Self-Awareness and Mental Preparation, Coping with Stress and Emotions
• Airline Pilots’ Perceived Operational Benefit of a Startle and Surprise Management Method: A Qualitative Study
• Advancements in Monitoring Physical Fatigue in Aviation: A Comprehensive Analysis of State-of-the-Art ECG Sensor Technologies
• The Next Generation Cockpit: Requirements of Fighter Pilots in a Highly Automated Environment
• Optimizing Decision Making in Aviation: A New Communication Paradigm for Rerouting
• A Study of Knowledge Exchange for Airborne Delegation in C-SAR Mission
• Thinking the Certification Process of Embedded ML-Based Aeronautical Components Using AIDGE, a French Open and Sovereign AI Platform
• AI-Assisted Debrief: Automated Flight Debriefing Summarization and Competency Assessment
• AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States
• A User-Centered Ontology for Explainable Artificial Intelligence in Aviation
• Man-Machine Teaming: AI’s Overload Management and Task Allocation
• Integrating Rigorous Qualitative Methods into the Design and Evaluation of Safety-Critical Systems
• Working Memory Capacity, Mental Fatigue, and Human Performance
• Using Deep RL to Improve the ACAS-Xu Policy: Concept Paper
• An Index Bucketing Framework to Support Data Manipulation and Extraction of Nested Data Structures
• Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems
• Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms
• Learning to Rank for Query Auto-Complete with Language Modelling in Enterprise Search
• Comparative Analysis of Topic Modelling Approaches on Student Feedback
• Machine Learning Unravels Sex-Specific Biomarkers for Atopic Dermatitis
• Reducing the Transformer Architecture to a Minimum
• Efficient Neural Network Training via Subset Pretraining
• Multi-Label Classification for Fashion Data: Zero-Shot Classifiers via Few-Shot Learning on Large Language Models
• Optimizing High-Dimensional Text Embeddings in Emotion Identification: A Sliding Window Approach
• MLN-Subdue: Substructure Discovery In Homogeneous Multilayer Networks
• Flow Is Best, Fast and Scalable: The Incremental Parametric Cut for Maximum Density and Other Ratio Subgraph Problems
• Federated Learning for XSS Detection: A Privacy-Preserving Approach
• A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning
• RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins
• Positive-Unlabeled Learning Using Pairwise Similarity and Parametric Minimum Cuts
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• Comparing Human and Machine Generated Text for Sentiment
• An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter
• A Network Learning Method for Functional Disability Prediction from Health Data
• Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities
• Efficient Visualization of Association Rule Mining Using the Trie of Rules
• Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping
• Multilayer Networks: For Modeling and Analysis of Big Data
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• GenCrawl: A Generative Multimedia Focused Crawler for Web Pages Classification
• Antibiotic Resistance Gene Identification from Metagenomic Data Using Ensemble of Finetuned Large Language Models
• Route Recommendation Based on POIs and Public Transportation
• Hyperparameter Optimization for Search Relevance in E-Commerce
• Approaches for Extending Recommendation Models for Food Choices in Meals
• A Framework for Self-Service Business Intelligence
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• MAEVE: An Agnostic Dataset Generator Framework for Predicting Customer Behavior in Digital Marketing
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• An End-to-End Generative System for Smart Travel Assistant
• Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
• MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management
• Comparative Performance Analysis of Active Learning Strategies for the Entity Recognition Task
• Intrinsic Evaluation of RAG Systems for Deep-Logic Questions
• Contrato360 2.0: A Document and Database-Driven Question-Answer System Using Large Language Models and Agents
• Prediction of Response to Intra-Articular Injections of Hyaluronic Acid for Knee Osteoarthritis
• Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation
• Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods
• Reviewing Machine Learning Techniques in Credit Card Fraud Detection
• Supervised Machine Learning Models and Schema Matching Techniques for Ontology Alignment
• Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs
• Optimization of Methods for Querying Formal Ontologies in Natural Language Using a Neural Network
• Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph
• A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
• Clustering for Explainability: Extracting and Visualising Concepts from Activation
• How to Surprisingly Consider Recommendations? A Knowledge-Graph-Based Approach Relying on Complex Network Metrics
• Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability
• SMACS: Stress Management AI Chat System
• A Methodology for Interpreting Natural Language Questions and Translating into SPARQL Query over DBpedia
• Semantic Capability Model for the Simulation of Manufacturing Processes
• Applying the LOT Methodology to Enhance the Cinematic Heritage Archives
• Semantic-Aware Validation in Model-Driven Requirements Engineering Using SHACL
• owl2proto: Enabling Semantic Processing in Modern Cloud Micro-Services
• Learning Knowledge Representation by Aligning Text and Triples via Finetuned Pretrained Language Models
• Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
• Benchmarking the Ability of Large Language Models to Reason About Event Sets
• Collaboration Patterns Ontology for Human-Machine Decision Support
• Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey
• Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning
• Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs
• An Holistic Approach to Diagnostic and Therapeutic Care Pathways Management
• Automatic Transcription Systems: A Game Changer for Court Hearings
• Scientific Claim Verification with Fine-Tuned NLI Models
• Data Governance to Be a Data-Driven Organization
• Smart Data Stewardship: Innovating Governance and Quality with AI
• Semantic Support Points for on the Fly Knowledge Encoding in Heterogenous Systems
• EX-DSS: An Explorative Decision Support System for Designing and Deploying Smart Plug Forecasting Pipelines
• Assessing the Use of Online Platforms in Sharing Tacit Knowledge in Innovation Networks
• Development of a Concept Map Evaluation Support System for Social Studies Learning
• Values and Enablers of Lessons Learned Practices: Investigating Construction Industry Context
• Evaluation of the Contribution of Knowledge Management to Efficiency in the Manufacturing Industry Through Machine Learning
• A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals
• Exploring Centralized, Decentralized, and Hybrid Approaches to Micro-Credential Issuance in HEI Alliances
• Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations
• Knowledge Management in Civil Protection at the Example of Fire Brigades
• Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice
• Digital Transformation of B2B Sales Processes
• Sales Development in Business-to-Business Markets
• Importance of Context Awareness in NLP
• Uncertainty Analysis in Population-Based Dynamic Microsimulation Models: A Review of Literature
• Exploring Knowledge Sharing Motivational Factors for Intellectual Property Lawyers: A Conceptual Framework
• How Organizational Improvisational, Transformational Leadership Styles Impact Innovation Performance of Start-Up Companies in VUCA Environments
• Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration
• FAIRlead: A Conceptual Framework for a Model Driven Software Development Approach in the Field of FAIR Data Management
• Knowledge Pyramid Perspective of the Political Data Ecosystem: A Case Study of Bhutan
• Support Learning Design and Analytics with EduP Knowledge Model
• Crafting the Future: Developing and Evaluating a Digital Mindset Competence Model for the Industrial Craft Sector
• Using Formal Concept Analysis for Corpus Visualisation and Relevance Analysis
• ML System Engineering Supported by a Body of Knowledge
• Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets
• Connecting Critical Infrastructure Operators and Law Enforcement Agencies to Share Cyber Incident Information with Early Warning Systems
• Development Areas in Knowledge Management Processes in Social and Health Care Services: A Pilot Study
• Transforming Knowledge Management Using Generative AI: From Theory to Practice
• Predicting Agricultural Product and Supplies Prices Using Artificial Intelligence
• Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis
• DOM-Based Online Store Comments Extraction
• Business Intelligence Solutions Adoption Model for Peruvians SMEs Based on UTAUT2
• The Web Unpacked: A Quantitative Analysis of Global Web Usage
• Prediction Web Application Based on a Machine Learning Model to Reduce Robberies and Thefts Rate in Los Olivos, San Martín De Porres and Comas
• Trust the Data You Use: Scalability Assurance Forms (SAF) for a Holistic Quality Assessment of Data Assets in Data Ecosystems
• Speaking the Same Language or Automated Translation? Designing Semantic Interoperability Tools for Data Spaces
• Technological Model for Cryptocurrency Payments in E-Commerce
• Enterprise Architecture to Optimize the Sales Process Using the TOGAF ADM Cycle in Companies in the Retail Sector
• Utilization of Clustering Techniques and Markov Chains for Long-Tail Item Recommendation Systems
• SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
• Learning to Predict Email Open Rates Using Subject and Sender
• Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks
• Exploiting Data Spatial Dependencies for Employee Turnover Prediction
• An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S
• A Model Driven-Based Approach for Converting Feature Models of Software Product Lines to OWL Ontologies
• Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT
• Investigating the Use of Accessibility Standards in Radio Frequency-Based Indoor Navigation: Challenges and Opportunities in the Development of Solutions for Visually Impaired Individuals
• Is Generative AI Mature for Alternative Image Descriptions of STEM Content?
• Implementing AI for Enhanced Public Services Gov.br: A Methodology for the Brazilian Federal Government
• Towards Interoperability of Systems of Systems Using GraphQL
• Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems
• Enable Business Users to Embed Dynamic Database Content in Existing Web-Based Systems Using Web Components and Generic Web Services
• Moving into Co-Creative Robotics
• OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case
• LLMs Based Approach for Quranic Question Answering
• Construction of a Questionnaire to Measure the Learner Experience in Online Tutorials
• Microfront-End: Systematic Mapping
• Application of Machine Learning Models to Predict e-Learning Engagement Using EEG Data
• A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
• Decentralizing Democracy with Semantic Information Technology: The D-CENT Retrospective
• Analyzing Tweets Using Topic Modeling and ChatGPT: What We Can Learn About Teachers and Topics During COVID-19 Pandemic-Related School Closures
• Analysis: Accessibility of VR Games Could Be Better
• Impact of a Split into Single Items on the Response Rate of the User Experience Questionnaire Short (UEQ-S)
• Improving Recommendation Quality in Collaborative Filtering by Including Prediction Confidence Factors
• Access Control Integration in Sparkplug-Based Industrial Internet of Things Systems: Requirements and Open Challenges
• FASTER-AI: A Comprehensive Framework for Enhancing the Trustworthiness of Artificial Intelligence in Web Information Systems
• SECURER: User-Centric Cybersecurity Testing Framework for IoT System
• Viewpoint Analysis of Autism-Related Comments in Reddit During COVID-19
• Automated Hybrid Ransomware Family Classification
• An Empirical Study to Use Large Language Models to Extract Named Entities from Repetitive Texts
• Using Chat GPT for Malicious Web Links Detection
• Assessing Unfairness in GNN-Based Recommender Systems: A Focus on Metrics for Demographic Sub-Groups
• Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language
• SPACED: A Novel Deep Learning Method for Community Detection in Social Networks
• IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments
• Cybersecurity Testing for Cobots
• ODKAR: “Ontology-Based Dynamic Knowledge Acquisition and Automated Reasoning Using NLP, OWL, and SWRL”
• Towards Developing an Ontology for a Digital Twin in Battery Testing
• Extracting API Structures from Documentation to Create Virtual Knowledge Graphs
• Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure
• Multiple Model Iterative Learning Control of FES Electrode Arrays
• Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems
• Solving the Holed Space Budgeted Maximum Coverage Problem with a Discrete Selection Problem
• Epidemic Modeling and Control: An ARX Approach for Measles Containment
• A Switching Event-Triggered Model Predictive Control for HVAC Systems
• A Neural Network-Based Controller Towards Achieving Near-Natural Gait in Transfemoral Amputees
• HyPredictor: Hybrid Failure Prognosis Approach Combining Data-Driven and Knowledge-Based Methods
• Identification of TITO Systems Using Modified Decentralized Relay Feedback
• Iterative Learning Control for Linear Time-Varying Systems in the Presence of Iteration-Varying Disturbance
• Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System
• Influence of Ship-to-Ship Interaction on Formation Control of Multi-Vessel Systems
• Towards UAV-USV Collaboration in Harsh Maritime Conditions Including Large Waves
• Characteristics-Based Least Common Multiple: A Novel Clustering Algorithm to Optimize Indoor Positioning
• Towards Seamless Digitization in OPC UA
• Reinforcement Learning for Autonomous Headland Turns
• A Decentralized Guaranteed Collision Avoidance Control Framework for Multi-Vehicle Systems in Highly Constrained Spaces
• Implementation of 12 Transition Controls for Rotary Double Inverted Pendulum Using Direct Collocation
• Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
• Memory-Based Learning of Global Control Policies from Local Controllers
• Solving Multi-Agent Pathfinding with Stochastic Local Search SAT Algorithms
• SkRobot with TeleoR/QuLog: A Pseudo-Realtime Robotics Data Distribution Service Extended with Production Rules and Reasoning
• Nanosensors for Soft Robotics Exoskeletons
• Application of the Schur Complement in Sum of Squares Optimisation
• Multi-Step Simulation Improvement for Time Series Using Exogenous State Variables
• A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications
• On the Role of Artificial Intelligence Methods in Modern Force-Controlled Manufacturing Robotic Tasks
• Towards Increasing Robot Autonomy in CHARM Facility: Network Performance, 3D Perception, and Human Robot Interface
• Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model
• A Modified Sandpile Model for Simulating Lava Fountains at Mt Etna
• Comparison of Lateral Controllers for Autonomous Vehicles Based on Passenger Comfort Optimization
• A Hybrid Constraint- and Search-Based Approach on the Stockyard Planning Problem
• Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach
• Subsurface Metallic Object Detection Using GPR Data and YOLOv8 Based Image Segmentation
• Optimizing Small-Scale Surgery Scheduling with Large Language Model
• Multi-Risk Assessment and Management in the Presence of Personal Light Electric Vehicles
• A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology
• Towards a Modular Human-Robot Safety Control System Using Petri Nets
• 0-DMF: A Decision-Support Framework for Zero Defects Manufacturing
• Deep-CNN with Bacterial Foraging Optimization Based Cascaded Hybrid Structure for Diabetic Foot Ulcer Screening
• Study of the Influence of a Force Bias on a Robotic Partner During Kinesthetic Communication
• Data-Driven Predictive Maintenance for Component Life-Cycle Extension
• Using Imitation Learning to Implement Control Orchestration for Smart Chassis
• Enhancing Visual Odometry Estimation Performance Using Image Enhancement Models
• Water Optimization in Digital Farming
• Safety Assessment of Human-Robot Collaborations Using Failure Mode and Effects Analysis and Bow-Tie Analysis
• Combating Agricultural Challenges with Secure Digital Farming
• Dynamic Position Estimation and Flocking Control in Multi-Robot Systems
• A New Observer-Based Fault Tolerant Shared Control for SbW Systems with Actuator Fault for Driver Assistance
• Q-Learning Based LQR Occupant-Centric Control of Non-Residential Buildings
• Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks
• An Approach for Fractional Commensurate Order Youla Parametrization using q-weighted Operator
• Using Shapley Additive Explanations to Explain a Deep Reinforcement Learning Agent Controlling a Turtlebot3 for Autonomous Navigation
• Third Order Super Twisting Based Robust Tracking of 2-DOF Helicopter with State Estimation
• Moving Horizon Planning and Control for Autonomous Vehicles with Active Exploration and Fallback Strategies
• A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture
• Data-Driven Intrusion Detection in Vehicles: Integrating Unscented Kalman Filter (UKF) with Machine Learning
• Motion Control Unit Design for Control Prototyping of Modern BLDC/PMSM Drives and Piezo Actuators
• Automatic Control and Health Monitoring of a 3-Dimentional Overhead Crane with Minimally Required Sensor Devices
• Validated Uncertainty Propagation for Estimation and Measure Association, Application to Satellite Tracking
• Identifying Kinetic Model Parameters and Implementing 3-DOF Control for a Dual-Thruster USV: A Case Study Using the VRX Simulation Environment
• Epidemic Impact of Temporary Large People Mass Fluxes: The COVID-19 and the Jubilee 2025 Reference Case
• Potato Leaf Disease Detection Approach Based on Transfer Learning with Spatial Attention
• Modelling and Simulation of an Autonomous Pod-Tethered Quadcopter Drone System for Aviation Applications
• Semantic Segmentation with GLCM Images
• Modelling and Analysis of Spread Characteristics of Arbovirus Infections
• Sliding Mode Control for Inverse Response Systems: A Trajectory Tracking Study
• Computing Bounds for the Synchronization Errors of Nonidentical Nonlinear Oscillators with Time-Varying Diffusive Coupling
• Modeling Sunlight in Gazebo for Vision-Based Applications Under Varying Light Conditions
• A Tool for Mass Generation of Random Step Environment Models with User-Defined Landscape Features
• A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters
• Miniature Autonomous Vehicle Environment for Sim-to-Real Transfer in Reinforcement Learning
• Visual Servoing for Vine Pruning Based on Point Cloud Alignment
• Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants
• In-Depth Analysis of Recall Initiators of Medical Devices with a Machine Learning-Natural Language Processing Tool
• Local Motion Planning for Overtaking Maneuvers in a Rural Road Environment
• A Case Study in Building 2D Maps with Robots
• Multimodal 6D Detection of Industrial Pallets, in Real and Virtual Environments, with Applications in Industrial AMRs
• Automated Detection of Defects on Metal Surfaces Using Vision Transformers
• Uncertainty-Aware DNN for Multi-Modal Camera Localization
• Autonomous Forklift Navigation Inside a Cluttered Logistics Factory
• Development of a Lithium-Ion Battery Lifetime Prediction Model Using Deep Learning for Short-Term Learning
• Control of Fixed-Wing Tethered Aircraft in Circular Take-Off and Landing Maneuvers
• A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments
• NODE and Contraction Methods for Dynamics Learning from Human Expert Demonstrations
• Nonlinear Control and State Estimation for the Hand Axes of a Pneumatic Robot
• Knowledge Graph Extraction from Retrieval-Augmented Generator: An Application in Aluminium Die Casting
• Spray Quality Assessment on Water-Sensitive Paper Comparing AI and Classical Computer Vision Methods
• RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
• A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments
• Does Path Tracking Benefit from Sequential or Simultaneous RL Speed Controls?
• Triplet Neural Networks for the Visual Localization of Mobile Robots
• Video Summarization Techniques: A Comprehensive Review
• Cooperation and Synchronization of Robotic Tasks Using a Digital Twin
• A Vision Based System for Assisting Blind People at Indoor and Outdoor Exploration
• Uncertainty Hypervolume in Point Feature-Based Visual Odometry
• Evaluation of Open-Source OCR Libraries for Scene Text Recognition in the Presence of Fisheye Distortion
• Advanced Techniques for Corners, Edges, and Stacked Gaps Detection and Pose Estimation of Cardboard Packages in Automated Dual-Arm Depalletising Systems
• Setting up a Digital Twin for Real-Time Remote Monitoring of a Cyber-Physical System
• Multi-Modal Deep Learning Architecture Based on Edge-Featured Graph Attention Network for Lane Change Prediction
• Model-Based Digital Twin for Collaborative Robots
• Low-Cost Robot Construction Focused on Educational Environments
• Streamlining Data Integration and Decision Support in Refinery Operations
• Unscented Transform-Based Pure Pursuit Path-Tracking Algorithm Under Uncertainty
• Applying a Systematic Approach to Design Human-Robot Cooperation in Dynamic Environments
• Human-Robot Cooperation in Disassembly: A Rapid Review
• Intuitive Human-Robot Interface: A 3-Dimensional Action Recognition and UAV Collaboration Framework
• Drone Technology for Efficient Warehouse Product Localization
• EMG-Based Shared Control Framework for Human-Robot Co-Manipulation Tasks
• Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies
• A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists
• LiDAR-Based Object Recognition for Robotic Inspection of Power Lines
• CRANEBot: Teleoperated Crane-Suspended Robotic System for Inspection and Manipulation in Harsh Environments
• Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment
• Asset Administration Shell Digital Twin of 5G Communication System
• Augmented Feasibility Maps: A Simultaneous Approach to Redundancy Resolution and Path Planning
• Automated Mission Management of Small Unmanned Aircraft Systems for Critical Events in Urban Air Traffic
• HERA Centroiding Image Processing Algorithm Based on the Normalised Correlation with a Lambertian Sphere
• Software Toolchain for Offline-Programming a Jig-Less Fiber Placement Process Using Cooperating Robots
• Evaluating Diversification in Group Recommendation of Points of Interest
• Soft Querying JSON Datasets with Personalized Preferences and Aggregations
• Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution Strategy
• Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming
• Working on the Structural Components of Evolutionary Approaches
• Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment
• Generating Small Instances with Interesting Features for the Traveling Salesperson Problem
• Control of Biohybrid Actuators Using Neuroevolution
• Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite
• Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time Dependencies
• Educational Evolutionary Neural Architecture Search for Time Series Prediction
• Genetic Programming for 5×5 Matrix Multiplication
• Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search
• A Simple yet Effective Algorithm for the Asteroid Routing Problem
• Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem
• Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification
• Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning
• Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration
• Open Source Evolutionary Computation with Chips-n-Salsa
• Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation
• A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems
• Step Size Control in Evolutionary Algorithms for Neural Architecture Search
• Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer
• Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes
• Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets
• Optimizing Genetic Algorithms Using the Binomial Distribution
• Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning
• Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression Models
• Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
• Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization
• Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem
• A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods
• Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets
• Fractal Analysis of the Subset-Sum Problem
• L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem
• Neuromorphic Encoding / Decoding of Data-Event Streams Based on the Poisson Point Process Model
• Computer Vision Based Smart Security System for Explainable Edge Computing
• Graph Hierarchy and Language Model-Based Explainable Entity Alignment of Knowledge Graphs
• Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images
• Fitness Landscape Analysis of a Cell-Based Neural Architecture Search Space
• Feature Importance for Deep Neural Networks: A Comparison of Predictive Power, Infidelity and Sensitivity
• XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images
• Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation
• Prediction of Alzheimer Disease on the DARWIN Dataset with Dimensionality Reduction and Explainability Techniques
• LLM-Generated Class Descriptions for Semantically Meaningful Image Classification
• Design of an Iterative Method for Deep Multimodal Feature Fusion in Heart Disease Diagnostics Utilizing Explainable AI
• TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
• Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing
• Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach
• Monitoring and Control of Power Preparedness of Athletes in Flatwater Rowing and Canoeing Using Strain Gauges
• Healing the Everyday Athlete, Evaluating the Impact of Recovery Wear Garment Use on Musculoskeletal Health in an Occupational Setting
• Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis
• Real-Time Tactical Analysis: Leveraging GNSS Position Data for Tactical Behavior
• Design and Implementation of a Stone Rotation Measurement System with IMU Sensor and Stone Behavior Presentation System
• Sensor Module Application in the Design of an Automatic Tabletop Hockey Product Prototype for Leisure Activities and Mental Fitness
• Punch Type Classification and Hit Judgement Using Estimated Skeletal Model in Boxing Match Videos
• Assessing Physical Activity Levels While Playing Virtual Reality Exergames: A Pilot Study
• Optimizing Youth Basketball Training Through the Novel and Entertaining Approach of Self-Perception Evaluation Channel
• Biomechanics of the Lower Extremity in Youth Football League: FIFA 11+ One Leg Squat Analysis
• Towards a Smart Luge that Measures Steering Input of the Rider
• Synthetic Data for Foot Strike Angle Estimation
• 5G-Based Body Sensor Network for Real-Time Feedback in Running
• SportsNGEN: Sustained Generation of Realistic Multi-Player Sports Gameplay
• A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video
• The Stress Is Real: Physiological Measurement of League of Legends Players Experience During a Live Esports Event
• The Effects of Exergaming on Executive Functions in Children with ADHD: A Protocol of Systematic Review and Meta-Analysis
• Performance Analysis in Volleyball: Problem of Merging Attack and Counterattack Spike as One Variable
• Analysis of the 'Zero Step' IHF Handball Rule 7.3.d. in Open and Closed Motor Performance Program
• Analyzing Factors that Lead to NBA Regular Season Success
• Characterizing Locomotor Activity and Internal Load in VR-Based Exergames for Post-Musculoskeletal Injury Rehabilitation
• A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video
• The Development of Automatic Training Analysis Using 3D Accelerometer in Male Young Elite Soccer Team
• Data Visualization for Dynamic Strength Index: A Qualitative Approach for Enhanced Interpretation and Decision-Making
• Y–Balance Test in Female Gymnasts
• Evaluating Sensor Placement and Feature Importance for Hurling Movement Classification
• autoWT: A Semi-Automated ML-Based Movement Tracking System for Performance Tracking and Analysis in Olympic Weightlifting
• Enhancing Speed Climbing Performance and Optimizing Training Methods Through Advanced Video Analysis
• Impact Distance Detection in Tennis Forehand by an Inertial System
• Development of a Simple Tracking System to Monitor Curling Stone Dynamics
• Creation of Training Data and Training for Prediction Model of Curling Scores Using Real Game Data
• Quantification of Visual Search Motion During Basketball in VR Simulation
• Estimation of Overlapped Tactical Actions from Soccer Match Video
• Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI
• AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power Plants
• Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network
• Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture
• Invertibility of ReLU-Layers: A Practical Approach
• Online Match Prediction in Shogi Using Deep Convolutional Neural Networks
• Quantum Neural Network Design via Quantum Deep Reinforcement Learning
• A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring
• A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions
• A Comparison of Advanced Machine Learning Models for Food Import Forecasting
• Unsupervised Feature Selection Using Extreme Learning Machine
• Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks
• Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric Finalization
• Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
• Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks
• Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs
• Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models
• Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations
• LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments
• Predictive Models for United States House Prices
• Ensemble Learning Based Models for Planet Classification
• Analysis and Evaluations for the Detection Results of the Advanced Telescopes
• Research on Asset Allocation Based on Quantitative Investment
• Research of Machine Learning and Feature Selection in Wine Quality Prediction
• Stock Prediction Based on Traditional Statistical Models, Machine Learning Models and Fusion Models
• Searching Extra-Planet Based on Radial Velocity, Transit and Direct Imaging
• The Prediction of Feedback with Demographics & Locations of Users in Online Food Delivering Based on Machine Learning Models
• Research on the Correlation Between Multiple Risk Factors and Diabetes Mellitus
• Analysis and Comparison of the State-of-Art Telescopes: Evidence from JWST, EHT and FGST
• Research on Housing Prices Forecasts Based on A Multiple Linear Regression Model
• Stock Price Prediction Based on CNN, LSTM and CNN- LSTM Model
• Geological Features of Geographical Biomes and Their Environmental Impact
• Research on the Influence Factors that Possibly Lead to Diabetes
• Predicting New York Housing Prices: A Comparative Analysis of Machine Learning Models
• Probing Candidates for Dark Matter: Evidence from WIMPs and Axions
• Machine Learning-Based Wine Quality Predictive Modelling
• Machine Learning Methods for Heart Disease Prediction
• Probing Life with Planet Searching and Habitat Evaluation: Evidence from Moon, Mars and WASP-96b
• Decision of Production Combinations Based on Cournot Model and Linear Programming
• Transmission Analysis and Future Trend Prediction of Deyr City's B1H3 Virus by SIR Modelling
• Word Stand or Hit: Simulation of Blackjack by Programming
• Understanding Secondary Forests: From Definitions to Regional Case Studies in China
• Water System Evolution and Influencing Factors in Wuhan City over the past 40 Years via Remote Sensing
• Principle and Applications of Telescopes: Refracting, Reflecting and Catadioptric Telescopes
• Unveiling the Invisible: The Interplay Between Dark Matter and Dark Energy in Cosmic Evolution
• Research on Traffic Violation Factors in Vehicle Insurance Pricing Based on Generalized Linear Model
• Application of Game Theory in Option Pricing: A Binomial Tree Model Approach
• Studying Land Evolution Patterns and Influencing Factors in Wuhan City over the Past 40 Years Using Remote Sensing
• Research on Factors Influencing Indoor Air Quality in Houses: Case Study of Shanghai
• Red Wine Prediction Comparing Several Machine Learning Models
• Monitoring Spatiotemporal Distribution Characteristics of Air Pollutants in Tianjin by Satellite Remote Sensing
• Climate Change and Coastal Line Shifts: Advances in Remote Sensing Monitoring
• Analysis the Principle and the State-of-Art Scenarios for Asteroid Detection
• Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date
• Axion-Like Particles and Their Cosmological Consequences
• The Role of Dark Matter in Galaxy Formation and Evolution
• Probing Exoplanets Based on Transit, Radial Velocity and Direct Imaging
• The Study on the Influencing Factors of Housing Price
• The Role of Remote Sensing in Surveillance and Assessment of Climate Change
• Searching Dark Matter Candidate Based on the State-of-Art Facilities: Evidence from WIMPs and ALPs
• Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
• Leveraging AI to Mitigate Risks in Yoga Practice: A Real-Time Posture Correction Application
• Recent Extraction and Spatial Analysis of Yangtze River Estuary Coastline Using Multi-Source Remote Sensing Data
• Comparative Analysis of Machine Learning Models for Stroke Risk Prediction
• Stock Price Prediction Based on Deep Learning
• Prediction of the West Texas Intermediate Crude Oil Price Using ARIMA Model and ARIMA-GARCH Model
• Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes in Shanghai
• Analysis of the State-of-Art Observations for Gravitational Wave Searching
• Developing an Artificial Intelligence Model to Enhance the Emotional Intelligence of Motor Vehicle Drivers for Safer Roads
• Building Atlas of Knowledge Maps: Towards Smarter Collaboration
• A Model for Designing Personalized and Context-Aware Nudges
• REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
• Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University
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