-
An Event-Driven Closed-Loop Ultrasound Stimulator Composed of a Micro-Transducer and Multi-Site Electrodes in Vitro
-
Concentric Ring Tattoo Electrodes for Biosignal Recordings
-
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
-
Bone-Aware Generative Adversarial Network with Supervised Attention Mechanism for MRI-Based Pseudo-CT Synthesis
-
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
-
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
-
Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk
-
Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response
-
USTAR2: Fast and Succinct Representation of k-mer Sets Using De Bruijn Graphs
-
Compositional Techniques for Asynchronous Boolean Networks
-
Deep Learning in Breast Calcifications Classification: Analysis of Cross-Database Knowledge Transferability
-
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
-
Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge
-
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
-
An Improved PUF-Based Privacy-Preserving IoT Protocol for Cloud Storage
-
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
-
Secure Audio Watermarking for Multipurpose Defensive Applications
-
Uncovering Bad Practices in Junior Developer Projects Using Static Analysis and Formal Concept Analysis
-
Exploring Social Sustainability Alignment in Software Development Projects
-
Exploring Perspectives of Students on Using Mobile Apps to Improve English Vocabulary Through Youtube Videos: A Comparative Study
-
Analysing the Effectiveness of a Social Digital Repository for Learning and Teaching: A Fuzzy Comprehensive Evaluation
-
Association Rule Learning Based Approach to Automatic Generation of Feature Model Configurations
-
IRatePL2C: Importance Rating-Based Approach for Product Lines Collaborative Configuration
-
What Do Customers Demand? Inclusive and Sustainable Entrepreneurial Marketing
-
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
-
A Knowledge Base of Argumentation Schemes for Multi-Agent Systems
-
From Data to Insights: Research Centre Performance Assessment Model (PAM)
-
Exploring Strategies to Mitigate Cold Start in Recommender Systems: A Systematic Literature Mapping
-
Heterogeneous Data Integration: A Literature Scope Review
-
Extending Semantic RML Mappings with Additional Source Formats
-
Generalizing Conditional Naive Bayes Model
-
What to Do when Privacy Issues Screw It Up: Ingestion Refactoring in a Big-Data Pipeline
-
Text-to-SQL Meets the Real-World
-
An Alternative Way to Analyze and Predict Consonant Clusters Productions in Brazilian Portuguese Phonological Assessments
-
The Traveling Tournament Problem: Rows-First versus Columns-First
-
MfCodeGenerator: A Code Generation Tool for NoSQL Data Access with ONM Support
-
Occupational Accidents Prediction in Brazilian States: A Machine Learning Based Approach
-
EmbedDB: A High-Performance Time Series Database for Embedded Systems
-
GraphVault: A Temporal Graph Persistence Engine
-
Towards an Algorithm-Based Automatic Differentiation of Liability Cases by Analyzing Complaint Texts
-
An Integrated Decision Support System for Intra-Logistics Management with Peripheral Storage and Centralized Distribution
-
A Decision Support System Based on a Mixed-Integer Linear Programming Model for Location of Routers in Open-Pit Mines
-
Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images
-
Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining
-
A Visual Analysis Approach to Static Postural Control Acquired by a Force Plate
-
KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method
-
Similarity-Slim Extension: Reducing Financial and Computational Costs of Similarity Queries in Document Collections in NoSQL Databases
-
Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents
-
A Reflective Architecture for Agent-Based Models Applied to Social Network Sites
-
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
-
Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology
-
A Web-Based Hate Speech Detection System for Dialectal Arabic
-
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
-
Design Features for Data Trustee Selection in Data Spaces
-
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
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Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology
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Forecasting the Future Development of ABCtronics: A Comprehensive Analysis
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Machine Learning-Based Steam Platform Game's Popularity Analysis
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Application Research of Substation Power Inspection Robot Based on Image Recognition Technology
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Comparative Analysis of Predictive Models for Estimating Body Fat Percentage Using Three Models
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Investigation of Advancements in Machine Learning Algorithms for Accented Speech Recognition
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Research on Weld Tracking Based on Machine Vision
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Research on the Control of the end Effector of the Large-Scale Curved Surface Compliant Polishing Robot
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Comparative Analysis of Different Deep Learning Models on Face Recognition Tasks
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Compare of Linear Regression Model and LSTM Neural Network in Machine Learning
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Deep Learning-Based Prediction and Analysis of Highway Traffic Flow near Airports
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Using GIS Machine Learning Technique to Analysis Road Safety near Parks
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Exploration and Discussion for Bitcoin Encryption Algorithms
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The Investigation of Fully Homomorphic Encryption: Techniques, Applications, and Future Directions
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Explore the Impact of Live Marketing on Contemporary Consumption Concepts
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Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment
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Multi-Factor Stock Selection Strategy Based on Network Sentiment Analysis
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Game Classification and Analysis Based on Machine Learning-Based Methods
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Races in Extended Input/Output Automata, Their Compositions and Related Reactive Systems
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Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project
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The Investigation of Progress Related to Harmful Speech Detection Models
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Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis
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Ensembled Learning Based Model for Bank Churn Prediction
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Deep Learning-Driven Personalized Recommender Systems: Theory, Models, and Future Directions
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Word Frequency Counting Based on Serverless MapReduce
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The Progress of Shopping Recommendation System Based on Machine Learning Algorithms
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Research on Neural Network-Based Achievement Prediction of Middle School Students
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Analysis of Health Status of Alcoholic Students Based on the Gradient Boosting Decision Tree
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Strategic Imperatives for Tesla: A SWOT Analysis of Market Position and Technological Innovation in the Electric Vehicle Industry
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Comparative Research on Performance of Image Recognition and Classification Using VGG16 with Different Features
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Prediction of Heart Failure Occurrence Based on the Categorical Boosting Model
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Research on Traffic Flow Prediction Based on ARIMA Model
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Advancements of Graph Neural Networks in Urban Traffic Prediction
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Sustainability Meets Efficiency: Unveiling the Dual Impact on Supply Chain Performance in the Retail Sector. A Case Study of JB Hi-Fi
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Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future
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AI in Personalized Health Management: Practices and Challenges
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The Comprehensive Investigation of Lung Disease Classification Based on SGD
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Consumer Personality Analysis: Tailoring Marketing Strategies for Diverse Segments
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The Investigation of Real-Time Credit Card Fraud Detection (RTCCFD) Based on Machine Learning and Apache Spark
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Ensemble Learning Based Models and Deep Learning Model for Credit Prediction, Case Study: Taiwan, China
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Efficient Image Classification Using ReXNet: Distinguishing AI- Generated Images from Real Ones
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Sentiment Analysis in Analyzing Monkeypox-Related Tweets Based on Deep Learning
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Value Co-Creation in the Era of Social Networking: Exploring the Social Commerce Value Creation Model Based on Xiaohongshu
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Image Discrimination and Parameter Analysis Based on Convolutional Neural Networks (CNN)
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Adaptive Recommendation System Strategies: An Exploration of Online Machine Learning Algorithms
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Word Frequency Statistics Based on Serverless Computing
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Research on the Impact of Expanding Cross-Border e-Commerce Business on e-Commerce Enterprises: A Case Study of Pinduoduo and Jingdong
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Analysis of the Functions of Database Information Management System: Taking the User Health Record Platform as an Example
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Optimizing Database Management Systems: Techniques and Challenges in the Information Age
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Satisfaction Analysis of Airline Passenger Experience
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Machine-Learning-Based Prediction of Obesity
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Advancements of Football Data Analysis Based on Machine Learning Algorithms
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Comparison and Analysis of Large Language Models Based on Transformer
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Enhancing Image Generation with Diffusion Transformer Architecture
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Analysis of Generative Adversarial Networks (GANs) and Their Variants Based on Encoders and Decoders
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The Challenges, Strategies, and Roles of Database Technology in the Big Data Era: A Case Study of the Push System in E-Commerce
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Application of Artificial Intelligence in Stroke Prediction: Latest Advancements and Future Prospects
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Advancements in Facial Expression Recognition: A Comparative Study of Traditional Machine Learning and Deep Learning Approaches
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Retrieval-Augmented Generation Solutions for Typical Application Process Issues
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Research on Green Supply Chain Optimization of Fresh Food e-Commerce Platform Under New Retail Mode: Taking Fresh Hema as an Example
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Image Classification Based on Federated Learning and PFLlib
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Research on Hotel Reservation Customer Churn Based on Deep Neural Networks
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Supermarket Management Information System Development and Current Situation: A Comparative Analysis of Large and Small and Medium-Sized Supermarkets
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Investigation on the Self-Improving Algorithm of TikTok Based on Extensive User Interactions
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Machine Learning for Enhanced Heart Disease Prediction: A Comprehensive Classifier Evaluation
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The Impact of AI on Business Students’ Career Choices
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Research on Digital Transformation Path and Development of the e-Commerce Industry: Taking Alibaba as an Example
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RARN: Lightweight Deep Residual Learning with Attention for Human Emotions Recognition
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Defending Language Models: Safeguarding Against Hallucinations, Adversarial Attacks, and Privacy Concerns
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Exploration vs. Exploitation: Comparative Analysis and Practical Applications of Multi-Armed Bandit Algorithms
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The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms
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Flower Classification and Key Parameter Analysis Based on ViT
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Network Flow of Graph Theory and Its Application
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Enhanced Multi-Attribute Fashion Image Editing Using Vision Transformer-Guided Diffusion Models
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Decoding Weibo Sentiments: Unveiling Nuanced Emotions with Bidirectional LSTM Analysis
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Cardiovascular Disease Prediction Based on Machine Learning
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The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition
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Virtual Try on Application and Parameter Analysis Based on Clothing Warping and Masking Technology
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Digital Supply Chain Improves the Performance of e-Commerce Enterprises
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The Effect of Price on E-Commerce Platforms: Statistical Evaluation of Amazon's Pricing Strategy
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Refined Object Detection: Integrating C2f and SE Mechanisms in YOLOv5
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The Advancements of Convolutional Neural Networks on Cerebral Hemorrhage Detection
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Multiple GPUs-Based Distributed Learning for Classification of Breast Cancer Images
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Artificial Intelligence in Cardiac Disease Diagnosis: A Comprehensive Investigation
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Analysis of ZEEKR New Energy Vehicle Marketing Strategy
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Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects
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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
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Exploring the Silver Screen: A Comparative Study of UCB and EUCBV Algorithms in Movie Genre Recommendation
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How Does AI Impact Supply Chain Effectiveness?
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Transformer-Based Fine-Tuning and Zero-Shot Learning for Image Classification
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Progressing Toward Smart Brain Hemorrhage Detection: Machine Learning-Based Advanced Medical Imaging Technologies
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Enhancing Object Detection with YOLOv8 Transfer Learning: A VOC2012 Dataset Study
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Performance Comparison and Analysis Between MOON and FedProx in Image Classification
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The Comprehensive Investigation of Machine Learning-Based Patient Brain Stroke Prediction
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Combining MapReduce and Serverless Computing for Efficient Word Frequency Statistics
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Efficacy and Efficiency in Object Detection: Exploring YOLOv9 on Limited Resources
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An Investigation of Studies on Spam Filtering Based on Machine Learning
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Exploring the Potential of Artificial Intelligence in English Education
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Difficulties Faced by SMEs and Traditional Industries in Digital Intelligent Transformation under the Background of Digital Intelligent Transformation and Suggestions
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Enhancing Intelligent Vehicle Lane-Change Strategies Based on Deep Reinforcement Learning
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Enhanced Pneumonia Detection in Chest X-Rays Based on Integrated Denoising Autoencoders and Convolutional Neural Networks
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Deep Learning-Based Algorithms in Solving Traffic Jam in Smart Transportation
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Examine the Impacts of the Coronavirus Crisis on Vegetable Pricing
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The Research About the Relationship Between Express Delivery and Business Revenue in China
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The Development and Technical Research and Analysis of Image Classification
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Advancements of Deep Learning-Based Pneumonia Chest Classification
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YOLOv8-Based Framework for Accurate Lung CT Nodule Images Detection
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Medical Image Classification Based on Transformer Model and Ordinal Loss
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Research on Face Recognition Technology Based on Real-World Application Scenarios
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Analysis of Luckin's Brand Joint Strategy
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Advancements in Machine Learning for Network Anomaly Detection: A Comprehensive Investigation
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Application and Analysis of Black and White Image Coloring Based on Generative Adversarial Networks (GANs)
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Comparative Analysis of Brain Tumor Classification and Models Based on VGG16
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Under the Impact of e-Commerce, the Operation Strategy of Physical Clothing Stores
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Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis
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Application of Data Mining Techniques to Supermarket Databases
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A Study on Multi-Arm Bandit Problem with UCB and Thompson Sampling Algorithm
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Convolutional Neural Networks (CNNs)-Based for Medical Image Analysis
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Enhancing Recommendation Systems with Stochastic Processes and Reinforcement Learning
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Federated Learning-Based EfficientNet in Brain Tumor Classification
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Assessment and Optimization of Social Media Marketing Strategies: A Case Study of Xiaohongshu
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Enhancing Cybersecurity in Healthcare: Machine Learning and Deep Learning Strategies for Intrusion Detection on the Internet of Medical Things
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Advances in Pneumonia Detection: A Comprehensive Investigation of Federated Learning and Deep Learning-Based Approaches
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Optimizing Credit Card Fraud Detection with Multi-Armed Bandit Algorithms
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The Investigation of the Application of Apache Spark in Stock Analysis
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Deciphering Spam Through AI: From Traditional Methods to Deep Learning Advancements in Email Security
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Optimizing Privacy and Processing: Navigating Federated Learning in the Era of Edge Computing
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Enhancing Facial Expression Recognition and Analysis with EfficientNetB7
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The Comparison of Diabetes Risk Prediction Accuracy Across Different Models
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Predictive Assessment of Heart Disease Based on Multiple Machine Learning Models
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Advancing House Price Forecasting: Linear Regression and Deep Learning Models Analysis
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Research Advanced in Personalized Federated Learning
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Heart Disease Prediction Using Gradient Boosting Decision Trees
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Enhancing Recommendation Systems Through Contextual Bandit Models
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Inheriting Thompson Sampling for Movie Recommendation
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Research Advanced in Federated Learning
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A New Perspective on the Treatment of Ovarian Cancer: Deep Learning Algorithms-Based Prediction
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Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples
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Advancements in Pancreatic Cancer Detection: A Comprehensive Investigation of Convolutional Neural Network Applications
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Future Development of Information Management Systems Based on Big Data Technology, Artificial Intelligence Technology and Cloud Computing
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Analysis of Upper Confidence Boundary Algorithms for the Multi- Armed Bandit Problem
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Machine Learning-Based Stroke Prediction
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Systematic Investigation on Deep Learning Network in Skin Cancer Diagnosis
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A Comparative Study on the Influencing Factors of the Large Chinese and Foreign Shipping Companies’ Stock Price
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Chat GPT in Education: Applications, Impacts, and Future Prospects
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An Analysis of Customer Churn Prediction in Different Business Industries
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Improving the Performance of Deep Q Network in Decision Making Environment: Applying Multi-Head Attention into DQN
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Federated Learning-Based Face Recognition: Methods, Challenges and Future Prospects
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Forecasting Demand of Shared Bikes Based on ARIMA Model
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Research and Parameter Setting Recommendations for the UCB Algorithm Based on Advertisement Deployment on the Amazon Website
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AI-Based Methods of Cardiovascular Disease Prediction and Analysis
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Advancing Lung Cancer Diagnosis: Federated Learning-Based Privacy Innovations
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Joint C2f and Joint Loss Object Detection Based on YOLOv5
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CNN-Based Facial Emotion Recognition: Modeling and Evaluation
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Wildlife Species Classification on the Edge: A Deep Learning Perspective
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Deep Learning and Machine Learning Based Facial Expression Recognition Employed in Mental Health
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A Conceptual Model of Blended Learning in the Context of Digital Teaching and Learning Transformation
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Research and Application of Domain Knowledge Discovery Based on GPT
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Positioning Method of Four-Wheel Drive Robots Based on Multi-Sensor Fusion and Improved Adaptive Monte Carlo Algorithm
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Design and Experimental Study of Rail Degaussing System Based on Permanent Magnet
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Analysis and Application of College Students' Network Behavior Based on Data Mining
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Traffic Flow Prediction Model Based on BDBO-TCN
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Fault Diagnosis of Process Systems Based on Graph Neural Network
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Power Quality Monitoring Device of EMU Traction Network Based on Zynq
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A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China
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Improved DETR-Based Detection of Icing and Snow on Aircraft Surfaces
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Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion
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Analysis of an Event-Driven Data Relay Based Approach in Ramp Patrols
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A Text Summarization Model Based on Dual Pointer Network Fused with Keywords
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Elevator Passenger Abnormal Behavior Recognition Method Based on Digital Twin
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Research on Maneuver Decision of Unmanned Combat Aerial Vehicles Based on Segmented Reward Function and Improved Deep Q-Network
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A Parameter-Free Self-Training Algorithm for Dual Choice Strategy
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Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students
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Text Mining and Sentiment Classification for Logistics Enterprises Evaluation Based on BERT
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Research on Valve Network Model for Complex Industrial Pipeline Networks
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Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory
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Random Forest Classification of Cognitive Impairment Using Digital Tree Drawing Test (dTDT) Data
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A Decoupled Graph Convolutional Network with Dual Adaptive Propagation Mechanism for Homophily and Heterophily