• Developing a Head-Attached Interface Device for Closed-Loop Transcranial Ultrasound Stimulation in the Mouse Brain
  • White Light Spectroscopy for Mammalian Cell Viability/Quality Assessment: Towards an Online, Label-Free and Sampling-Less System to Simplify Quality Control in CAR T-Cells Production
  • Simulation and Evaluation of Thermal Effects Under MRI for Cochlear Implants
  • Electrical Response of Bacteria Cells in Water as Detection Mechanism
  • Heat Transfer in Laparoscopic Trocar System: Analytical and Numerical Study
  • Modeling of an Electric-Based Defogging System for Laparoscopy
  • Sorting Circulating Tumor Cells: A Low Flow Microfluidic Pre-Enrichment Function for Improved Separation in Serial Two-Stage Sorting Device
  • STELLA+: Expanding the Research Potential for Long-Term Deep Brain Stimulation Studies in Freely-Moving Rodents
  • A Brief Discussion on PDMS Surface Wettability Enhancement Methods for Microfluidic Applications
  • Towards AI-Based Kinematic Data Analysis in Hand Function Assessment: An Exploratory Approach
  • Embedded System for Responsive Optogenetic Control of Spontaneous Seizures in a Preclinical Temporal Lobe Epilepsy Model
  • The Bigger the Better? Towards EMG-Based Single-Trial Action Unit Recognition of Subtle Expressions
  • Electrical Properties of Filled PVA-C for Bioelectrical Impedance Spectroscopy Phantoms
  • Low Power Logarithmic Current-to-Digital Converter (CDC) Inspired by Molecular Genetic Processes for Biomedical Applications
  • Development of WHO Guideline-Complying CD4 Diagnostic Chip
  • Design and Implementation of Capacitive Drip Rate Monitoring Sensor for Intravenous (IV) Administration
  • Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions
  • The 3D Printing Center for Health: Advancing Personalized Healthcare Solutions Through Additive Manufacturing
  • Investigation on Microliter Free Jetting Using a Piezoelectric Micro Pump
  • An Easy-to-Implement Multi-Channel Stepper Motor Control System Based on MCU and FPGA
  • Evaluating Time-Constant Models in Electrodermal Activity Using Continuous Multi-Frequency Impedance Spectroscopy
  • Sweat Quantification During Electrodermal Analysis Combining Paper-Based Microfluidics with Printable Electrodes: Design and Materials
  • Enhancing Image Quality to Improve Medical Image Classification: Application to Nuclear Medicine Planar Images
  • OCTA Image-Based Machine Learning Models for Discriminating Alzheimer’s Disease from Neurodegenerative and Ocular Conditions
  • Retinoblastoma Detection: Leveraging Deep Learning and Residual Connections for Enhanced Diagnostic Accuracy
  • Analysis of 3D Urticaceae Pollen Classification Using Deep Learning Models
  • Assessing the Influence of a CADx Scheme on Radiologists' Analysis of Breast Nodules in Digital Mammography Using Specialized Feedback Software
  • Bioimages Synthesis and Detection Through Generative Adversarial Network: A Multi-Case Study
  • 3D View Reconstruction from Endoscopic Videos for Gastrointestinal Tract Surgery Planning
  • Preliminary Results on Using Clustering of Functional Data to Identify Patients with Alzheimer’s Disease by Analyzing Brain MRI Scans
  • Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study
  • Deep Learning-Based Classification of Stress in Sows Using Facial Images
  • Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study
  • DEMIS: Electron Microscopy Image Stitching Using Deep Learning Features and Global Optimisation
  • U-Net in Histological Segmentation: Comparison of the Effect of Using Different Color Spaces and Final Activation Functions
  • Stratum Corneum Light Confinement: Monte Carlo Verification
  • 3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models
  • Using MIRNet for Low Light Image Enhancement
  • A Real-World Segmentation Model for Melanocytic and Nonmelanocytic Dermoscopic Images
  • Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks
  • Using Machine Learning to Identify Crop Diseases with ResNet-18
  • First Results on Graph Similarity Search in Resting-State Functional Connectivity Networks Using Spectral and Graph Edit Distances
  • Automating Compression Ultrasonography of Human Thigh Tissue and Vessels via Strain Estimation
  • Post-Processing of Thresholding or Deep Learning Methods for Enhanced Tissue Segmentation of Whole-Slide Histopathological Images
  • Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis
  • On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network
  • Enhanced Body Composition Estimation from 3D Body Scans
  • Generating Multiple Alignments of Genomes of the Same Species
  • From Polar Bears to People: The Role of Ethnic Genetic Variation in Thermoregulation and Heat-Related Health Risk
  • Highly Interpretable Prediction Models for SNP Data
  • Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity
  • A Framework for Reproducible Parallel DNA String Matching
  • Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration
  • Machine Learning Methods for Phenotype Prediction from High-Dimensional, Low Population Aquaculture Data
  • Optimized Machine Learning Models for Accurate Detection of Candida spp. in Gram-Stained Microscopy Images
  • Metaheuristics Applied to Optimal Feature Selection for Accurate Predictive Models in Smart Health: A Case Study on Hypotension Prediction in Hemodialysis Patients
  • Algorithms for Fast and Efficient Sequence Alignment
  • Lower Leg Joint Strategies in the Outside Pass in Soccer
  • Leveraging Large Language Models and RNNs for Accurate Ontology-Based Text Annotation
  • Towards a New Method for Perturbation Analysis in Biochemical Pathways Based on Network Propagation
  • Assessing the Influence of scRNA-Seq Data Normalization on Dimensionality Reduction Outcomes
  • PathDisGene: Discovering Informative Gene Groups for Disease Diagnosis Using Pathway-Disease Associations and a Grouping, Scoring, Modeling-Based Machine Learning Approach
  • Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning
  • 2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans
  • Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise
  • Clustering Single-Cell RNA-seq Data: Impact of Data Binarization on Algorithmic Performance
  • Modeling HIF-ILK Interaction Using Continuous Petri Nets
  • The Devil Lies in the Details for Species Coexistence Stability in Ablated and Unablated Five-Species Evolutionary Spatial Cyclic Games
  • Enhanced Graph Representations of Chromatin Interaction Networks
  • Impact of Biased Data Injection on Model Integrity in Federated Learning
  • System DietadHoc: A Fusion of Human-Centered Design and Agile Development for the Explainability of AI Techniques Based on Clinical and Nutritional Data
  • Unveiling Vocal Phenotypes of Dysphonia with Unsupervised Learning
  • Development of a Procedure for Detecting Dementia Symptoms Using Features in Differential Waveforms of the Pupil Light Reflex
  • Investigating Behavioral and Neurophysiological Responses Across Landslide Scenarios in Virtual Reality
  • Generative Adversarial Network for Image Reconstruction from Human Brain Activity
  • Routine Pattern Learning and Anomaly Detection Applied to Lone Workers Through Topic Modeling
  • Automatic Ocular Artifact Correction in Electroencephalography for Neurofeedback
  • Short-Term Effects of Mindful Uni-Nostril Breathing on Cardio-Autonomic Functions: A Randomized Controlled Trial
  • Toward Designing a Reduced Phone Set Using Text Decoding Accuracy Estimates in Speech BCI
  • Exploring the Relationship Between Intracavitary Electrohysterogram Characteristics from Contraction and Window Analysis
  • PPG Signal Quality Classification Using STFT and CNN with the BUT PPG Database
  • Modulating Cerebral Rhythms in Parkinson's Disease: Insights on the Role of Auditory Stimulation
  • Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs
  • Effects of Class Imbalance in Unsupervised Human Activity Recognition for Office Work Task Characterization
  • Automatic Classification of Parkinson’s Disease Through the Fusion of Sustained Vowel Descriptors
  • Heart Rate Turbulence: Wavelet Analysis of Frequency Modulated Signals
  • Multi-Scale Probabilistic Score Fusion for Enhancing Alzheimer’s Disease Detection Using EEG
  • An EEG-Based Study Investigating Cognitive and Behavioral Reactions to Indian Knowledge System Narratives in Virtual Reality
  • Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications
  • Novel and Efficient Hyperdimensional Encoding of Surface Electromyography Signals for Hand Gesture Recognition
  • Investigation of the Relational Strength Between Suspected Atrial Fibrillation Triggers and Detector-Based Arrhythmia Episode Occurrence
  • Predicting Respiratory Depression in Neonates Using Deep Learning Neural Networks
  • Preliminary Technical Test of Different Physiological Modalities to Detect Workload in Humans in Microgravity
  • Changes in Attention Levels While Driving a Car Estimated Using Modelling Techniques with Features of Oculo-Motors
  • A Novel Cuff-Less and Calibration-Free Blood Pressure Estimation Framework Using Single Photoplethysmogram
  • Comparison Between the Effects of Continuous and non-Continuous Visual Feedback on Motor Learning While Playing a Muscle-Controlled Serious Game
  • Analyzing Male Depression Using Empirical Mode Decomposition
  • Impact of Feature Extraction Optimization on Machine Learning Models for sEMG-Based Prosthesis Control
  • Comparison Between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context
  • Comparative Analysis of Generalized Multiscale Entropy Methods for Coarse-Grained Time Series Construction in Assessing Autonomic Balance in Peripheral Arterial Disease Patients
  • Facial Profile Biometrics: Domain Adaptation and Deep Learning Approaches
  • Greedy Brain Source Localization with Rank Constraints
  • Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment
  • Review on the Effects of Hypergravity on Workload and Fine Motor Skills in Humans
  • Towards Human Posture Detection Based on Differential Measurements Using Wearable Barometric Pressure Sensors
  • A Novel Approach to Modelling Multi-Channel and Multi-Phase Signals on an Angular Coordinate Axis (Semani)
  • Unified CNN-Transformer Model for Mental Workload Classification Using EEG
  • Assessing Electrocardiogram Quality: A Deep Learning Framework For Noise Detection And Classification
  • Reproducible Gating for High-Resolution Flow Cytometric Characterization of Extracellular Vesicles in Next-Generation Biomarker Studies
  • Histopathological Imaging Dataset for Oral Cancer Analysis: A Study with a Data Leakage Warning
  • Electroencephalography Analysis Frameworks for the Driver Fatigue Problem: A Benchmarking Study
  • A Flexible and Open-Source Tool for Genetic Variant Annotation
  • Aspect-Level Sentiment Analysis of Filipino Tweets During the COVID-19 Pandemic
  • Formal Concept Analysis Applied to Characterize Longitudinal Associations Between Depressive and Anxiety Disorders and Somatization
  • A Multiple Source Data Collection and Integration Paradigm for the Creation of a Dynamic COPD Data Mart
  • Raising the Confidence of Mothers in Preterm Birth Care: Exploring the Secondary Role of the Internet
  • A Model-Checking Framework for Neuro-Degenerative Deficit Screening and Personalized Training
  • Approximation of Inertial Measurement Unit Data to Time Series Kinematic Data Through Correlation Analysis and Machine Learning
  • Machine Learning-Based Clinical Decision Support Systems in Dementia Care
  • Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis
  • Deep Learning for ECG-Derived Respiration Using the Fantasia Dataset
  • An Unsupervised Machine Learning Approach for Clustering Hip Arthroplasty Patients: Surgery Duration Differs Among Different Patient Groups
  • The Development and Validation of the “Attitudes Towards Digitalization” (Att-Dig) Questionnaire
  • Coordinates Transformed Signal Compression Method (CoTSiC): A Novel Algorithm for Tele-Medicine Applications
  • Relationships Between Central Quality Assurance Criteria for the Assessment of Statutory Health Insurance Patients for Further Development Using Medical Informatics Methods
  • Quantifying the Role of Active Listening and Reassurance in Virtual Health Coach Interactions
  • Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments
  • Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas
  • The Use of Formal Concept Analysis for Characterizing the Behavior of the Residents of Bangladesh Regarding the COVID-19 Pandemic
  • Using Machine Learning to Assess the Impact of Harsh Violent Discipline on Children and Adolescents in Low- and Middle-Income Countries: A Comparative Analysis Focusing on Its Relationship with Disabilities
  • Czech Salivary Gland Database
  • Unveiling Breast Cancer Causes Through Knowledge Graph Analysis and BioBERT-Based Factuality Prediction
  • A Proposal for Explainable Breast Cancer Detection from Histological Images
  • Selection of Representative Instances Using Ant Colony Optimization: A Case Study in a Database of Newborns with Congenital Zika in Brazil
  • Enhancing Diagnostic Accuracy of Drug-Resistant Tuberculosis on Chest X-Rays Using Data-Efficient Image Transformers
  • HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information
  • Analysis of the Relationship Between Intelligence, Sensory Processing Sensitivity and the Digital Tree Drawing Test: A Feasibility Study
  • Novel Approach to De-Identify Relational Healthcare Databases at Rest: A De-Identification of Key Data Approach
  • Understanding Stroke Risk Profiles in Middle-Aged Adults: A Genetic Algorithm-Based Feature Selection Aproach
  • A Study on mHealth Adherence for Bipolar Disorder: A Case Study with the BraPolar2 Application
  • Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets
  • The Role of Digital Health Literacy and Socioeconomic Factors in Colorectal Cancer Screening: Machine Learning Analysis of HINTS Data
  • Identifying an Autoinflammatory Syndrome Cohort Using Natural Language Processing with Electronic Medical Record Data
  • Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers
  • Approaches to Promoting Patients’ and Citizens’ eHealth Literacy
  • LOINC Mapping Experiences in Italy: The Case of Friuli-Venezia Giulia Region
  • D-Care: A Multi-Tone LLM-Based Chatbot Assistant for Diabetes Patients
  • Overview of Best Communication Practices in Inclusive Spaces for People with Disabilities: A Qualitative Study in Portuguese-Speaking Countries
  • Holistic Cyber Threat Modeling for Machine Learning-Based Systems: A Case Study in Healthcare
  • Affective Computing in Anxiety Disorders: A Rapid Literature Review of Emotion Recognition Applications
  • Key Factors in Achieving Intersectoral Interoperability: A Scoping Review
  • Protocol Design for in-Class Projects: Comparative Analysis of EEG Signals Among Sexes
  • Design and Implementation of an Open Clinical Trials Platform Using HL7® FHIR® Within the Orthokids-Project
  • Anxiety Detection in Reddit Posts Through Emotion Dynamics Analysis
  • Assessing Goal Disengagement Using a Digital, Card-Based Game: A Proof of Concept Study
  • Comparison of Different User Interfaces for 360-Degree Videos in VR-Based Healthcare Education
  • Predicting Falls from Operational Data: Insights and Limitations of Using a Non-Specialized Database
  • A Pre-Study on Tremor Classification During Activities of Daily Living
  • Design Thinking Process for a Gamified Mobile App to Improve Migrants’ Well-Being and Inclusion
  • Assessing Dietary Protein Intake: A Comparative Study of Two Consumer Mail-In Nutrition Test Kits
  • Optimization of a Deep-Learning-Based Cough Detector Using eXplainable Artificial Intelligence for Implementation on Mobile Devices
  • Federated Learning in Multi-Center, Personalized Healthcare for COPD and Comorbidities: The RE-SAMPLE Platform
  • Mobility: Promoting Health and Physical Activity in School Environments
  • Privacy-Preserving Mortality Prediction in ICUs Using Federated Learning
  • Eyes as Windows to the Heart: Predicting Heart Rate from Pupillometric Features
  • Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations
  • Leveraging LLMs and RAG for Schema Alignment: A Case Study in Healthcare
  • Comparison of Bluetooth Low Energy (BLE), Wi-Fi, Serial and 5G in IoMT
  • MIDTs: Interdisciplinary Method for Technological Research Development with a Focus on Health
  • Preliminary Usability Evaluation of a Virtual Reality (VR) Application for Quitting Nicotine Vaping
  • Online Communities for Promoting Physical Activity: A Scoping Review of Use, Characteristics and Research Gaps
  • Assessing Signal Noise Effects on Machine Learning Models for ECG-Based Cardiac Diagnosis
  • Can We Trust Explanation! Evaluation of Model-Agnostic Explanation Techniques on Highly Imbalanced, Multiclass-Multioutput Classification Problem
  • Virtual Dynamic Keyboard for Communication in Intensive Care
  • Impact of Balancing and Regularization on the Semantic Segmentation of Gleason Patterns
  • CFC Annotator: A Cluster-Focused Combination Algorithm for Annotating Electronic Health Records by Referencing Interface Terminology
  • Evidence on Robotic Prostatectomy: Discussing the Limitations of Real-World Data
  • Enhancing Fracture Aftercare Through a Human-Centered Mobile App Design
  • Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics
  • Mental Wellbeing at Sea: A Prototype to Collect Speech Data in Maritime Settings
  • Multidimensional Correlations in the Implementation in Medical Informatics and Their Statistical and Epidemiological Evaluations in the Quality Assurance in the Medical Advisory Board in Germany
  • Extensive Conformance Testing and Validation of FHIR Data Exchange Variabilities
  • Trends in Drug Prescriptions in the Outpatient Physician Sector in a German Federal State from 2014 to 2023 Using Morbidity Related Groups, Correlations and Partial Correlations
  • Assessing the Practicality of Designing a Comprehensive Intelligent Conversation Agent to Assist in Dementia Care
  • Integrating Clinical Expertise into Software Development: Evaluating the Use of openEHR Archetypes for Requirements Elicitation in Healthcare Applications
  • Coastal and Rural Digital Exclusion: The Case for Voice AI
  • Expertise versus Data: Comparison of Expertise Based Process Models to Process-Mining Models of Surgery Under General Anesthesia
  • Profiling Cancer Patients in Telemedicine: A Case Study in Chilean Private Healthcare
  • Challenges of Generalizing Machine Learning Models in Healthcare
  • Reconsidering AHI as an Indicator of Sleep Apnea Severity: Insights from Mining Large, Longitudinal Sleep Datasets
  • Quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation
  • Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare
  • Mobile Data Collection for Depression Analysis: An App Framework for Monitoring Mood and Depression Using Smartphone and Wearable Data
  • U-Net in Medical Imaging: A Practical Pathway for AI Integration in Healthcare
  • Digital Medication Prescription System with JSON
  • Leveraging Cross-Verification to Enhance Zero-Shot Prompting for Care Document Data Extraction
  • Using Machine Learning to Analyze the Impact of Lifestyle and Socioeconomic Factors on the Incidence of Depression Among Young Brazilians
  • Smartphone Inertial Sensors in Gait Analysis: A Comparison with a Commercial Device
  • Analysing Digital Platforms and Online Communities for Promoting Physical Activity
  • Performance Analysis of a Data Stream Processing System for Online Activity Classification via Wearable Sensor Data
  • Multimorbidity in Heart Failure Patients: Application of Machine Learning Algorithms to Predict Imminent Health Outcomes
  • Innovation in Geriatric Care: An AI Assistant with LLM Integration Based on Health Guidelines
  • Recognising Care-Related Activities with a Convolutional Neural Network Using Inertial Measurement Units
  • Prioritization of Exploit Codes on GitHub for Better Vulnerability Triage
  • Qualitative In-Depth Analysis of GDPR Data Subject Access Requests and Responses from Major Online Services
  • Designing Data Trustees: A Prototype in the Building Sector
  • To Be or Not to Be (in the EU): Measurement of Discrepancies Presented in Cookie Paywalls
  • Analyzing a Concurrent Self-Modifying Program: Application to Malware Detection
  • A Value-Driven Approach to the Online Consent Conundrum: A Study with the Unemployed
  • Got Ya!: Sensors for Identity Management Specific Security Situational Awareness
  • Revisiting Permission Piggybacking of Third-Party Libraries in Android Apps
  • Knowledge Modelling for Automated Risk Assessment of Cybersecurity and Indirect Patient Harms in Medical Contexts
  • A Customizable Security Risk Assessment Framework Using Multi-Attribute Decision Making for IoT Systems
  • Managing a Ransomware Attack: The Resilience of a Swedish Municipality – A Case Study
  • Robust Blockchain-Based Federated Learning
  • A Novel Pairing-Free ECC-Based Ciphertext-Policy Attribute-Based Proxy Re-Encryption for Secure Cloud Storage
  • CASTL: A Composable Source Code Query Language for Security and Vulnerability Analysis
  • ConCERTS: An IoT Cybersecurity Research Range for Education, Experimentation, and Security Research
  • Current Research, Challenges, and Future Directions in Stalkerware Detection Techniques for Mobile Ecosystems
  • Enabling Trusted Data Sharing in Data Spaces: PROTON - A Privacy-by-Design Approach to Data Products
  • Secure Opportunistic Routing Protocol in VANETs
  • Systematisation of Security Risk Knowledge Across Different Domains: A Case Study of Security Implications of Medical Devices
  • Iterative Learning-Based Intrusion Detection System for Performance Enhancement in Imbalanced Data Environments
  • Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy
  • GAI-Driven Offensive Cybersecurity: Transforming Pentesting for Proactive Defence
  • Cyber Threat Modeling of an LLM-Based Healthcare System
  • CDAC: Content-Driven Access Control Architecture for Smart Farms
  • Cybersecurity Challenges in Critical Infrastructure: A Perspective on Regulations and Competence in Luxembourg
  • PenQuestEnv: A Reinforcement Learning Environment for Cyber Security
  • CampusQuest: Motivating Computer Science Students for Cybersecurity from Day One
  • USB-IDS-TC: A Flow-Based Intrusion Detection Dataset of DoS Attacks in Different Network Scenarios
  • Data Collection in Cyber Exercises Through Monitoring Points: Observing, Steering, and Scoring
  • CyberWise: Virtual Security Learning Platform
  • Evaluating Keystroke Dynamics Performance in e-Commerce
  • A Conceptual SOC Framework for Air Traffic Management Systems
  • A Reflection on Process-Oriented Industrial IoT Security Management
  • Management of Customized Privacy Policies
  • Evaluating and Defending Backdoor Attacks in Image Recognition Systems
  • Large Language Models in Cybersecurity: State-of-the-Art
  • Precise Detection of Security Checks in Program Binaries
  • Device-Bound vs. Synced Credentials: A Comparative Evaluation of Passkey Authentication
  • Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection
  • SGX-PrivInfer: A Secure Collaborative System for Quantifying and Mitigating Attribute Inference Risks in Social Networks
  • Privacy- & Utility-Preserving Data Releases over Fragmented Data Using Individual Differential Privacy
  • Cybersecurity Fundamentals Training Among Middle School Students: Building a Strong Foundation
  • Distributed Machine Learning and Multi-Agent Systems for Enhanced Attack Detection and Resilience in IoT Networks
  • HybridMTD: Enhancing Robustness Against Adversarial Attacks with Ensemble Neural Networks and Moving Target Defense
  • De-Anonymization of Health Data: A Survey of Practical Attacks, Vulnerabilities and Challenges
  • Using Compact DNSSEC and Self-Signed Certificate to Improve Security and Privacy for Second-Level Domain Resolution
  • Analytical Evaluation of Time-Based Cryptography
  • Memory-Saving Oblivious RAM for Trajectory Data via Hierarchical Generation of Dummy Access over Untrusted Cloud Environment
  • Scrooge: Detection of Changes in Web Applications to Enhance Security Testing
  • The Digital Loophole: Evaluating the Effectiveness of Child Age Verification Methods on Social Media
  • Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
  • Dynamic-Differential Privacy based on Feature Selection with Improved Usability and Security
  • Attackers’ Profiling Based on Multi-Attack Patterns in SSH Service
  • Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks
  • Enhanced Predictive Clustering of User Profiles: A Model for Classifying Individuals Based on Email Interaction and Behavioral Patterns
  • X-Ray Radiation Effects on SRAM-Based TRNG and PUF
  • EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K
  • Randomizing Forger Selection to Improve Decentralization in Proof of Stake Consensus Protocol
  • Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data
  • Securing the Device Lifecycle Management: A Scalable and Cost-Efficient Public Key Infrastructure Through Microservices
  • Security Analysis of Biased Basis for Efficient BB84
  • Navigating the Security Challenges of LLMs: Positioning Target-Side Defenses and Identifying Research Gaps
  • Privacy Preservation for Machine Learning in IIoT Data via Manifold Learning and Elementary Row Operations
  • On the Effect of Dataset Size and Composition for Privacy Evaluation
  • Evaluating the Efficacy of LINDDUN GO for Privacy Threat Modeling for Local Renewable Energy Communities
  • LLM-Based Fine-Grained ABAC Policy Generation
  • Hybrid Classical Quantum Learning Model Framework for Detection of Deepfake Audio
  • Security Analysis of a Color Image Encryption Scheme Based on a Fractional-Order Hyperchaotic System
  • Logic Locking for Random Forests: Securing HDL Design and FPGA Accelerator Implementation
  • A Targeting Attack by Dynamic Fake QR Code Using Invisible Laser Irradiation
  • Towards Efficient Cloud Data Processing: A Comprehensive Guide to CKKS Parameter Selection
  • Exploring Attack Paths Using Graph Theory: Case - Microsoft Entra ID Pass-Through Authentication
  • RiVS: Reputation in VoIP Systems
  • Leash: A Transparent Capability-Based Sandboxing Supervisor for Unix
  • A2CT: Automated Detection of Function and Object-Level Access Control Vulnerabilities in Web Applications
  • CyLLM-DAP: Cybersecurity Domain-Adaptive Pre-Training Framework of Large Language Models
  • Improving Locally Differentially Private Graph Statistics Through Sparseness-Preserving Noise-Graph Addition
  • Autonomous Cyber Defence by Quantum-Inspired Deep Reinforcement Learning
  • Objective- and Utility-Based Negotiation for Access Control
  • A Secret Key Spreading Protocol for Extending ETSI Quantum Key Distribution
  • A Hybrid Approach for Detecting SQL-Injection Using Machine Learning Techniques
  • The Dual-Edged Sword: The Impact of Large Language Models in Network Infrastructure Security
  • VBSF: A Visual-Based Spam Filtering Technique for Obfuscated Emails
  • Assessing the Effectiveness of an LLM-Based Permission Model for Android
  • Investigating the Effectiveness of Zero–Trust Architecture for Satellite Cybersecurity
  • Introducing Virtuality - Virtual Care Process Simulator: A Concept Utilizing Synthetic Data and a Digital Health Sandbox for Care Process Simulations
  • ExSnus: A Persuasive Mobile Health Application for Snus Cessation
  • Detection of Arm Swing Limitations in Simulated Parkinson’s Disease Gait Conditions: A Pilot Study
  • From Controlled to Free-Living Contexts: Expanding the Monitoring of Motor Symptoms in Parkinson’s Disease with Wearable mHealth Technologies
  • Development of a Proof-of-Concept Portable Electrostimulation Device for Lower Limbs Blood Flow Enhancement
  • Gesture Recognition Through the Implementation of a Bimodal Acquisition System Using EMG and FMG Signals
  • Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges
  • Exploring the EarMetrics Concept: The Bony Ear Canal as a Non-Pigmented Site for Photoplethysmography
  • Wearable Electrodermal Activity Sensor for Real-Time Stress Detection Using Machine Learning
  • Petri Net Modeling of Root Hair Response to Phosphate Starvation in Arabidopsis Thaliana
  • Transfer-Modal Extraction of Surface EMG Features for Upper Limb Motor Classification
  • Analyzing Cognitive Patterns in Gifted Children Using MRI and Morphometric Similarity Networks
  • Real-Time Detection of Multi-File DOM-Based XSS Vulnerabilities Using Static Analysis: A Developer-Oriented Approach for Securing Web Applications
  • Compliance Standards and Frameworks and Its Implications on Cybersecurity: A NIS2 Study Within the Swedish Automotive Industries
  • SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
  • Design of an Intelligent Trust Management Architecture for 5G Service Deployment
  • User Authentication on Remote Connections with Siamese Networks Using Keyboard Usage Behavior and Corresponding Noise Performances
  • Instrumented Orthosis for Movement Evaluation and Monitoring in Hand Rehabilitation
  • Analysis of Polymers for Additive Manufacturing: Based Contact Pressure and Force Sensors
  • Investigating Reinforcement Learning for Histopathological Image Analysis
  • Brain MRI Segmentation Using U-Net and SegNet: A Comparative Study Across Modalities with Robust Loss Functions
  • Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold
  • GenomeCruzer, a 3D Interactive Environment for Genomic Data Visualization and Analysis
  • Behavior-Based Deepfake Detection: Leveraging Cognitive Response to Visual Face Perception
  • Quantifying Racial Bias in SpO 2 Measurements Using a Machine Learning Approach
  • Integrating Gait and Clinical Data with Explainable Artificial Intelligence for Parkinson's Prediction: The EDAM System
  • AI Models for Ultrasound Image Similarity Search: A Performance Evaluation
  • VIRTUAL-PHYSIO: A Virtual Assistant for Home Physiotherapy Rehabilitation
  • Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
  • Application of Formal Concept Analysis for Identifying Depression Patterns in Adults in Brazilian National Health Survey
  • The Role of Online Communities in Promoting Physical Activity: A Survey on User Preferences and Perceived Impact
  • Cross-Domain Transfer Learning for Domain Adaptation in Autism Spectrum Disorder Diagnosis
  • Using LLMs to Extract Adverse Drug Reaction (ADR) from Short Text
  • GLOW-ENV: A Dual-Data IoE-Based Approach for Integrating Glucose and Environmental Data into a Diabetes Recommendation System
  • Using Artificial Intelligence and Large Language Models to Reduce the Burden of Registry Participation
  • Using Under-Represented Subgroup Fine Tuning to Improve Fairness for Disease Prediction
  • AI-Driven Early Mental Health Screening: Analyzing Selfies of Pregnant Women
  • Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymisation, Cropping, and Tagging
  • Algorithmic Bias from the Perspectives of Healthcare Professionals
  • Predicting Adverse Events in Developmental Disabilities Population
  • Early Diagnosis of Parkinson’s Disease via Pro-Saccadic Eye Movement Analysis: Multimodal Intermediate Fusion Framework
  • Defending Against Phishing Attacks on Cloud-Systems: What Has Been Studied?
  • FEST: A Unified Framework for Evaluating Synthetic Tabular Data
  • An Alternative Approach to Federated Learning for Model Security and Data Privacy
  • Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification
  • Topology-Driven Defense: Detecting Model Poisoning in Federated Learning with Persistence Diagrams
  • Assessing Sweden's Current Cybersecurity Landscape: Implications of NATO Membership
  • Privacy Policies in Medium-Sized European Town Administrations: A Comparative Analysis of English and German-Speaking Countries
  • Quantum-Resilient IoT: Integrating Hardware-Based Post-Quantum Cryptography for Robust Device Security
  • (Deep) Learning About Elliptic Curve Cryptography
  • Flow Exporter Impact on Intelligent Intrusion Detection Systems
  • A Deontic Logic Model of Attribute-Based Information Flows in Database-Defined Networks with Application to Healthcare Monitoring
  • Secure Visual Data Processing via Federated Learning
  • Approximations of the Sigmoid Function Beyond the Approximation Domains for Privacy-Preserving Neural Networks
  • Flexible Noise Based Robustness Certification Against Backdoor Attacks in Graph Neural Networks
  • Gram Root Decomposition over the Polynomial Ring: Application to Sphericalization of Discrete Gaussian
  • Early Dental Caries and Demineralization Measurements by Using Portable OCT Scanner
  • Light Communication Technology: An Enabling Technology for Sustainable Wired and Wireless Solutions
  • Microstructure, Extinction Coefficient, and Chlorophyll Content of Philippine Bamboo Leaves by a Portable TD-OCT Scanner
  • Independent Real and Imaginary Spectral Analysis for Improving the Brillouin Frequency Shift Resolution in the Differential Cross-Spectrum BOTDR (DCS-BOTDR) Fiber Sensor
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  • MILI: Biophotonics Technology for In-Situ, Fast, Accurate and Cost-Effective Milk Analysis
  • Advancing Chloride Ion Detection in Edible Oils: Enhanced Sensitivity with NCQD/Ag Nanotriangles via Localized Surface Plasmon Resonance
  • Millimeter Wave Imaging Using Up-Conversion Detection Method with Glow Discharge Detector and Photoreceiver Combination
  • Increasing Power Output of Quantum Cascade Lasers (QCLs) Added with AlAs/InAs Layers Through Bandgap Engineering
  • Advancing Detector Shielding with Thermo-Optic Defocusing in PMMA Integrated on Silicon Nitride
  • Improved Viewing Angle and Light Extraction Efficiency of Microcavity OLED with Corrugated Capping Layer
  • Design and Simulation of a Vertical Waveguide Based Polarization Color Routing Device
  • OCT Image Inspections of Indicator Plant Leaves Under Environmental Stresses
  • Evaluation of Resin Molds Change in Design and Polymerization by Using a Wavefront Sensor
  • Effect of Phase Mismatch on the Dynamics of Bragg Solitons in a Semilinear Coupled Bragg Grating System with Cubic-Quintic Nonlinearity
  • All-Fibre Comb Filter with Narrow Bandwidth Based on a Dual-Pass Mach-Zehnder Interferometer
  • Broadband Infrared Imaging for Enhanced Gas Leak Detection
  • Comparative Analysis of Mechanically Induced Long Period Gratings Using Different 3D Printed Grooved Structure Shapes
  • Feasibility of Driver Monitoring for Sudden Cardiac Illness Detection
  • Microplastic Detection in Lawaye River, San Juan, Batangas City, Philippines Using Front-Face Fluorescence Spectroscopy
  • Bag-Level Multiple Instance Learning for Acute Stress Detection from Video Data
  • Privacy-Preserving Self-Organization in Distributed Energy Scheduling
  • Swarm Behavior Cloning
  • Optimizing Sensor Redundancy in Sequential Decision-Making Problems
  • Ethics of Autonomous Vehicles: Australians’ Expectations and Moral Preferences
  • Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data
  • Agile Software Management with Cognitive Multi-Agent Systems
  • RoDiL: Giving Route Directions with Landmarks by Robots
  • Efficient Selection of Consistent Plans Using Patterns and Constraint Satisfaction for Beliefs-Desires-Intentions Agents
  • A New Planning Agent Architecture that Efficiently Integrates an Online Planner with External Legal and Ethical Checkers
  • Swarm Intelligence-Based Algorithm for Workload Placement in Edge-Fog-Cloud Continuum
  • A Computational Model of Trustworthiness: Trust-Based Interactions Between Agents in Multi Agent System
  • Multi-Face Emotion Detection for Effective Human-Robot Interaction
  • Trust-Based Multi-Agent Authentication Decision Process for the Internet of Things
  • Stateful Monitoring and Responsible Deployment of AI Agents
  • Integration of Emotionally Intelligent Artificial Intelligence into Neuromarketing: Attitudes, Opportunities, Challenges
  • Coordinated Self-Exploration for Self-Adaptive Systems in Contested Environments
  • Analysis of the Continuous Effects of Assertive Feedback from a Job Interview Training Agent
  • Improving Temporal Knowledge Graph Forecasting via Multi-Rewards Mechanism and Confidence-Guided Tensor Decomposition Reinforcement Learning
  • PIMAEX: Multi-Agent Exploration Through Peer Incentivization
  • Multimodal Web Agents for Automated (Dark) Web Navigation
  • Towards Holistic Approach to Robust Execution of MAPF Plans
  • Exploit the Leak: Understanding Risks in Biometric Matchers
  • Alexa and Copilot: A Tale of Two Assistants
  • Double Q-Learning for a Simple Parking Problem: Propositions of Reward Functions and State Representations
  • Investigation of MAPF Problem Considering Fairness and Worst Case
  • Enhancing Many-Objective Particle Swarm Optimization with Island Model for Agricultural Optimization
  • Strategic Returns Prevention in E-Commerce: Simulating Financial and Environmental Outcomes Through Agent-Based Modeling
  • Social Laws for Multi-Agent Pathfinding
  • Formal Analysis of Deontic Logic Model for Ethical Decisions
  • DeepGen: A Deep Reinforcement Learning and Genetic Algorithm-Based Approach for Coverage in Unknown Environment
  • GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models
  • Simulative Analysis of Multi-Agent Systems in Energy Systems: Impact of Communication Networks
  • Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
  • Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation
  • Strategy-Proofness and Non-Obvious Manipulability of Top-Trading-Cycles with Strategic Invitations
  • Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems
  • Improvement of PIBT-based Solution Method for Lifelong MAPD Problems to Extend Applicable Graphs
  • Comparative Analysis of Simulated Annealing and Particle Swarm Optimization for Multi-Robot Task Allocation in ROS
  • Negotiation Dialogue System Using a Deep Learning-Based Parser
  • Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
  • Spiralling Human-Inspired Exploration Algorithm with Doorway Detection
  • Efficient Models Deep Reinforcement Learning for NetHack Strategies
  • Simultaneous Simulated Annealing-Based Crossover Within a Multi-Agent Model for Solving the Green Share-a-Ride Problem
  • What Kind of Information Is Needed? Multi-Agent Reinforcement Learning that Selectively Shares Information from Other Agents
  • Impact of Pinging in Financial Markets: An Agent Based Study
  • Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?
  • Deep Reinforcement Learning for Auctions: Evaluating Bidding Strategies Effectiveness and Convergence
  • Agent-Based Computational Geometry
  • Formation Analysis for a Fleet of Drones: A Mathematical Framework
  • Enhancing Graph Clustering in Dynamic Networks with Distributed Online Life-Long Learning
  • Incentive Design in Hedonic Games with Permission Structures
  • Bridging the Semantic Gap in vGOAL for Verifiable Autonomous Decision-Making
  • Action-Based Intrinsic Reward Design for Cooperative Behavior Acquisition in Multi-Agent Reinforcement Learning
  • MIRSim-RL: A Simulated Mobile Industry Robot Platform and Benchmarks for Reinforcement Learning
  • Interview Bot: Can Agentic LLM’s Perform Ethnographic Interviews?
  • Construction of Football Agents by Inverse Reinforcement Learning Using Relative Positional Information Among Players
  • VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems
  • AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration
  • Consent Understanding and Verification for Personalized Assistive Systems
  • Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
  • Combining Procedural Generation and Genetic Algorithms to Model Urban Growth
  • Satisfiability Checking for (Strategic) Timed CTL Using IMITATOR
  • TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
  • Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
  • The Role of Architectures and Information Availability for Anomaly Detection in Cyber-Physical Energy Systems
  • Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
  • Integration of Aggregated Information and Subjective Experience Through Sequential Information Presentation
  • Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System
  • LLM Output Compliance with Handcrafted Linguistic Features: An Experiment
  • Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
  • A Mixed Quantization Approach for Data-Free Quantization of LLMs
  • YeastFormer: An End-to-End Instance Segmentation Approach for Yeast Cells in Microstructure Environment
  • Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
  • Hierarchically Gated Experts for Efficient Online Continual Learning
  • Socially-Guided Machine Learning for Self-Organised Community Empowerment
  • Agentic AI for Behavior-Driven Development Testing Using Large Language Models
  • An Efficient Method for Assessing the Strength of Mahjong Programs
  • A Federated Approach to Enhance Calibration of Distributed ML-Based Intrusion Detection Systems
  • Belief Re-Use in Partially Observable Monte Carlo Tree Search
  • Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest
  • A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images
  • An Efficient Compilation-Based Approach to Explaining Random Forests Through Decision Trees
  • Multi-Agent Trajectory Prediction for Urban Environments with UAV Data Using Enhanced Temporal Kolmogorov-Arnold Networks with Particle Swarm Optimization
  • Leveraging Embedding Vectors of Aggregate Images for Particle Size Distribution Estimation and Concrete Compressive Strength Prediction
  • Real-Time Transaction Fraud Detection via Heterogeneous Temporal Graph Neural Network
  • Computing Improved Explanations for Random Forests: k-Majoritary Reasons
  • Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles
  • The Pros and Cons of Adversarial Robustness
  • Large Language Models for Summarizing Czech Historical Documents and Beyond
  • Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo
  • Refining High-Quality Labels Using Large Language Models to Enhance Node Classification in Graph Echo State Network
  • Robust Autocorrelation for Period Detection in Time Series
  • Leveraging Attention Mechanisms for Interpretable Human Embryo Image Segmentation
  • A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification
  • Automatic Analysis of App Reviews Using LLMs
  • Advancing Cross-Lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
  • Improved Binary Elk Herd Optimizer with Fitness Balance Distance for Feature Selection Using Gene Expression Data
  • SAPG: Semantically-Aware Paraphrase Generation with AMR Graphs
  • Enhancing Bilingual Lexicon Induction with Dynamic Translation
  • Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
  • Investigating Answer Validation Using Noise Identification and Classification in Goal-Oriented Dialogues
  • PurGE: Towards Responsible Artificial Intelligence Through Sustainable Hyperparameter Optimization
  • Model Characterization with Inductive Orientation Vectors
  • Machine Learning and Deep Learning Approaches for Early Alzheimer’s Detection in Patients with Subjective Cognitive Decline: A Systematic Literature Review
  • RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern
  • ASPERA: Exploring Multimodal Action Recognition in Football Through Video, Audio, and Commentary
  • Graphical Analysis of Abstract Argumentation Frameworks via Boolean Networks
  • A Survey of Advanced Classification and Feature Extraction Techniques Across Various Autism Data Sources
  • Analysis of the Effectiveness of LLMs in Handwritten Essay Recognition and Assessment
  • DiPACE: Diverse, Plausible and Actionable Counterfactual Explanations
  • A Novel Vision Transformer for Camera-LiDAR Fusion Based Traffic Object Segmentation
  • Transfer Learning in Deep Reinforcement Learning: Actor-Critic Model Reuse for Changed State-Action Space
  • Industrial Image Grouping Through Pre-Trained CNN Encoder-Based Feature Extraction and Sub-Clustering
  • CrowdSim++: Unifying Crowd Navigation and Obstacle Avoidance
  • LMSC-UNet: A Lightweight U-Net with Modified Skip Connections for Semantic Segmentation
  • Knowledge Graph Enrichments for Credit Account Prediction
  • Leveraging Large Language Models for Preference-Based Sequence Prediction
  • SAT: Segment and Track Anything for Microscopy
  • A Discrete Non-Additive Integral Based Interval-Valued Neural Network for Enhanced Prediction Reliability
  • Webcam-Based Pupil Diameter Prediction Benefits from Upscaling
  • CriX: Intersection of Crime, Demographics and Explainable AI
  • CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification
  • ABBIE: Attention-Based BI-Encoders for Predicting Where to Split Compound Sanskrit Words
  • Iterative Environment Design for Deep Reinforcement Learning Based on Goal-Oriented Specification
  • Approximate Probabilistic Inference for Time-Series Data: A Robust Latent Gaussian Model with Temporal Awareness
  • Centralised Urban Traffic Routing Using Mixed-Integer Programming
  • GWNet: A Lightweight Model for Low-Light Image Enhancement Using Gamma Correction and Wavelet Transform
  • A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures
  • Household Task Planning with Multi-Objects State and Relationship Using Large Language Models Based Preconditions Verification
  • BevGAN: Generative Fisheye Cross-View Transformers
  • Powerful & Generalizable, Why not both? VA: Various Attacks Framework for Robust Adversarial Training
  • Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
  • TAL4Tennis: Temporal Action Localization in Tennis Videos Using State Space Models
  • Enhancing Appearance-Based Gaze Estimation Through Attention-Based Convolutional Neural Networks
  • A Two-Phase Safe Reinforcement Learning Framework for Finding the Safe Policy Space
  • HPE-DARTS: Hybrid Pruning and Proxy Evaluation in Differentiable Architecture Search
  • Equivariant and SE(2)-Invariant Neural Network Leveraging Fourier-Based Descriptors for 2D Image Classification
  • A Framework for Developing Robust Machine Learning Models in Harsh Environments: A Review of CNN Design Choices
  • BL-MVC: Blockchain Enabled Majority Voting Classifier for Predicting Heart Diseases
  • Enhancing LULC Classification with Attention-Based Fusion of Handcrafted and Deep Features
  • Sequential Counter Encoding for Staircase At-Most-One Constraints
  • An A-Star Algorithm for Argumentative Rule Extraction
  • Using Machine Learning to Distinguish Human-Written from Machine-Generated Creative Fiction
  • Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction
  • Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning
  • Comparison of Monolithic and Structural Decision Models Using the Hamming Distance
  • Intelligent Human Iris Recognition System Based on Deep Learning Models
  • Improving Machine Learning Performance in Credit Scoring by Data Analysis and Data Pre-Processing
  • SwarmPrompt: Swarm Intelligence-Driven Prompt Optimization Using Large Language Models
  • Facial Empathy Analysis Through Deep Learning and Computer Vision Techniques in Mixed Reality Environments
  • QuakeWake: A Novel AI-Based Early Earthquake Warning and Post-Quake Building Safety Guidance System
  • Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis
  • A Vector Autoregression Model for Depicting the Relation Between Labour Market Economic Indicators and Real Wages in the United States Manufacturing Sector
  • Hallucinations in LLMs and Resolving Them: A Holistic Approach
  • Beyond Compute: A Weighted Framework for AI Capability Governance
  • Machine Learning-Driven Monitoring for Early Detection and Management of Prediabetes
  • On the Prediction of a Nonstationary Geometric Distribution Based on Bayes Decision Theory
  • Impact of Extended Clauses on Local Search Solvers for Max-SAT
  • Evaluating ResNet-Based Self-Explanatory Models for Breast Lesion Classification
  • Tunisian Dialect Speech Corpus: Construction and Emotion Annotation
  • Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks
  • CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
  • ML-Based Virtual Sensing for Groundwater Monitoring in the Netherlands
  • Beyond Equality Matching: Custom Loss Functions for Semantics-Aware ICD-10 Coding
  • Brain-Driven Robotic Arm: Prototype Design and Initial Experiments
  • Double Descent Phenomenon in Liquid Time-Constant Networks, Quantized Neural Networks and Spiking Neural Networks
  • A Pattern-Based Approach to Name and Address Parsing with Active Learning
  • A Systematic Review of Sustainable Supplier Selection Using Advanced Artificial Intelligence Methods
  • Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings
  • Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency
  • The Evolution of Criticality in Deep Reinforcement Learning
  • Facility Layout Generation Using Hierarchical Reinforcement Learning
  • CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering
  • Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis
  • Proof of Learning Applied to Binary Neural Networks
  • Early Detection of Harmful Algal Blooms Using Majority Voting Classifier: A Case Study of Alexandrium Minutum, Pseudo-Nitzschia Australis and Pseudo-Nitzschia Fraudulenta
  • Data-Driven Fairness Generalization for Deepfake Detection
  • Sentiment-Enriched AI for Toxic Speech Detection: A Case Study of Political Discourses in the Valencian Parliament
  • Together Is Better! Integrating BDI and RL Agents for Safe Learning and Effective Collaboration
  • Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
  • Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective
  • Traffic Sign Orientation Estimation from Images Using Deep Learning
  • Non-Invasive People Counting in Smart Buildings: Employing Machine Learning with Binary PIR Sensors
  • Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets
  • Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm
  • Building a Risk Profile for Detecting Terrorism Financing
  • Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data
  • Implementation of Quantum Machine Learning on Educational Data
  • A Refined Multilingual Scene Text Detector Based on YOLOv7
  • On the Quest for an NLP-Driven Framework for Value-Based Decision-Making in Automatic Agent Architecture
  • Fuzzy Logic for Cybersecurity: Intrusion Detection and Privacy Preservation with Synthetic Data
  • Multimodal Stock Price Prediction
  • AgeGen Bio Track: Continuous Mouse Behavioral Biometrics-Based Age and Gender Profiling in Online Education Platforms
  • Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM
  • Enhanced Guided Local Search for Addressing the Graph Burning Problem
  • Learning to Run a Marathon: Avoid Overfitting to Speed
  • A Multitier Approach for Dynamic and Partially Observable Multiagent Path-Finding
  • Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning
  • Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy
  • Scaling Multi-Frame Transformers for End-to-End Driving
  • Evaluating Biased Synthetic Data Effects on Large Language Model-Based Software Vulnerability Detection
  • Price Drivers in Prediction Markets: An Agent-Based Model of Competing Narratives
  • Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection
  • GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT
  • Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts
  • ForecastBoost: An Ensemble Learning Model for Road Traffic Forecasting
  • Ensemble of Neural Networks to Forecast Stock Price by Analysis of Three Short Timeframes
  • Using LLM-Based Deep Reinforcement Learning Agents to Detect Bugs in Web Applications
  • Environment Descriptions for Usability and Generalisation in Reinforcement Learning
  • Effectiveness of Whisper’s Fine-Tuning for Domain-Specific Use Cases in the Industry
  • Reptile Search Algorithm Based Feature Selection Approach for Intrusion Detection
  • Translating Akkadian Transliterations to English with Transfer Learning
  • Collision Avoidance and Return Manoeuvre Optimisation for Low-Thrust Satellites Using Reinforcement Learning
  • Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs
  • GAIus: Combining Genai with Legal Clauses Retrieval for Knowledge-Based Assistant
  • Deep Learning-Based Vessel Traffic Prediction Using Historical Density and Wave Features
  • Dataset Generation for Egyptian Arabic Sign Language
  • Efficient Multi-Agent Exploration in Area Coverage Under Spatial and Resource Constraints
  • Image2Life: A Model for 3D Mesh Reconstruction from a Single-Image
  • Abnormal Predicates: Learning Categorical Defaults from Probabilistic Rules
  • Optimizing Automotive Inventory Management: Harnessing Drones and AI for Precision Solutions
  • A Hybrid CNN-LSTM Model for Opinion Mining and Classification of Course Reviews
  • Towards AI-Enabled Model-Driven Architecture: Systematic Literature Review
  • Automated News Scraping and AI-Powered Analysis for Municipal Crime Mapping
  • Tractable Generative Modelling of Cosmological Numerical Simulations
  • MOTIF: A Framework for Enhancing the Profiling Module of Generative Agents that Simulate Human Behavior
  • Named Entity Discovery and Alignment in Parallel Data
  • Towards Multi-View Hand Pose Recognition Using a Fusion of Image Embeddings and Leap 2 Landmarks
  • ATFSC: Audio-Text Fusion for Sentiment Classification
  • FedKD4DD: Federated Knowledge Distillation for Depression Detection
  • Towards Trustworthy AI in Demand Planning: Defining Explainability for Supply Chain Management
  • How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications
  • Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models
  • Morphological Disambiguation of Texts Based on Analogical Proportions
  • Neural Networks Bias Mitigation Through Fuzzy Logic and Saliency Maps
  • Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption
  • UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances
  • Dimensionality Reduction on the SPD Manifold: A Comparative Study of Linear and Non-Linear Methods
  • Occupant Activity Recognition in IoT-Enabled Buildings: A Temporal HTN Planning Approach
  • LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction from Large Contexts
  • Predictive Modelling of Agricultural Factors to Maximize Crop Yield
  • Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming
  • Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases
  • Synthetic Data Generation for Emergency Medical Systems: A Systematic Comparison of Tabular GAN Extensions
  • Formal Reasoning About Trusted Third Party Protocols
  • Analysis of Gaze Behavior for Constructing Learning Support Systems of Pass Behavior in First Person Perspective
  • Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications
  • AI-Based Personalized Multilingual Course Recommender System Using Large Language Models
  • Proposal of an Automated Testing Method for GraphQL APIs Using Reinforcement Learning
  • Detecting Misleading Information with LLMs and Explainable ASP
  • Proposal of a Method for Analyzing the Explainability of Similarity Between Short Texts in Spanish
  • Applying Informer for Option Pricing: A Transformer-Based Approach
  • SPEAR: SPADE-Net and HuBERT for Enhanced Audio-to-Facial Reconstruction
  • Generative AI for Islamic Texts: The EMAN Framework for Mitigating GPT Hallucinations
  • Limitations of Tokenizers for Building a Neuro-Symbolic Lexicon
  • Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection
  • When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights
  • Enhanced YOLOv8 Framework for Early Detection of Alzheimer's Disease Using MRI Scans
  • A Study on Vulnerability Explanation Using Large Language Models
  • Generating Safe Policies for Multi-Agent Path Finding with Temporal Uncertainty
  • Explainable AI in Labor Market Applications
  • Kernel-Level Malware Analysis and Behavioral Explanation Using LLMs
  • Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems
  • An Efficient Genetic Algorithm for Service Placement in Fog Computing
  • On Enhancing Code-Mixed Sentiment and Emotion Classification Using FNet and FastFormer
  • Classification of Complaints Text Data by Ensembling Large Language Models
  • Federated Machine Learning Framework for Soil Classification in Smart Agriculture
  • Semantic Objective Functions: A Distribution-Aware Method for Adding Logical Constraints in Deep Learning
  • Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks
  • Leveraging Deep Q-Network Agents with Dynamic Routing Mechanisms in Convolutional Neural Networks for Enhanced and Reliable Classification of Alzheimer’s Disease from MRI Scans
  • GNN-MSOrchest: Graph Neural Networks Based Approach for Micro-Services Orchestration - A Simulation Based Design Use Case
  • Advancing Polycystic Ovary Syndrome Detection with Artificial Intelligence Techniques
  • A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems
  • Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures
  • Making Reinforcement Learning Safer via Curriculum Learning
  • Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
  • Constraint-Based Optimization for Scheduling Medical Appointments
  • Neural Architecture Search: Tradeoff Between Performance and Efficiency
  • Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language
  • Intelligent Health & Mission Management Architecture for Autonomous and Resilient Distributed Space Systems
  • A Collaborative Approach to Multimodal Machine Translation: VLM and LLM
  • Fish Catch Prediction by Combining Fishing, Weather and Tidal Data
  • Vision-Language Models for E-commerce: Detecting Non-Compliant Product Images in Online Catalogs
  • Application of Large Language Models and ReAct Prompting in Policy Evidence Collection
  • Natural Language Interface for Goal-Oriented Knowledge Graphs Using Retrieval-Augmented Generation
  • An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress
  • Top-Push Polynomial Ranking Embedded Dictionary Learning for Enhanced Re-Id
  • Stacked Ensemble Deep Learning for Robust Intrusion Detection in IoT Networks
  • Improving Quality of Entity Resolution Using a Cascade Approach
  • Toward a Quantum Fuzzy Approach for Emotion Modeling in Parent-Child Interactivity
  • Machine Learning Based Collaborative Filtering Using Jensen-Shannon Divergence for Context-Driven Recommendations
  • Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods
  • Deep Learning for Frailty Classification Using Raw Inertial Sensor Gait Data
  • Enhanced Credit Card Fraud Detection Using Federated Learning, LSTM Models, and the SMOTE Technique
  • Propagation-Based Domain-Transferable Gradual Sentiment Analysis
  • Communication and Negotiation to Improve Agent-Based Models
  • Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations
  • Meta-Ensemble Learning for Multi-Trait Optimization in Maize Breeding: Combining Gradient Boosting, Random Forests, and Deep Learning with SVM Integration
  • Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes
  • Improving Controlled Text Generation via Neuron-Level Control Codes
  • Time Series Prediction Models for Diabetes: A Systematic Literature Review
  • A Leaf Disease Detection Using Machine Learning and Deep Learning: Comparative Study
  • Efficient Automatic Data Augmentation of CDT Images to Support Cognitive Screening
  • GAna: Model Generators and Data Analysts for Streamlined Processing
  • Leveraging Capsule Networks for Robust Brain Tumor Classification and Detection in MRI Scans
  • Integrating Machine Learning and Optimisation to Solve the Capacitated Vehicle Routing Problem
  • Solving Monge Problem by Hilbert Space Embeddings of Probability Measures
  • Hierarchical Decomposition Framework for Steiner Tree Packing Problem
  • A Real-World Multi-Depot, Multi-Period, and Multi-Trip Vehicle Routing Problem with Time Windows
  • An Airline Profit Management Model with Overbooking and No-Shows
  • A Discrete Event Simulation Tool for Conducting a Fleet Mix Study
  • Exploration of a Generalized Benders Decomposition Method for Solving Project Scheduling Problems with Resource Constraints
  • Modelling Defence Planning as a Sequential Decision Problem
  • Data Clustering Using Mother Tree Optimization
  • Long-Term Planning of Preventive Maintenance Using Constraint Programming: A Naval Case Study
  • The Value of Perfect Forecasting in Optimizing the Management of Energy Communities
  • Cost Optimization Analysis of Retrial Machine Repair Problem with Warm Standby Components and Imperfect Coverage
  • Predicting Postpartum Depression in Maternal Health Using Machine Learning
  • A Green Transportation Problem for e-Commerce Deliveries
  • Optimized Scheduling for Electric Vehicle Charging: A Multi-Objective Approach to Grid Stability and User Satisfaction
  • Models and Algorithms for the Optimization of Multi-Period Fiber Wholesale Investments Strategies
  • Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation
  • Minimizing Energy Cost in a Job-Shop Scheduling Problem Under ToU Pricing: A New Method Based on a Period-Indexed MILP
  • Optimal Covering and Trajectory Planning for Air-Ground Integrated Networks in Post-Disaster Scenarios
  • A Stochastic Location-Routing Problem for the Optimal Placement of Lockers
  • Fuzzy Rewards on the Multi-Armed Bandits Model
  • Synchronized Drone and Truck Routing Problem: A Multi-Stakeholder Perspective
  • Enhancing Circularity in Medical Device Supply Chains by Optimizing EoL Decisions Through Reinforcement Learning: A Multi-Objective Approach
  • An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates
  • Modeling for Assessment of Risks in Smart City Mobility Operations
  • A Constraint Satisfaction Problems Based Scalable Framework to Address Large-Scale Realistic Scheduling and Routing Problems
  • Renewable Energy-Based Micro-Grid for Clean Electricity and Green Hydrogen Production
  • Online Joint Optimization of Sponsored Search Ad Bid Amounts and Product Prices on e-Commerce
  • A Mixed-Integer Programming Approach for an Extended Fixed Route Hybrid Electric Aircraft Charging Problem
  • Enhance Equity in Agricultural Economic Interest Groups
  • A Parallel Implementation of the Clarke-Wright Algorithm on GPUs
  • Effective Inventory Control Under Very Large Unknown Deterioration Rate and Volatile, Almost Unpredictable Customer Demand
  • SMVLift: Lifting Semantic Segmentation to 3D on XR Devices
  • Non Contact Stress Assessment Based on Deep Tabular Method
  • Stance Detection in Twitter Conversations Using Reply Support Classification
  • LAST: Utilizing Synthetic Image Style Transfer to Tackle Domain Shift in Aerial Image Segmentation
  • Rethinking Model Selection Beyond ImageNet Accuracy for Waste Classification
  • Document Analysis with LLMs: Assessing Performance, Bias, and Nondeterminism in Decision Making
  • Silhouette Segmentation for Near-Fall Detection Through Analysis of Human Movements in Surveillance Videos
  • Improving Floating Wind Turbine Stability with Evolutionary Computation for TMD Optimization
  • Multi-View Skeleton Analysis for Human Action Segmentation Tasks
  • Occlusion Detection for Face Image Quality Assessment
  • A Hierarchical Classification for Automatic Assessment of the Reception Quality Using Videos of Volleyball and Deep Learning
  • Action Recognition in Law Enforcement: A Novel Dataset from Body Worn Cameras
  • Speaker Verification Enhancement via Speaking Rate Dynamics in Persian Speechprints
  • Deep Learning for Effective Classification and Information Extraction of Financial Documents
  • Distribution Controlled Clustering of Time Series Segments by Reduced Embeddings
  • DNN Layers Features Reduction for Out-of-Distribution Detection
  • Single Hyperspectral Image Super-Resolution Utilizing Implicit Neural Representations
  • StylePuncher: Encoding a Hidden QR Code into Images
  • A Re-Ranking Method Using K-Nearest Weighted Fusion for Person Re-Identification
  • ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models
  • Anomaly Detection Methods for Maritime Search and Rescue
  • Multiple Importance Sampling for Stochastic Gradient Estimation
  • Improving Enjoyment of Cultural Heritage Through Recommender Systems, Virtual Tour, and Digital Storytelling
  • Ultrasonic Large Scenario Model (ULSM): Vector Embedding System for Ultrasonic Echo Wave Characteristics
  • Comparison of CNN and Transformer Architectures for Robust Cattle Segmentation in Complex Farm Environments
  • A Framework for Identifying Underspecification in Image Classification Pipeline Using Post-Hoc Analyzer
  • CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
  • LostPaw: Finding Lost Pets Using a Contrastive Learning-Based Transformer with Visual Input
  • Towards Secure Biometric Solutions: Enhancing Facial Recognition While Protecting User Data
  • Data-Centric Optimization of Enrollment Selection in Speaker Identification
  • Visualizing Medical Coding Practices Using Transformer Models
  • Self-Supervised Transformers for Long-Term Prediction of Landsat NDVI Time Series
  • A Study on the Robustness of Object Detectors in Aqua-Farming
  • A Comparative and Explainable Study of Machine Learning Models for Early Detection of Parkinson's Disease Using Spectrograms
  • TokenOCR: An Attention Based Foundational Model for Intelligent Optical Character Recognition
  • An Optimized and Accelerated Object Instance Segmentation Model for Low-Power Edge Devices
  • Evaluating LIME and SHAP in Explaining Malnutrition Classification in Children Under Five
  • A Two-Stage Approach for Wire Harness Cable Description Using 3D Point Clouds for Robotic Manufacturing
  • Pre-Training Deep Q-Networks Eliminates the Need for Target Networks: An Empirical Study
  • Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
  • Reconstruction of 3D Brain Structures from Clinical 2D MRI Data
  • A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving
  • Surface Tracking in Coherence Scanning Interferometry by B-Spline Model and Teager-Kaiser Operator
  • Domain-Incremental Semantic Segmentation for Autonomous Driving Under Adverse Driving Conditions
  • Principal Direction 2-Gaussian Fit
  • Zeroth Order Optimization for Pretraining Language Models
  • Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models
  • Class-Specific Dataset Splitting for YOLOv8: Improving Real-Time Performance in NVIDIA Jetson Nano for Faster Autonomous Forklifts
  • A New Cluster Validation Index Based on Stability Analysis
  • Towards Improving Translation Ability of Large Language Models on Low Resource Languages
  • Online Importance Sampling for Stochastic Gradient Optimization
  • Machine Learning-Driven Classification of Polyethylene (HDPE, LDPE) via Raman Spectroscopy
  • Deep Neural Network Architectures for Advanced Hiking Map Generation
  • Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction
  • Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images
  • Assessment of Training Progression on a Surgical Simulator Using Machine Learning and Explainable Artificial Intelligence Techniques
  • A Comparative Analysis of Hyperparameter Effects on CNN Architectures for Facial Emotion Recognition
  • Anomalous Event Detection in Traffic Audio
  • Game State and Spatio-Temporal Action Detection in Soccer Using Graph Neural Networks and 3D Convolutional Networks
  • Boosting Language Models for Real-Word Error Detection
  • Language-Aware and Language-Agnostic Multilingual Speech Recognition with a Single Model
  • Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach
  • Toward Optimized Predictive Maintenance for Vehicle Systems: Deep Learning-Based Anomaly Detection Using CAN Traffic
  • Computation of 2D Discrete Geometric Moments on Quadtrees
  • FlowAct: A Proactive Multimodal Human-Robot Interaction System with Continuous Flow of Perception and Modular Action Sub-Systems
  • Classification of Oral Cancer and Leukoplakia Using Oral Images and Deep Learning with Multi-Scale Random Crop Self-Training
  • SSS: Similarity-Based Scheduled Sampling for Video Prediction
  • Multilabel Classification of Otoscopy Images in Deep Learning for Detailed Assessment of Eardrum Condition
  • A U-Net-Based Temperature Bias Correction Method for the REMO2015 Regional Climate Model in CORDEX-EA
  • An Easy-to-Use System for Tracking Robotic Platforms Using Time-of-Flight Sensors in Lab Environments
  • Partition Tree Ensembles for Improving Multi-Class Classification
  • Lifelong Learning Needs Sleep: Few-Shot Incremental Learning Enhanced by Sleep
  • Union and Intersection K-Fold Feature Selection
  • Domain Generalization Using Category Information Independent of Domain Differences
  • Automated Handwriting Pattern Recognition for Multi-Level Personality Classification Using Transformer OCR (TrOCR)
  • Slice Reconciliation in Continuous-Variable Quantum Key Distribution Using Discrete Modulation
  • Quantum Approaches to the 0/1 Multi-Knapsack Problem: QUBO Formulation, Penalty Parameter Characterization and Analysis
  • Quantum-Efficient Kernel Target Alignment
  • QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
  • Applying Quantum Tensor Networks in Machine Learning: A Systematic Literature Review
  • Embedding of Tree Tensor Networks into Shallow Quantum Circuits
  • Benchmarking Quantum Reinforcement Learning
  • Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting
  • Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
  • Unified Framework for Implementing Inaccurate Knowledge in Quantum Symbolic Artificial Intelligence Models
  • Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks
  • Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
  • Optical Fiber Probe Based on Localized Surface Plasmon Resonance of Gold Nanostructures for Chemical Sensing
  • Interactive Problem-Solving with Humanoid Robots and Non-Expert Users
  • From Interpretability to Clinically Relevant Linguistic Explanations: The Case of Spinal Surgery Decision-Support
  • A Modular Framework for Knowledge-Based Servoing: Plugging Symbolic Theories into Robotic Controllers
  • Upside-Down Reinforcement Learning for More Interpretable Optimal Control
  • Glass-box Automated Driving: Insights and Future Trends
  • Extraction of Semantically Coherent Rules from Interpretable Models
  • Towards High-Fidelity ECG Generation: Evaluation via Quality Metrics and Human Feedback
  • Integrating Late Variable Binding with SP-MCTS for Efficient Plan Execution in BDI Agents
  • Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks
  • Pre-Trained Models and Fine-Tuning for Negotiation Strategies with End-to-End Reinforcement Learning
  • Explainable AI: A Retrieval-Augmented Generation Based Framework for Model Interpretability
  • A Ship Routing Algorithm Generating Precise and Diverse Paths
  • A Group Activity Based Method for Early Recognition of Surgical Processes Using the Camera Observing Surgeries in an Operating Room and Spatio-Temporal Graph Based Deep Learning Model
  • Temporal Pattern Analysis of Baggage Impact on Flight Operations
  • Morphing Between Monotonic Spinner Planar Curves Through Radial-Sign Descriptors
  • 1D-DiffNPHR: 1D Diffusion Neural Parametric Head Reconstruction Using a Single Image
  • Improving Classification in Skin Lesion Analysis Through Segmentation
  • Extracting and Modeling Tabular Data from Marine Geology Publications into a Heterogeneous Information Network
  • Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
  • An OGI Based Unattended Natural Gas Leak Detection System by Utilizing the Power of Machine Learning and Computer Vision
  • QMamba: Quantum Selective State Space Models for Text Generation
  • Intrusion Detection System Based on Quantum Generative Adversarial Network
  • Continuous Quantum Reinforcement Learning for Robot Navigation
  • Challenges and Innovations in Digitizing Elderly Care in Switzerland: A Single Case Study
  • Adoption and Challenges of Digital Technologies in Home Care for Older Adults in Austria: Bridging Practical and Managerial Perspectives
  • Longitudinal Analysis of Disease Progression in the Elderly: An Approach to Mitigate the Burden of Frailty, Functional and Cognitive Decline
  • Longitudinal Data Acquisition for AI Services in Long-Term Care Facilities for Older Adults
  • Beyond Safety: Towards Non-Stigmatizing Mobile Emergency Watches that Empower Older Adults
  • Intraoperative Electrocorticography Signal Synthesis to Improve the Classification of Epileptiform Tissue
  • FFAD: Fixed-Position Few-Shot Anomaly Detection for Wire Harness Utilizing Vision-Language Models
  • A Taxonomy of Change Types for Textual DSL Grammars
  • Automatic Evaluation and Partitioning of Algorithms for Heterogeneous Systems
  • Energy Monitoring Systems Analysis and Development: A Case Study for Graph-Based Modelling
  • ReMoDeL: A Pure Functional Object-Oriented Concept Language for Models, Metamodels and Model Transformation
  • Towards the Model-Driven Development of Adaptive Cloud Applications by Leveraging UML-RT and Container Orchestration
  • HyperGraphOS: A Meta Operating System for Science and Engineering
  • Next-Generation Design Tools for Intelligent Transportation Systems
  • Validation of Requirements Models Using a Graph
  • Enabling Incremental SysML Model Verification: Managing Variability and Complexity Through Tagging and Model Reduction
  • On the Generation of Input Space Model for Model-Driven Requirements-Based Testing
  • An Automata-Based Method to Formalize Psychological Theories: The Case Study of Lazarus and Folkman’s Stress Theory
  • From Plain English to XACML Policies: An AI-Based Pipeline Approach
  • An Automated and Intelligent Interface Embracing Process Awareness into User Workspace
  • A Systematic Method to Derive Software Services and Requirements from Business Models
  • Towards a Classification Framework for the Digital Twin Tools: A Taxonomy
  • Digital Twin System of Systems: A Layered Architecture Proposal
  • Hierarchical System of Digital Twins: A Holistic Architecture for Swarm System Analysis
  • Automated Generation of Standardised Digital Twins Based on MBSE Models
  • Optimizing Python Code Metrics Feature Reduction Through Meta-Analysis and Swarm Intelligence
  • Vulnerability Mapping and Mitigation Through AI Code Analysis and Testing
  • Test Adapter Generation Based on Assume/Guarantee Contracts for Verification of Cyber-Physical Systems
  • A Model-Based Approach to Experiment-Driven Evolution of ML Workflows
  • Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options
  • Safe Behavior Model Synthesis: From STPA to LTL to SCCharts
  • Towards Synthesis-Based Engineering for Cyber-Physical Production Systems
  • Towards a Domain-Specific Modelling Environment for Reinforcement Learning
  • LLFSMs to TLA+: A Model-to-Text Transformation of Executable Models Enabling Specification and Verification of Multi-Threaded and Concurrent Systems
  • Navigating Dimensionality Through State Machines in Automotive System Validation
  • Designing a Meta-Model for the Eclipse Qrisp eDSL for High-Level Quantum Programming
  • An Engineer-Friendly Terminology of White, Black and Grey-Box Models
  • Advancing IoT Architectures Using Collaborative Computing Paradigms for Dynamic and Scalable Systems
  • How to Leverage Digital Twin for System Design?
  • An Integrated Building Management Platform for Investment into Renewable Energy System and SRI Compliance
  • Efficient Modelling with Logic-Labelled Finite-State Machines of IEC 61499 Function Blocks: Simulation, Execution and Verification
  • Early Fault-Detection in the Development of Exceedingly Complex Reactive Systems
  • Leveraging Affordable Solutions for Stereo Video Capture in Virtual Reality Applications
  • Sleep-Stage Efficient Classification Using a Lightweight Self-Supervised Model
  • DeepCellCount: Cell Counting Using Two-Step Deep Learning
  • ReST: High-Precision Soccer Player Tracking via Motion Vector Segmentation
  • Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors
  • Adaptive Out-of-Distribution Detection with Coarse-to-Fine Grained Representation
  • Pose-Centric Motion Synthesis Through Adaptive Instance Normalization
  • Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
  • HandMvNet: Real-Time 3D Hand Pose Estimation Using Multi-View Cross-Attention Fusion
  • ConvKAN: Towards Robust, High-Performance and Interpretable Image Classification
  • Adaptable Distributed Vision System for Robot Manipulation Tasks
  • Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
  • Low Latency Pedestrian Detection Based on Dynamic Vision Sensor and RGB Camera Fusion
  • CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
  • New Paths in Document Data Augmentation Using Templates and Language Models
  • Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection
  • Fine-Grained Self-Localization from Coarse Egocentric Topological Maps
  • Conditioned Generative AI for Synthetic Training of 6D Object Pose Detection
  • Latent Space Characterization of Autoencoder Variants
  • Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios
  • Inductive Self-Supervised Dimensionality Reduction for Image Retrieval
  • Minimizing Number of Distinct Poses for Pose-Invariant Face Recognition
  • Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
  • Action Tube Generation by Person Query Matching for Spatio-Temporal Action Detection
  • Deep Image Clustering with Model-Agnostic Meta-Learning
  • Coloring 3D Avatars with Single-Image
  • Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models
  • Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
  • Defense Against Model Inversion Attacks Using a Dummy Recognition Model Trained with Synthetic Samples
  • MuSt-NeRF: A Multi-Stage NeRF Pipeline to Enhance Novel View Synthesis
  • Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
  • CTypiClust: Confidence-Aware Typical Clustering for Budget-Agnostic Active Learning with Confidence Calibration
  • Rescuing Easy Samples in Self-Supervised Pretraining
  • SSGA: Synthetic Scene Graph Augmentation via Multiple Pipeline Variants
  • Knowledge Amalgamation for Single-Shot Context-Aware Emotion Recognition
  • Beyond Data Augmentations: Generalization Abilities of Few-Shot Segmentation Models
  • VLLM Guided Human-Like Guidance Navigation Generation
  • DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace
  • Internal State Estimation Based on Facial Images with Individual Feature Separation and Mixup Augmentation
  • Real-Time Kinematic Positioning and Optical See-Through Head-Mounted Display for Outdoor Tracking: Hybrid System and Preliminary Assessment
  • Deep Local Feature Matching Image Anomaly Detection with Patch Adaptive Average Pooling Technique
  • Urban Re-Identification: Fusing Local and Global Features with Residual Masked Maps for Enhanced Vehicle Monitoring in Small Datasets
  • Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data
  • Optimum-Path Forest Ensembles to Estimate the Internal Decay in Urban Trees
  • Herbicide Efficacy Prediction Based on Object Segmentation of Glasshouse Imagery
  • Detection of Door-Closing Defects by Learning from Physics-Based Simulations
  • A Method for Detecting Hands Moving Objects from Videos
  • Towards a Dataset for Paleographic Details in Historical Torah Scrolls
  • 3DSES: An Indoor Lidar Point Cloud Segmentation Dataset with Real and Pseudo-Labels from a 3D Model
  • Uncertainty Estimation for Super-Resolution Using ESRGAN
  • CLIP-MDGAN: Multi-Discriminator GAN Using CLIP Task Allocation
  • 2D Motion Generation Using Joint Spatial Information with 2CM-GPT
  • Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models
  • Leveraging Vision Language Models for Understanding and Detecting Violence in Videos
  • Improving Periocular Recognition Accuracy: Opposite Side Learning Suppression and Vertical Image Inversion
  • Handling Drift in Industrial Defect Detection Through MMD-Based Domain Adaptation
  • Expanding Domain Coverage in Injection Molding Quality Inspection with Physically-Based Synthetic Data
  • Learning Neural Velocity Fields from Dynamic 3D Scenes via Edge-Aware Ray Sampling
  • Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer
  • Automated Individualization of Object Detectors for the Semantic Environment Perception of Mobile Robots
  • Transformer or Mamba for Temporal Action Localization? Insights from a Comprehensive Experimental Comparison Study
  • MAESTRO: A Full Point Cloud Approach for 3D Anomaly Detection Based on Reconstruction
  • Disease Estimation Using Gait Videos by Separating Individual Features Based on Disentangled Representation Learning
  • ConMax3D: Frame Selection for 3D Reconstruction Through Concept Maximization
  • VectorWeaver: Transformers-Based Diffusion Model for Vector Graphics Generation
  • Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification
  • Leveraging Unreal Engine for UAV Object Tracking: The AirTrackSynth Synthetic Dataset
  • Accuracy Improvement of Neuron Concept Discovery Using CLIP with Grad-CAM-Based Attention Regions
  • GIFF: Graph Iterative Attention Based Feature Fusion for Collaborative Perception
  • An Event Camera Simulator for Arbitrary Viewpoints Based on Neural Radiance Fields
  • Improving Geometric Consistency for 360-Degree Neural Radiance Fields in Indoor Scenarios
  • Paint Blob Detection and Decoding for Identification of Honey Bees
  • Effectiveness of Cross-Model Learning Through View-Model Ensemble on Detection of Spatiotemporal EEG Patterns
  • Improving Adaptive Density Control for 3D Gaussian Splatting
  • FiDaSS: A Novel Dataset for Firearm Threat Detection in Real-World Scenes
  • A Computer Vision Approach to Counting Farmed Fish in Flowing Water
  • Semi-Supervised Anomaly Detection in Skin Lesion Images
  • Data-Free Dynamic Compression of CNNs for Tractable Efficiency
  • Improving Image Classification Tasks Using Fused Embeddings and Multimodal Models
  • Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
  • Shape from Mirrored Polarimetric Light Field
  • Automatic Detection of the Driver Distractions Based on the Analysis of Face Videos
  • Deep Learning-Powered Visual SLAM Aimed at Assisting Visually Impaired Navigation
  • Efficient CNN-Based System for Automated Beetle Elytra Coordinates Prediction
  • Temporally Accurate Events Detection Through Ball Possessor Recognition in Soccer
  • Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning
  • Exploration and Validation of Specialized Loss Functions for Generative Visual-Thermal Image Domain Transfer
  • Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL
  • Robotic Visual Attention Architecture for ADAS in Critical Embedded Systems for Smart Vehicles
  • Towards Safe Self-Stimulatory Behaviors in Autistic Children: HarmAlert4AutisticChildren (HA4AC)
  • Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method
  • Benchmarking Neural Rendering Approaches for 3D Reconstruction of Underwater Environments
  • Edge AI System for Real-Time and Explainable Forest Fire Detection Using Compressed Deep Learning Models
  • Rethinking Deblurring Strategies for 3D Reconstruction: Joint Optimization vs. Modular Approaches
  • Image Compositing Is all You Need for Data Augmentation
  • Handwriting Trajectory Recovery of Latin Characters with Deep Learning: A Novel Exploring the Amount of Points per Character and New Evaluation Method
  • A Survey on Feature-Based and Deep Image Stitching
  • One-Shot Polarization-Based Material Classification with Optimal Illumination
  • A Multifractal-Based Masked Auto-Encoder: An Application to Medical Images
  • BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation
  • Exploring Histopathological Image Augmentation Through StyleGAN2ADA: A Quantitative Analysis
  • QR Code Detection with Perspective Correction and Decoding in Real-World Conditions Using Deep Learning and Enhanced Image Processing
  • Weak Segmentation and Unsupervised Evaluation: Application to Froth Flotation Images
  • Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction
  • Environment Setup and Model Benchmark of the MuFoRa Dataset
  • Homography VAE: Automatic Bird’s Eye View Image Reconstruction from Multi-Perspective Views
  • Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer
  • Skeleton-Based Bilateral Symmetry: Theoretical Concepts and Detection via Dynamic Programming
  • Learning Weakly Supervised Semantic Segmentation Through Cross-Supervision and Contrasting of Pixel-Level Pseudo-Labels
  • Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
  • Application-Guided Image Fusion: A Path to Improve Results in High-Level Vision Tasks
  • Attached Shadow Constrained Shape from Polarization
  • FRCol: Face Recognition Based Speaker Video Colorization
  • Gam-UNet for Semantic Segmentation
  • Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification
  • Comparison Between CNN and GNN Pipelines for Analysing the Brain in Development
  • ReactSR: Efficient Real-World Super-Resolution Application in a Single Floppy Disk
  • Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation
  • Enhancing Small Object Detection in Resource-Constrained ARAS Using Image Cropping and Slicing Techniques
  • OrthoCNN: Mitigating Adversarial Noise in Convolutional Neural Networks via Orthogonal Projections
  • Evaluating Combinations of Optimizers and Loss Functions for Cloud Removal Using Diffusion Models
  • Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator
  • Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
  • Towards Robust Multimodal Land Use Classification: A Convolutional Embedded Transformer
  • Volumetric Color-Texture Representation for Colorectal Polyp Classification in Histopathology Images
  • Two Simple Unfolded Residual Networks for Single Image Dehazing
  • MEFA: Multimodal Image Early Fusion with Attention Module for Pedestrian and Vehicle Detection
  • Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis
  • An Assessment of Shadow Generation by GAN with Depth Images on Non-Planar Backgrounds
  • SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints
  • Towards JPEG-Compression Invariance for Adversarial Optimization
  • Simultaneous Optimization of Abnormality Discriminator and Illumination Conditions for Image Inspection of Textile Products
  • Segmentation of Intraoperative Glioblastoma Hyperspectral Images Using Self-Supervised U-Net++
  • Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
  • Uncertainty-Driven Past-Sample Selection for Replay-Based Continual Learning
  • Anomalous Water Dataset Captured by Hyperspectral Cameras
  • Canine Action Recognition: Exploring Keypoint and Non-Keypoint Approaches Enhanced by Synthetic Data
  • ShadowScout: Robust Unsupervised Shadow Detection for RGB Imagery
  • Combining Supervised Ground Level Learning and Aerial Unsupervised Learning for Efficient Urban Semantic Segmentation
  • A Multi-Criteria Approach for Gaze Analysis Similarity in Paintings
  • Garbage Classification from Visual Footprints: Using Transfer Learning Strategy
  • Features for Classifying Insect Trajectories in Event Camera Recordings
  • Weight Factorization Based Incremental Learning in Generalized Few Shot Segmentation
  • A Computer Vision Approach to Fertilizer Detection and Classification
  • Integrating Image Quality Assessment Metrics for Enhanced Segmentation Performance in Reconstructed Imaging Datasets
  • Editing Scene Illumination and Material Appearance of Light-Field Images
  • Separation of Insect Trajectories in Dynamic Vision Sensor Data
  • Multi-Object Keypoint Detection and Pose Estimation for Pigs
  • SBC-UNet3+: Classification of Nuclei in Histology Imaging Based on Multi Branch UNET3+ Segmentation Model
  • Patch-Based Deep Unsupervised Image Segmentation Using Graph Cuts
  • Dawn: A Robust Tone Mapping Operator for Multi-Illuminant and Low-Light Scenarios
  • Lunar Technosignatures: A Deep Learning Approach to Detecting Apollo Landing Sites on the Lunar Surface
  • From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising
  • ODPG: Outfitting Diffusion with Pose Guided Condition
  • Learning-Based Reconstruction of Under-Sampled MRI Data Using End-to-End Deep Learning in Comparison to CS
  • Onboarding Customers in Car Sharing Systems: Implementation of Know Your Customer Solutions
  • Obstacle Detection and Ship Recognition System for Unmanned Surface Vehicles
  • Joint Calibration of Cameras and Projectors for Multiview Phase Measuring Profilometry
  • Towards Resource-Efficient Deep Learning for Train Scene Semantic Segmentation
  • Making Real Estate Walkthrough Videos Interactive
  • D-LaMa: Depth Inpainting of Perspective-Occluded Environments
  • Self-Supervised Partial Cycle-Consistency for Multi-View Matching
  • Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
  • Objective Diagnosis of Depression and Autism Spectrum Disorder Based on fMRI Time Series Statistics
  • Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation
  • AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising
  • Gait Recognition Using CGAN and EfficientNet Deep Neural Networks
  • RacketDB: A Comprehensive Dataset for Badminton Racket Detection
  • StrikeNet: A Deep Neural Network to Predict Pixel-Sized Lightning Location
  • Deep Learning-Tuned Adaptive Inertia Weight in Particle Swarm Optimization for Medical Image Registration
  • Cross-Site Relational Distillation for Enhanced MRI Segmentation
  • Local Foreground Selection Aware Attentive Feature Reconstruction for Few-Shot Fine-Grained Plant Species Classification
  • Exploring Local Graphs via Random Encoding for Texture Representation Learning
  • Recognition-Oriented Low-Light Image Enhancement Based on Global and Pixelwise Optimization
  • Enhancing Marine Habitats Detection: A Comparative Study of Semi-Supervised Learning Methods
  • Multi-Modal Multi-View Perception Feature Tracking for Handover Human Robot Interaction Applications
  • Automated Performance Metrics for Objective Surgical Skill Assessment in Laparoscopic Training
  • Layerwise Image Vectorization via Bayesain-Optimized Contour
  • Exploring Machine Learning and Remote Sensing Techniques for Mapping Pinus Invasion Beyond Crop Areas
  • RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization
  • Targeted Test Time Adaptation of Memory Networks for Video Object Segmentation
  • Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing
  • From ML2 to ML2+: Integrating Time Series Forecasting in Model-Driven Engineering of Smart IoT Applications
  • RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture
  • Ontology-Driven LLM Assistance for Task-Oriented Systems Engineering
  • Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach
  • Multi-Agent Causal Reinforcement Learning
  • Transforming Systems Engineering in Nuclear Projects with Generative AI: A Path to Efficiency and Compliance
  • Iterative Diagnosis-Driven Augmented Generation (IDDAG) for Programmatic 3D CAD
  • AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages
  • On the Importance of Visualisation in a Data Driven Society
  • D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation
  • Segmentation-Guided Neural Radiance Fields for Novel Street View Synthesis
  • Uncertainty and Feature-Based Weighted Loss for 3D Wheat Part Segmentation
  • Addressing the Ethical Implications of AI Models Developed: A Case Study of Master's Degree Dissertations in Data Science for Industry and Society
  • MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange
  • MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification
  • AGENTFORGE: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
  • Combining Petri Nets and AI Techniques to Improve Dynamic Production Scheduling Optimization
  • An Evaluation of ChatGPT’s Reliability in Generating Biographical Text Outputs
  • Dialogue Support Through the Identification of Utterances Crucial for the Listener's Interpretation if Missed
  • Adjusting Doctor's Reliance on AI Through Labeling for Training Data and Modification of AI Output in a Muscle Tissue Detection Task
  • Towards More Robust Transcription Factor Binding Site Classifiers Using Out-of-Distribution Data
  • Decoding Persuasiveness in Eloquence Competitions: An Investigation into the LLM’s Ability to Assess Public Speaking
  • Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture
  • Upper Bound Computation for the Multiple Close-Enough Traveling Salesman Problem
  • Indoor Navigation: Navmesh Applied to Indoor Graph Creation
  • Oil Spill Segmentation Using Deep Encoder-Decoder Models
  • Hyperspectral Image Compression Using Implicit Neural Representation and Meta-Learned Based Network
  • HI²: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization
  • A Domain Specific Language to Design New Control Architectures for Smart Grids
  • Reducing QUBO Density by Factoring out Semi-Symmetries
  • Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
  • Curvy: A Parametric Cross-Section Based Surface Reconstruction
  • Finding the Shear Reflection Symmetry Plane in a 3D Point Cloud
  • Ray-LUT: A Lookup-Based Method for Camera Lens Simulation in Real-Time Using Ray Tracing
  • Efficient Modeling of 3D Epithelial Cell Structure Dynamics via Backbone Spreads
  • A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments
  • Forge: Extending Anvil for Visual Evaluation of Rendering Pipelines
  • AI-Accelerated Viewshed Computation for High-Resolution Elevation Models
  • Galerkin Enhanced Graph-Based FEM for Interactive Fracture and Sculpting Applications
  • Semi-Automatic Generation of Rotoscope Animation Using SAM and k-means Clustering
  • Fast Detection of Jitter Artifacts in Human Motion Capture Models
  • Design and Development of an Interactive and Intelligent Wood Harvester Machine Operator Simulator
  • Efficient Tiling of Point Features to 3D Tiles with Discrete LOD
  • Symmetry Detection and Symmetrization in Cellular Automata
  • AI-Informed Interactive Task Guidance in Augmented Reality
  • Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints
  • MCPro: A Procedural Method for Topologically Correct Isosurface Extraction Based on Marching Cubes
  • Multiple Multi-Modal AI for Semantic Annotations of 3D Spatial Data
  • Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation
  • Evaluation of Body Parts Representations in Motion Reconstruction
  • A Proposed Immersive Digital Twin Architecture for Automated Guided Vehicles Integrating Virtual Reality and Gesture Control
  • Parallel Axis Split Tasks for Bounding Volume Construction with OpenMP
  • Backface Distance Fields: Relaxing Signed Distance Fields
  • Blending Realities: Accessible Mixed Reality for Tremor Rehabilitation in Parkinson’s Disease
  • Generative Narrative-Driven Game Mechanics for Procedural Driving Simulators
  • Reconstruction of the Botanical Trees from Single-View Images Using Signed Distance Functions
  • A Virtual Reality Prototype for Evaluating Emotion Induced by Poetry and Ambient Electronic Music
  • Lightweight Transformer Occupancy Networks for 3D Virtual Object Reconstruction
  • Manipulating Gloss of Real Objects Under Omnidirectional Lighting
  • Fast Approximate Symmetry Plane Computation as a Density Peak of Candidates
  • Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility
  • A Whole New World: Can Virtual Reality Help to Understand Non-Euclidean Geometries?
  • VIRTA-Yoke: A Virtual-Integrated Poka-Yoke System for Error Prevention and Operator Training in Manufacturing Processes
  • Tutrace: Editable Animated Vector Shape from Video
  • Beyond the Ragdoll: Designing a Safe-Falling Controller for Physically Simulated Characters
  • Diffusion Transformer Framework for Speech-Driven Stylized Gesture Generation
  • Oasis: A Real-Time Hydraulic and Aeolian Erosion Simulation with Dynamic Vegetation
  • Lightweight Visualisation for Vortex Tracking in Airflow Acquisition
  • ARPΔ: Hardware-Accelerated Ray-Traced Photon Differentials
  • Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
  • Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools
  • Exploring Extended Reality (XR) in Teaching AI: A Comparative Study of XR and Desktop Environments
  • Impact of Team Models in Hierarchical Human-Agent Decision-Making Teams
  • A Serious Game for Early Detection and Assessment of Social Apathy: A Pilot Study
  • Evaluating Preattentive Processing in Game Settings with Consistent Visual Scenes
  • Exploring Standard and Novel Interactions on a Multi-Touch-Enhanced Mouse
  • Effects of Overloading Command Capacity of Multiplexed FastTap Menus on Spatial Learning in Tablets
  • Immersive versus Non-Immersive Virtual Reality Environments: Comparing Different Visualization Modalities in a Cognitive-Motor Dual-Task
  • Hands-Free VR
  • HeyThere: Design and Evaluation of an Augmented Reality Multiplayer Social Game
  • Showing, Telling, and Collaborating: Investigating the Relative Benefits of Videoconferencing and Different Augmented Reality Embodiments for Remote Meetings
  • Formalization of Pre-Learning Instructional Method Based on Information Processing of Learner Driver
  • Analyzing the Developer's Sentiment in Software Components: A Decade-Long Study of the Apache Project
  • Multimodal Feedback Estimation for Knob Interactions in Virtual Reality for Control Panels
  • Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality
  • Impact of Starting Position on Decision-Making in Virtual Reality
  • Vida Migrante: Empathy and the Migrant Experiences Through Data Visualization
  • Closing the Digital Gap for Incarcerated Students Using Learning Management Systems in the USA
  • Virtual Kitchen: Using a Touch Table for Cognitive Rehabilitation in Activities of Daily Living
  • The Exhausted Brain Theory: An Energy-Based Framework for Understanding Visually Induced Motion Sickness
  • Digital Assistant in a Point of Sales
  • CSV: Visual Support for Understanding Card Synergy in Digital Collectible Card Games
  • Effective Mitigation of Cognitive Load in Complex Mixed Reality Tasks
  • Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline
  • Posterizing Diagrams with Top-Down Layout
  • HoloGraphs: An Interactive Physicalization for Dynamic Graphs
  • MillefioriAnalyzer: Machine Learning, Computer Vision and Visual Analytics for Provenance Research of Ancient Roman Artefacts
  • Inconspicuous Guides: A Qualitative Study to Understand the Degree of Intrusiveness in Visualization Onboarding
  • RapViz: Rhyme Detection and Visualization of Rap Music
  • AlertSets: Supporting Exploratory Analysis of Cybersecurity Alerts Through Set Interactions
  • ScaleVis: Interactive Exploration of Measurement Instrument Verification Data
  • A Subspace Projection Based Technique for Visualizing Machine Learning Models
  • Immersive in Situ Visualizations for Monitoring Architectural-Scale Multiuser MR Experiences
  • Studying Parallel Coordinates Under Varying Aspect Ratios
  • GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual
  • PyNarrative: A Python Library for Data Storytelling
  • Why Does It Look like this? Introducing a Preliminary Framework for Explainable Graph Drawing (XGD)
  • SPViz: A DSL-Driven Approach for Software Project Visualization Tooling
  • Colorimetric Compensation in Video Mapping for Luggage Inspection
  • Generative Artificial Intelligence for Immersive Analytics
  • SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features
  • Penta: Towards Visualizing Compound Graphs as Set-Typed Data
  • C4D3: A View-Level Abstraction and Coordination Library for Building Coordinated Multiple Views with D3
  • Active Physicalization of Temporal Bone
  • Delphi: A Natural Language Interface for 2.5D Treemap Visualization of Source Code
  • Evaluating Transformers Learning by Representing Self-Attention Weights as a Graph
  • Reflections on the Uses and Available Choices of Categorical Colorschemes
  • Interactive Platform for Surveys in Information Visualisation
  • Empowering Facility Managers: Multimodal Location-Based Visualization for Smart Sanitizer Dispensers Management
  • Designing Explainable and Counterfactual-Based AI Interfaces for Operators in Process Industries
  • LIC-R: Line Integral Convolution Revisited
  • Interactive Wind Simulation in Settlement Areas
  • Pulsating Uncertainties: Visualization and Highlighting of Uncertainty in 3D Data Using Animated 2D Transfer Functions
  • Evaluating LLMs for Visualization Tasks
  • Second Order Differential Properties of Tensor Product Fractal Surfaces
  • Sharing and Accessing Autobiographical Memories Tied with Media
  • XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback
  • Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach
  • Estimate Reference Evapotranspiration Using Machine Learning Methods
  • Deep Image-Based Adaptive BRDF Measure
  • Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization
  • Who Knows Who: A Context-Based Approach to Network Generation for Social Simulations
  • Curiosity Driven Reinforcement Learning for Job Shop Scheduling
  • Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification
  • Visual Analytics for the Analysis of Sleep Quality
  • Multivariate Time Series Visualization for a Single Individual: A Scoping Review Using PRISMA-ScR
  • Analysis of the Influence of Atmospheric Turbulence on Laser Wireless Power Transmission
  • A Multimodal Approach to Research Paper Summarization
  • Differential Diagnosis of Brain Diseases Using Ensemble Learning and Explainable AI
  • Efficient 3D Human Pose and Shape Estimation Using Group-Mix Attention in Transformer Models
  • Thermal Image Super-Resolution Using Real-ESRGAN for Human Detection
  • REPVSR: Efficient Video Super-Resolution via Structural Re-Parameterization
  • STEP: SuperToken and Early-Pruning for Efficient Semantic Segmentation
  • Human Pose Estimation from an Extremely Low-Resolution Image Sequence by Pose Transition Embedding Network
  • PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views
  • Comparative Analysis of Deep Learning-Based Multi-Object Tracking Approaches Applied to Sports User-Generated Videos
  • Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows
  • Transferability of Labels Between Multilens Cameras
  • Dynamic Hierarchical Token Merging for Vision Transformers
  • Synthetic Thermal Image Generation from Multi-Cue Input Data
  • EasyPortrait: Face Parsing and Portrait Segmentation Dataset
  • Compact Optical Spectroscopy: The Future of Food Analytics in Your Pocket
  • Punish the Pun-ish: Enhancing Text-to-Pun Generation with Synthetic Data from Supervised Fine-tuned Models
  • Learning Compatible Representations
  • Digital Twins: Models Everywhere
  • Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
  • Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data
  • Evaluation of OCT Image Synthesis for Choroidal and Retinal Layer Segmentation Using Denoising Diffusion Probabilistic Models
  • An Interpretable Machine Learning Model for Meningioma Grade Prediction
  • Characterising and Categorising Anonymization Techniques: A Literature-Based Approach
  • Predicting Photovoltaic Power Output Using LSTM: A Comparative Study Using both Historical and Climate Data
  • Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation
  • Online Detection of End of Take and Release Actions from Egocentric Videos
  • Phase Combining Strategies for Polarization-Independent Demodulation in a DAS Using Homodyne Detection with Delayed Self-Mixing in a Non-Stabilized Mach-Zehnder Interferometer
  • Telosian: Reducing False Positives in Real-Time Cyber Anomaly Detection by Fast Adaptation to Concept Drift
  • Sensor Calibration and Data Analysis of the MuFoRa Dataset
  • Optimization of Cloud-Native Application Execution over the Edge-Cloud Continuum Enabled by DVFS
  • Infrastructure as Code: Technology Review and Research Challenges
  • EMERALD: Evidence Management for Continuous Certification as a Service in the Cloud
  • Advancing Serverless Workflow Efficiency: Integrating Functional Programming Constructs and DAG-Based Execution
  • WFQ-Based SLA-Aware Edge Applications Provisioning
  • Performance and Usability Implications of Multiplatform and WebAssembly Containers
  • Framework for Decentralized Data Strategies in Virtual Banking: Navigating Scalability, Innovation, and Regulatory Challenges in Thailand
  • Job Generator for Evaluating and Comparing Scheduling Algorithms for Modern GPU Clouds
  • LLM-Based Adaptive Digital Twin Allocation for Microservice Workloads
  • Performance Analysis of mdx II: A Next-Generation Cloud Platform for Cross-Disciplinary Data Science Research
  • Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers
  • A Framework for Evaluating Integration Testing Criteria in Serverless Applications
  • Security-Aware Allocation of Replicated Data in Distributed Storage Systems
  • Data Orchestration Platform for AI Workflows Execution Across Computing Continuum
  • Anomaly Detection for Partially Observable Container Systems Based on Architecture Profiling
  • Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems
  • SLO and Cost-Driven Container Autoscaling on Kubernetes Clusters
  • A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster
  • Optimization of Food Inputs in Restaurants in Metropolitan Lima Through Prediction and Monitoring Based on Machine Learning
  • A Concept for Accelerating Long-Term Prototype Testing Using Anomaly Detection and Digital Twins
  • The Evolution of Cloud Computing Towards a Vendor Agnostic Market Place Using the SKY CONTROL Framework
  • OTRA: A Risk Management Ontology for Transparent Service Level Agreements in Federated Cloud Environment
  • Towards Optimizing Cost and Performance for Parallel Workloads in Cloud Computing
  • Operations Patterns for Hybrid Quantum Applications
  • Hybrid Root Cause Analysis for Partially Observable Microservices Based on Architecture Profiling
  • Idempotency in Service Mesh: For Resiliency of Fog-Native Applications in Multi-Domain Edge-to-Cloud Ecosystems
  • A Cost-Benefit Analysis of Additive Manufacturing as a Service
  • Energy-Aware Node Selection for Cloud-Based Parallel Workloads with Machine Learning and Infrastructure as Code
  • On-Your Marks, Ready? Exploring the User Experience of a VR Application for Runners with Cognitive-Behavioral Influences
  • Enhancing Learning with Physiological Measures: A Systematic Review of Applications in Neuroeducation
  • Visual Intelligence for Program Animation
  • Integrating Analog Games and Minecraft for Urban Greening Education: A Serious Game Approach for Elementary Students
  • Implementation and Utilisation of the Didactic AlgoPoint Application to Facilitate Teacher-Student Group Collaboration
  • Narrative-Based Interactive Learning for Scam Prevention: Rich Within Reach
  • Model Quality and Student Satisfaction in BPMN Education: A Quasi-Experiment
  • Feasibility Study of the ADA Blocks Virtual Assistant by HCI Experts
  • Manim-DFA: Visualising Data Flow Analysis and Abstract Interpretation Algorithms with Automated Video Generation
  • Implementing European Digital Credentials in Non-Formal Education: A Prototype for the Digital Learning Campus
  • Using ChatGPT 3.5 to Reformulate Word Problems for State Exam in Mathematics
  • Evaluating a Teacher Development Course for Teaching STEM Activities with Introductory Internet of Things Concepts and AI Data Model Training Skills Using the TPACK Framework: Problem-Solving and Digital Creativity
  • Learning to Program: Mapping Errors and Misconceptions of Python Novices to Support the Design of Intelligent Programming Tutors
  • A Deep Learning Approach for Automatic Detection of Learner Engagement in Educational Context
  • Use of Search Tools in Software Development: A Study of Microservice-Based Team Projects
  • Generating Accessibility: Using AI to Improve Higher Education for the Visually Impaired
  • Hidden Markov Models to Capture Sequential Patterns of Valence-Arousal in High- and Low-Performing Collaborative Problem-Solving Groups
  • The Impact of Live Polling Quizzes on Student Engagement and Performance in Computer Science Lectures: A Post-COVID19 Study
  • Architecture for Gradually AI-Teamed Adaptation Rules in Learning Management Systems
  • The Virtual Computer Networks Lab: On the Design and Implementation of a Location Independent Networks Laboratory in Higher Education
  • Dynamic Reading Comprehension Visualization in Digital Course Texts
  • Evaluating the Effect of Practice Quizzes on Exam Performance in an Advanced Software Testing Course
  • Blockchain Solutions for Scalable and Sustainable Education: Enhancing Credentialing and Resource Management
  • A Young Researcher’s Dual Lens: A Twofold Autoethnographic Exploration of Generative AI in the Realms of Doing Research and Teaching Computer Science and Media Design Education
  • Co-Creational Drone Simulator for STEM Pedagogy: A Flipped Classroom Approach to Develop Engineering and Social Competence in Early Childhood Education
  • Enhancing User Onboarding in Virtual Reality Educational Applications: Evaluating the Effectiveness of Pre-Training User Onboarding Method
  • AI Literacy and Attitudes Towards AI in Design Education: A Comparative Study of Communication and Architectural Design Students
  • A Systematic Literature Review of Adaptive Collaborative Systems Based on Dashboards
  • Language Learning with VR: The Effects of Immersive Gamification on Student Motivation and Knowledge
  • Luciole: The Design Story of a Serious Game for Learning English Created for (and with) Children
  • An Online Integrated Development Environment for Automated Programming Assessment Systems
  • GenAI as a Tool for Content Generation in Hypermedia Edutainment Applications: Potential and Limitations
  • Game-Based Ergonomic Adaptation of User Interfaces for Online Learning Environments
  • Saving Writing Classes from Extinction: ChatGPT as Part of the Teaching Pedagogy
  • The Integration of Digital Education Within an Ozobot Pilot Project: Austrian Teacher Perspectives and Practices
  • Boosting Engagement and Academic Performance Through Gamification: Leveraging Student Profiles and Game Personas for Enhanced Learning
  • Can the Mighty Pen Be Mightier? Investigating the Role of Haptic Senses in Multimodal Immersive Learning Environments
  • Designing Actionable and Interpretable Analytics Indicators for Improving Feedback in AI-Based Systems
  • Auto-Grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges
  • Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
  • Time to Face the Truth: Do Digital Applications Really Help Students Learn?
  • Sustainable Development Goals in Computer Engineering: A Curriculum Integration
  • A Preliminary Investigation into Theory-Practice Barriers in Sino-New Zealand Undergraduate Computing Education
  • KanjiCompass: An Etymology-Driven Adaptive Kanji Learning Tool
  • Moodle2EventLog: A Tool for Pedagogically-Driven Log Enrichment and Analysis
  • Using Serious Art Games to Promote the Circulation of Ideas Embodied in Contemporary Aesthetics
  • Exploring Cooperation and Competition in Computer Science Education: An Investigation Based on Game Theory
  • SPELLINGUAL: A Gamified Approach to Enhance Multilingual Spelling Skills
  • How Artificial Intelligence Is Impacting on the STEM Education of Students with Disabilities: A Five Years Review
  • A Collaborative Vocabulary Notebook as a Complementary Tool to Language Courses at the University Level
  • Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application
  • Using LMS Records to Track Student Performance: A Case of a Blended Course
  • Toward Automated UML Diagram Assessment: Comparing LLM-Generated Scores with Teaching Assistants
  • Practices, Challenges, and Training Needs of Faculty in Terms of Generative AI
  • AI Wanderlust: A Roadmap to Integrating GenAI Tools in the Classroom Fostering Critical AI Literacy
  • Would I Use It? A Study with Experts Exploring Game Design Storytelling as a Facilitating Process for Creating Educational Gamification
  • The Influence of Pro-Environmental Behavior Stages on e-Learning Platform Acceptance in Public Works
  • Understanding the Lecturers’ Perception About a Programming Learning Prototype
  • Redesigning Personal Learning Environments: Consolidation of Empirical Findings and Conceptual Research Against the Background of a National Educational Infrastructure
  • Generative AI in Climate Change Communication and Education
  • Navigating Autism: The Role of Collaborative Virtual Reality in Social Skills Development
  • Citizen Science and Democracy: Participation with a Purpose
  • Eudaily: Supporting University Students in Daily Eudaimonic Reflection Using the Reflective Play Framework
  • Integrating Systems Thinking into Software Engineering Education: A Teaching Experience
  • Teacher in the Loop: Customizing Educational Games Using Natural Language
  • A Pedagogical Framework to Teach Artificial Intelligence from an Uruguayan Experience
  • Evaluating a GPT-4 and Retrieval-Augmented Generation-Based Conversational Agent to Enhance Learning Experience in a MOOC
  • Future-Proofing Small Schools: Rethinking Education with AI
  • Use and Perception of Generative AI in Higher Education: Insights from the ERASMUS+ Project 'Teaching and Learning with Artificial Intelligence' (TaLAI)
  • Outline Notes, Student Retention and Achievement During the 2020 Online Lectures
  • Fostering Diversity in Software Engineering Education: A Challenge-Based Approach to Integrate Non-STEM Students
  • Large Language Models for Student Code Evaluation: Insights and Accuracy
  • Investigating Flavors of RAG for Applications in College Chatbots
  • Upgrading MatematiX: A Modern Approach to Learning Geometry for Middle School Students
  • The Impact of Generative AI on IT Professionals’ Work Routines: A Systematic Literature Review
  • DigiVillage Chronicles: A Serious Game Designed to Improve Digital Skills for Accessing Public Services
  • AI Principles in Practice with a Learning Engineering Framework
  • Insightful Mental Health Tool for Students
  • Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
  • Influences on IT-Related Courses Choices: A Gendered Analysis Based on Social Cognitive Career Theory
  • Integrating Automated and Humanistic Approaches: A Methodological Case Study of Teachers' Digital Professional Growth
  • The Effectiveness of Tutor Strategies in Enhancing Students' Learning and Attitudes in Scientific and Humanistic Subjects: An Analysis of Tutor Strategies Within the Compiti@Casa Project
  • Robust & Reliable Automated Feedback Using Tree Edit Distance for Solving Open Response Mathematical Questions
  • An Interactive, Unplugged Activity to Engage Children in Designing Solutions for Smart Villages
  • A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case
  • Pedagogical Strategies Based on Socio-Affective Scenarios in Distance Education: A Look from the Perspective of Tutors
  • Collaborative Model for Developing Computing Skills in Basic Education
  • Towards a Standardized Data Science Competence Framework: A Literature Review Approach
  • Position Paper: Integrating Inquiry-Based Learning Pedagogy in Information Technology
  • Enhancing Student Engagement and Learning Outcomes Through Multimodal Robotic Interactions: A Study of non-Verbal Sound Recognition and Touch-Based Responses
  • Regaining Control: Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation
  • Empowering Future Engineers: Unveiling Personalized Flipped Classrooms in Basic Programming Education
  • Exploratory Study on the Learner eXperience in a Collaborative Learning Context Using Computational Resources
  • Shaping the Digital Content of Mentoring Programs for Women in Informatics: Insights from an Exploratory Study
  • Global Bike Go: SAP-Based Mini Business Simulation Games
  • Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review
  • Understanding the Student Experience Better: Analyzing Remote Learning Tools Through Engagement, Participation, and Liveness Concepts
  • Programmers Aren’t Obsolete yet: A Syllabus for Teaching CS Students to Responsibly Use Large Language Models for Code Generation
  • AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education
  • The Effectiveness of Simulation in Biomedical Engineering Education: A Case Study
  • The Importance of Digital and Computer Science Education in Primary Schools: Perspectives from Educators
  • iReflect: Enhancing Reflective Learning with LLMs: A Study on Automated Feedback in Project Based Courses
  • ReflexAI: Optimizing LLMs for Consistent and Constructive Feedback in Reflective Writing
  • Enhancing Student Learning in Tertiary Education Through Simulation
  • EasyProtocol: Towards a Digital Tool to Support Educators in Oral Exams
  • Feasibility of NLP Metrics in Automatic Paraphrase Evaluation for EFL Learners
  • ADA-Gen: Iterative and Incremental Generation of Full-Stack Apps for Learning Agile/DevOps Software Development Practices
  • Narrative-Driven Learning: Teaching Finite State Machines Through Storytelling
  • AI Tutor: Adaptive e-Learning System Using Expert Fuzzy Controllers
  • LLMs Take on the Bebras Challenge: How Do Machines Compare to Students?
  • Grammar Verification for Students: A Grammar Design Recipe with Verification Steps
  • Stakeholder Responsibility for Building Trustworthy Learning Analytics in the AI-Era
  • Sparse Binary Representation Learning for Knowledge Tracing
  • Toward Consistency in Writing Proficiency Assessment: Mitigating Classification Variability in Developmental Education
  • Manna Methodology: A Novel Approach to Education 5.0 Through Learning and Socio-Emotional Assessment in IoD Bootcamps
  • PBL Meets AI: Innovating Assessment in Higher Education
  • Evaluating the Potential of LLMs for Better Short Answer Scoring
  • Enhancing Learning with Gamification: Empowering Students in Web Development Education
  • Tile-Based Games for Object-Oriented Programming Learning: A Modular Base Code Approach
  • T-Shaped Competencies in Academic and IT Service Synergies
  • Addressing Label Leakage in Knowledge Tracing Models
  • Refining English Writing Proficiency Assessment and Placement in Developmental Education Using NLP Tools and Machine Learning
  • Teacher Education at a Crossroads: Computer Science and Digital Education in a Blended Curriculum
  • Developing Critical Thinking Skills in Undergraduate Students: A Mapping Study in Computing Education
  • Beyond Functionality: Automating Algorithm Design Evaluation in Introductory Programming Courses
  • Analyzing Student Use of Spacing and Interleaving Strategies in Interactions with GenAI-Powered Chatbots in Programming Courses
  • From Text to Text Game: A Novel RAG Approach to Gamifying Anthropological Literature and Build Thick Games
  • Teaching Topics in Human-Computer Interaction: A Practical Experience with a Focus on Experimental Research
  • L(V)LMs Compromising the Integrity of in-Person Exams: An Evaluation Utilizing Smart Glasses and Computer Vision
  • From Syntax to Sketch: Visualizing Code for Enhanced Comprehension with Focus on Cybersecurity
  • Personalized Recommender System for Improving Urban Exploration and Experience Documentation of International Students
  • Teaching Parallel Programming on the CPU Based on Matrix Multiplication Using MKL, OpenMP and SYCL Libraries
  • Learning Game Co-Design by Second-Year Nursing Students and Its Effects on Knowledge
  • MYFORSCRUM: A New Digital Tool for Implementing Forscrum in Educational / Training Contexts
  • A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards
  • Audits for Trust: An Auditability Framework for AI-Based Learning Analytics Systems
  • Prompting an LLM Chatbot to Role Play Conversational Situations for Language Practice
  • Our Notes Leave too Much to Say: Investigating Note-Taking Practices and Technological Tools in Academia
  • The Impact of Racial Congruence Between Instructor and Learner on Memorization Outcomes in a Virtual Reality Environment
  • Experience Using Systematic Mapping Studies to Foster Knowledge Discovery in Emerging Technology Fields
  • BiLSTM-Attention-Delta: A Novel Framework for Predicting Dropout in MOOCs Within Big Data Environments
  • Professional Development for Teachers in AI Literacy Education: Teaching Machine Learning to Senior Primary and Junior Secondary Students
  • Navigating the Learning Landscape: A Case Study of Multisubject Problem-Based Learning in Computer Engineering Degree
  • From Big Idea to Prototype: A Challenge-Based Learning Framework for Hackathons in Higher Education
  • On Unraveling Student Resilience and Academic Performance in Higher Education
  • Teaching Computational Thinking Through a Cross-Curricular Approach Supported by Programming Patterns
  • GENIE Learn: Human-Centered Generative AI-Enhanced Smart Learning Environments
  • GenAI as a Learning Assistant, an Empirical Study in Higher Education
  • Unplugged Memory: A Report of an Unplugged Activity in High School Education with a Technical Specialization in Brazil
  • A Systematic Literature Review of Adaptive Learning Systems Based on the Assessment of Collaboration Quality
  • Leadership Teaching in Agile Software Engineering: A Systematic Mapping
  • How Proficient Is Generative AI in an Introductory Object-Oriented Programming Course?
  • Does ChatGPT-Permitted Assessments Help Students Generate Better Answers and Learn More?
  • Towards Digital Transformation in Primary Science: Typology of Blended Learning Models
  • Position Paper: Computer Supported Education vs. Education Supported Computing - On the Problem of Informed Decision Making of Appropriate Data Analytics Method
  • Digital Presence and Learning Success: An Empirical Study on the Impact of Online Engagement on Conceptual Expertise
  • Artificial Intelligence in Higher Education: A Decade of Research Insights Through Bibliometric Analysis
  • Unsupervised Partial Domain Adaptation for Occupants Behavior Modeling in Smart Buildings
  • Repurposing Alternators as Motors: Promoting Sustainability and Circular Economy in Low-Cost Mobility Systems
  • Topological Attention and Deep Learning Integration for Electricity Consumption Forecasting
  • Digitalization Meets Climate Protection: Legal Framework for Energy-Efficient Data Centres
  • Optimizing Morphological Design in High-Density Residences in Hong Kong to Enhance Mental Health
  • Breaking Barriers: From Black Box to Intent-Driven, User-Friendly Power Management
  • Belgian Energy Communities: Key Challenges and Opportunities
  • Building Smarter Cities Through AI-Driven Digitization: A Case Study
  • Application of XLPE Cables in Electric Networks Supplying DC Traction Loads
  • Manglar Living Lab: Energy Management Through a Smart Microgrid with Artificial Intelligence
  • Grid Interactive Smart Buildings Coordination in Multi-Area Power Systems: A Delay-Robustness Analysis
  • Towards a Green Digital Currency for Smart Communities: An AI-Powered Ecosystem for Citizen Green Stewardship
  • Metaverse Technology for Public Services in Smart Cities: Opportunities and Challenges
  • Predicting Socio-Demographic Characteristics from Load Profiles with Varying Time Granularities
  • Understanding Intention to Adopt Smart Thermostats: The Role of Individual Predictors and Social Beliefs Across Five EU Countries
  • The Increasingly Critical Role of Communication Networks in Enhancing Power Grid Resilience Under Climate Change
  • Towards a Reference Model for Multimodal Transport Networks
  • Incorporating Animals as Stakeholders in ICT: Towards Truly Inclusive Digital Sustainability
  • Storytelling in Gamified Rhythmic Training
  • Digital and Sustainable Strategies for Preserving Minority Languages Through Music Education
  • Exploring the Role of Sound Design in Serious Games: Impact on User Experience and Learning Outcomes
  • From Push Buttons to Notes: A Hardware/Software Ecosystem for Inclusive Music Education
  • Face the Music: Summarizing Unscripted Music Practice from Audio
  • Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for Machines
  • Evaluating the Adherence of Synthetic Digital Educational Content to Kolb’s Learning Theory
  • Designing a Multimodal Interface for Text Simplification: A Case Study on Deepfakes and Misinformation Mitigation
  • Ontology-Based Framework for Personalized Home-Based Rehabilitation in Cerebral Palsy Care
  • Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts
  • Innovative Hyperspectral Data Fusion for Enhanced Mineral Prospectivity Mapping
  • Application of UAV, GNSS and InSAR Techniques in the Raw Material Supply Chain
  • An Ensemble Modeling Approach for Mapping Critical Mineral Distribution with LiDAR and PRISMA Data
  • S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry
  • AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data
  • Exploring and Mapping Marine Placers in Vigo Estuary Shoreline Using GIS Cartographic Tools
  • Evaluation of EnMAP Hyperspectral Data for the Identification of Placers in the Rias Baixas Region (Spain)
  • Towards a Smart City Playground for Research and Experimentation of Energy Use Cases in a University Campus Setting
  • Dynamic Simulation Model of a Renewable Energy Community for Small Municipalities
  • Centre for Energy and Environmental Technologies – Explorer (CEETe): Advanced Scientific Perspectives and Applications
  • Modeling and Simulation of Ethanol Steam Reforming for Sustainable Hydrogen Production
  • Interconnecting Urban Networks: A Novel Approach to Digital Twins Through GlassBox Adaptation
  • Towards an Optical Chemometric Sensor for Anti-Icing Agents on Asphalt Pavement
  • T-RAPPI: A Machine Learning Model for the Corredor Metropolitano
  • A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles
  • A Universal Railway Obstacle Detection System Based on Optical-Flow Guided Semi-Supervised Segmentation
  • Coordination for Complex Road Conditions at Unsignalized Intersections: A MADDPG Method with Enhanced Data Processing
  • Investigating the Safety Effects of Degraded Wireless Performance on Connected Longitudinal Driver Assistance Functions
  • Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation
  • DiverSim: A Customizable Simulation Tool to Generate Diverse Vulnerable Road User Datasets
  • Intersection with Highly Adaptive Traffic Lights Can Still Be Suitable for C-ITS Service GLOSA
  • Machine Learning-Based Anomaly Detection in Smart City Traffic: Performance Comparison and Insights
  • Development of a New Architecture for next Generation e-Bikes
  • Integrating 5G into VANETs: Methodological Approaches and Performance Evaluation Through Simulation
  • Adaptive Traffic Management for Emergency Vehicles in Work Zones
  • Interference-Based Reliability and Capacity Analysis for IEEE 802.11 Broadcast Ad-Hoc Networks on the Highway
  • Unraveling Urban Traffic Congestion Patterns in Bangladesh
  • Recognition of Typical Highway Driving Scenarios for Intelligent Connected Vehicles Based on Long Short-Term Memory Network
  • Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation
  • Hybrid Framework for Real-Time Traffic Flow Estimation Using Breadth-First Search
  • Landmark-Based Geopositioning with Imprecise Map
  • Towards Impact Assessment of Cooperative Routing on Traffic Efficiency: A System Dynamics Approach
  • Enhancing Railway Obstacle Detection System Based on Incremental Learning
  • Coupled Lateral and Longitudinal Control for Vehicle Platoons on Curved Roads
  • A Simulator Study on Car User’s Perceptions in Interaction with Autonomous Shuttles
  • Anomaly Detection for Traffic Management Purposes at Urban Intersections Using Infrastructure-Generated Vehicle-to-X Messages
  • Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Data
  • A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring
  • Misbehavior Detection in Connected Vehicle: Pre-Bayesian Majority Game Framework
  • Comparison of Parametrization Approaches for Scenario-Based Testing
  • Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure
  • Improving Object Detection Through Multi-Perspective LiDAR Fusion
  • Real-Time Cyclist Prioritization with Fuzzy Logic-Based Signal Control
  • Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence
  • Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework
  • Topology-Aware Prioritized Patching for EV Charging Infrastructure Vulnerabilities
  • D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems
  • Technology Acceptance Modelling for Investigating the Uptake of Electric, Connected, Autonomous, and Shared Mobility Technologies
  • Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists
  • Exploring Shared Gaussian Occupancies for Tracking-Free, Scene-Centric Pedestrian Motion Prediction in Autonomous Driving
  • Identification of Traffic Bottlenecks in Central Dhaka Through Spreading Graph-Based Congestion Analysis
  • A Case Study on Defining Infrastructure Sensor Positions with Consideration of Existing Infrastructure
  • A Tool for V2X Infrastructure Placement
  • Towards Synergistic Effects of C-ITS Services: Assessing the Joint Impact of GLOSA and CACC on Traffic Efficiency and Sustainability
  • Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS
  • FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
  • Quality and Trust Indicators of Digital Road Infrastructure Data Are Essential to Improve Its Usability: An Intelligent Speed Assist (ISA) Study
  • Integration of On-Demand Ride-Pooling into a Microscopic Traffic Flow Simulation Environment
  • Proposal for Thermal Management Systems for e-Bike Controllers
  • Development and Validation of a Vehicle Corner Test Rig Designed for Hardware-in-the-Loop Testing
  • A Dynamic Traffic Management System for Itinerary Optimization
  • A Framework for Disentangling Efficiency from Effectiveness in External HMI Evaluation Procedures for Automated Vehicles
  • Comparison of Point Cloud and Surface Based Mapping for Autonomous Vehicles
  • Readiness for Small-Sized Parking Policies: A Path to Sustainable Urban Mobility
  • A Greedy Dynamic Task Offloading and Service Management in V2V Networks
  • Road Signs Perception: Eye Tracking Case Study in Real Road Traffic
  • Intelligent Pavement Condition Rating System for Cycle Routes and Greenways
  • Enhancing Pavement Condition Assessment: A Comprehensive Review of Affordable Sensing Technologies for Cycle Tracks
  • Adaptive Interaction Field Framework for Risk-Aware Navigation of Driverless Minibus in Pedestrian Zones
  • Impact of Fleet Electrification and Charging Infrastructure on Free-Floating Car Sharing in Milan
  • Application of Consensus Protocols to Vehicular Communications Scenarios for the Negotiation of Cooperative Traffic Maneuvers
  • Spatio-Temporal Traffic Prediction for Efficient ITS Management
  • Real-Time Network-Aware Roadside LiDAR Data Compression
  • Routing and Charge Planning Strategies for Ridesharing EV Fleets
  • Bus Arrival Time Prediction via Hybrid LSTM Using GPS-Derived Run and Dwell Times
  • OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Priors
  • RUTGe: Realistic Urban Traffic Generator for Urban Environments Using Deep Reinforcement Learning and SUMO Simulator
  • The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework
  • Multimodal Route Planning Integrating Soft Mobility: A Real-World Case Study for Student Mobility
  • Understanding Car Usage Patterns for V2G Integration: Insights from Dutch Travel Diaries
  • Time-Aware Contrastive Representation Learning for Road Network and Trajectory
  • Energy Consumption Prediction with Uncertainty Quantification for Electric Truck Operations: A Data-Driven Approach
  • Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation
  • Optimizing Truck Flow in Ship Unloading: A Real-Time Simulation Approach for the Port of Itaqui
  • Evaluating Network Intrusion Detection Models for Enterprise Security: Adversarial Vulnerability and Robustness Analysis
  • Uniting Mcdonald’s Beta and Liouville Distributions to Empower Anomaly Detection
  • Domain Ontology for Semantic Mediation in the Data Science Process
  • Enhancing Post-Incarceration Support: A Custom Chatbot Solution for the Brazilian Prison System
  • Business Impacts of Data Analytics in the Service Sector: A Systematic Literature Review
  • Deep Reinforcement Learning for Selecting the Optimal Hybrid Cloud Placement Combination of Standard Enterprise IT Applications
  • Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges
  • Exploring Trust in Blockchain Technology: A Critical Review of the Theoretical Acceptance Models
  • Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis
  • Recommending Points of Interest with a Context-Aware Dual Recurrent Neural Network
  • A LoRaWAN Multi-Network Server Application for Smart Cold Chain Tracking in Remote Areas
  • An Approach for Product Record Linkage Using Cross-Lingual Learning and Large Language Models
  • Digital Platform-Based Value Creation in Micro-Enterprise Networks
  • Optimizing Edge-Based Query Processing for Real-Time Applications
  • On the Text-to-SQL Task Supported by Database Keyword Search
  • Ontology and AI Integration for Real-Time Detection of Cyberbullying Among University Students
  • XARF: Explanatory Argumentation Rule-Based Framework
  • Towards the Automated Selection of ML Models for Time-Series Data Forecasting
  • Resource-Efficient Monitoring of Energy Storage Systems During Transport and Storage: A Data-Driven Approach to Early Short Circuit Detection
  • Evaluating Serverless Function Deployment Models on AWS Lambda
  • A Learning Approach for User Localization and Movement Prediction with Limited Information
  • Exploring Links Between Social Media Habits, Loneliness, and Sleep: A Formal Concept Analysis Approach
  • A Knowledge Discovery Pipeline to Describe the High Cholesterol Profile in Young People Using GA for Feature Selection
  • Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses
  • Convolutional Neural Networks Enriched by Handcrafted Attributes (Enriched-CNN): An Innovative Approach to Pattern Recognition in Histological Images
  • Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise
  • Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning
  • Digitalization in Small-Load-Carrier Management
  • Data Smells Are Sneaky
  • Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms
  • SIR SQL for Logical Navigation and Calculated Attribute Free Queries to Base Tables
  • Modelling and Clustering Patterns from Smart Meter Data in Water Distribution Systems
  • Mapping and Predicting Crimes in Small Cities Using Web Scraping and Machine Learning
  • Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images
  • Author Beta-Liouville Multinomial Allocation Model
  • Unsupervised Motif and Discord Discovery in ECG
  • Empowering Pharmaceutical Retail Storefronts: An Exploratory Study on Classification and Association Techniques
  • Handling Inconsistent Government Data: From Acquisition to Entity Name Matching and Address Standardization
  • Integrating Satellite Images Segmentation and Electrical Infrastructure Data to Identify Possible Urban Irregularities in Power Grid
  • A Mixed-Integer Linear Programming Model for Repeaters and Routers Location-Allocation Problem in Open-Pit Mines
  • A Solution Procedure for Fixed Mammography Unit Location-Allocation and Mobile Mammography Unit Routing Problems
  • Retrieval of Similar Behaviors of Human Postural Control from the Center of Pressure in Elderly People with Sarcopenia
  • Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review
  • An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV
  • On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
  • Large-Scale Group Brainstorming and Deliberation Using Swarm Intelligence and Generative AI
  • Predicting B2B Customer Churn and Measuring the Impact of Machine Learning-Based Retention Strategies
  • Process Mining for Demographic Insights: A Subpopulation Analysis in Healthcare Pathways
  • A Mobile App for Food Purchase Decision and Waste Minimizing Using IoT, Social Tools, ML and Chatbots
  • Automatic Lead Qualification Based on Opinion Mining in CRM Projects: An Experimental Study Using Social Media
  • Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning
  • Zero-Shot Product Description Generation from Customers Reviews
  • Enhancing IoT Interactions with Large Language Models: A Progressive Approach
  • A Hybrid Music Recommendation System Based on K-Means Clustering and Multilayer Perceptron
  • Pancreatic Mass Segmentation Using TransUNet Network
  • Knowledge Management in Sustainable Supply Chains in a Developing Field: Case Natural Products
  • Prompt-Driven Time Series Forecasting with Large Language Models
  • Evaluating the Use of Open-Source and Standalone SAST Tools for Detecting Vulnerabilities in C/C++ Projects
  • A LLM-Powered Agent for Summarizing Critical Information in the Swine Certification Process
  • Using Graph Convolutional Networks to Rank Rules in Associative Classifiers
  • Pattern Recognition in Biosequences Using Artificial Immune System
  • Towards a RAG-Based WhatsApp Chatbot for Animal Certification Platform Support
  • A Survey of Evaluating AutoML and Automated Feature Engineering Tools in Modern Data Science
  • Using Large Language Models to Support the Audit Process in the Accountability of Interim Managers in Notary Offices
  • Towards an Ontology-Based Approach for Enhancing Animal Sanitary Event Management
  • A Framework Model for Supporting Transparent Polyglot Persistence with a Unified API and Extensible for Different Database Types
  • Optimizing Musical Genre Classification Using Genetic Algorithms
  • Text-to-SQL Experiments with Engineering Data Extracted from CAD Files
  • Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing
  • Cost-Effective Strabismus Measurement with Deep Learning
  • Development of a Big Data Mechanism for AutoML
  • Integration of Data Science in Institutional Management Decision Support System
  • A Data Annotation Approach Using Large Language Models
  • The Changing Importance of Technology Skills for Accountants in the Context of Artificial Intelligence
  • Anomaly Detection Techniques in the Service of Data Labeling for Fault Diagnosis in Manufaturing
  • Automated Detection of Fake Biomedical Papers: A Machine Learning Perspective
  • Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data
  • Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images
  • A Modularized and Reusable Architecture for an Embedded MAS IDE
  • Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations
  • Selection of Retransmitter Nodes for Alert Message Transmission in VANETs Using a Multicriteria Decision-Making Approach Based on Vehicle Credibility
  • Towards a Standardized Business Process Model for LLMOps
  • Synthetic Data-Driven Object Detection for Rail Transport: YOLO vs RT-DETR in Train Loading Operations
  • Leveraging Transfer Learning to Improve Convergence in All-Pay Auctions
  • From Collection to Analysis: A Blockchain Solution for Transparent and Reliable Chain of Custody in the O&G Sector
  • Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence
  • Predicting Employee Turnover Using Personality Assessment: A Data-Driven Approach
  • Data Governance in Education: Addressing Challenges and Unlocking Opportunities for Effective Data Management
  • Mathematical Modeling and Simulation for Optimizing Truck Dispatch in Bulk Unloading Operations: A Case Study at the Port of Itaqui
  • A Predictive Greenhouse Digital Twin for Controlled Environment Agriculture
  • Economic Token Models in ReFi Projects: Token Design and Incentive Mechanisms Analysis
  • Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review
  • A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments
  • TGAN and CTGAN: A Comparative Analysis for Augmenting COVID 19 Tabular Data
  • Human Activity Recognition on Embedded Devices: An Edge AI Approach
  • EM-Join: Efficient Entity Matching Using Embedding-Based Similarity Join
  • Comparative Study of Large Language Models Applied to the Classification of Accountability Documents
  • Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees
  • Conference Management System Utilizing an LLM-Based Recommendation System for the Reviewer Assignment Problem
  • Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework
  • IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems
  • Applying Prototyping and Exploratory Testing to Ensure Software Quality in an Information System for Power Tampering Detection: An Experience Report
  • The Future of BPM in the Era of Industry 4.0: Exploring New Opportunities for Innovation
  • Towards a VR-BCI Based System to Evaluate the Effectiveness of Immersive Technologies in Industry
  • Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns
  • Accident Prevention in Industry 4.0 Using Retrofit: A Proposal
  • Why Digital Maturity Models Fail: An Exploratory Interview Study Within the Digital Transformation Steering Process
  • Using Historical Information for Fuzzing JavaScript Engines
  • Micro4Delphi: A Process for the Modernization of Legacy Systems in Delphi to Microservice Architecture
  • Usability in Software for People with Disabilities: Systematic Mapping
  • Improving Clarity and Completeness in User Stories: Insights from a Multi-Domain Analysis with Developer Feedback
  • Multiple Sequence Alignment Using Ant Colony Optimization with Chaotic Jump
  • Event Modeling for Reasoning of Consequences
  • Applying Checklist and Design Patterns for Evaluating and Redesigning a Dashboard Interface of a Decision Support Information System
  • Business Process Design Support with Automated Interviews
  • PriPoCoG: Empowering End-Users’ Data Protection Decisions
  • Unveiling Business Processes Control-Flow: Automated Extraction of Entities and Constraint Relations from Text
  • Evaluating Performance and Acceptance of the UUXE-ToH Questionnaire for Touchable Holographic Solutions
  • Perception of Professionals Regarding Behavior-Driven Development (BDD): A Descriptive and Statistical Study
  • The Impact of Innovation Management Systems on Firms’ Innovation Performance: The Mediating Role of Openness to Innovation
  • Advancing Cyberbullying Detection: A Hybrid Machine Learning and Deep Learning Framework for Social Media Analysis
  • Assessing Cybersecurity Readiness Among SME
  • Reviewing Reproducibility in Software Engineering Research
  • Method for Evaluating the Quality of Serious Games in Medical Education
  • A Framework for Agile and UX Integration in Healthcare Software Development: A Kanban Approach
  • Enhancing Usability in Large Map Interactions: A Novel Magnifying Lenses Technique for Tabletops
  • Data Privacy in Educational Contexts: Analyzing Perceptions, Practices and Challenges in Personal Data Protection
  • Diagnosing BPM Governance: A Case Study of Facilitators, Barriers, and Governance Elements in a Hierarchical Public Instituition
  • Bridging the Gap in Agricultural Sharing Economy: A Systematic Review for Evaluating Information Systems for Machinery Efficiency
  • Prototyping Smart City Solutions with Metaverse and Digital Twins: A Systematic Literature Mapping
  • Industry 4.0 Information Systems for Materials Circularity in Supply Chains: Industry Issues and Research Directions
  • Agile Project Management in Government Software Development: Addressing Challenges in Education Public Policy
  • SWeeTComp: A Framework for Software Testing Competency Assessment
  • Behaviour and Execution Semantics of Extended Sequence Edges in Business Processes
  • Stakeholder Engagement in Enterprise Architecture: Enablers and Barriers in the Private Sector
  • Remote Emotional Interactions via AI-Enhanced Brain-to-Body Neurophysiological Interface
  • User Stories: Does ChatGPT Do It Better?
  • Challenges and Approaches to Enhance Usability in Healthcare Applications: A Systematic Literature Review
  • Mapping Open Design and Participation in Smart City Solutions: A Systematic Literature Review
  • 5G for the Future of Telecommunications: How Innovation Platforms Redefine the Mobile Network Operators' Role
  • On the Imperative of Interdisciplinarity in Defining Digital Exclusion?
  • Transformation of Cyclic Process Models with Inclusive Gateways to Be Executable on State-of-the-Art Engines
  • Rethinking Usability Assessment: Integrating UX and Information Architecture
  • Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data
  • DynaSchema: A Library to Support the Relational Data Schema Evolution for the Self-Adaptive Software Domain
  • Development of a Context-Free Data Ingestion Mechanism for AutoML
  • Guidelines for the Application of Event Driven Architecture in Micro Services with High Volume of Data
  • Integration of User-Centered Design into the Scrumban Framework: A Case Study on the Groovoo Platform
  • Yearning for Love: Exploring the Interplay of Parasocial Romantic Attachment, Loneliness, and Purchase Behavior Within Dating Simulation Games
  • Reproducibility Practices of Software Engineering Controlled Experiments: Survey and Prospective Actions
  • UX4ALL: A Repository of User Experience Evaluation Methods
  • Exploring the Use of ChatGPT for the Generation of User Story Based Test Cases: An Experimental Study
  • A Process to Compare ATAM and Chapter 9 of ISO/IEC/IEEE 42020:2019
  • StreamVis: An Analysis Platform for YouTube Live Chat Audience Interaction, Trends and Controversial Topics
  • AI-Based Approaches for Software Tasks Effort Estimation: A Systematic Review of Methods and Trends
  • Outpacing the Competition: A Design Principle Framework for Comparative Digital Maturity Models
  • Personalized Task Reassignment in Industry 5.0: A MILP-Based Solution Approach
  • Elicitation and Documentation of Explainability Requirements in a Medical Information Systems Context
  • Pilot Study on the Effects of Gamification and Virtual Reality on the Shopping Experience
  • Critical Characteristics of Enterprise Architects Influencing Stakeholder Engagement Effectiveness
  • VR-ADAPT: An Immersive Learning and Training Environment for Wheelchair Users with Recent Spinal Cord Injuries
  • Exploring Stakeholders’ Practical Needs for GDPR Compliance
  • Analyzing User Story Quality: A Systematic Review of Common Issues and Solutions
  • Using Multicriteria Decision Method to Score and Rank Serverless Providers
  • From Legislation to Human Flourishing: Unveiling the Characteristics of Digital Well-Being by Taxonomy Development from an EU Perspective
  • Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis
  • Exploring State Chief Information Officers Involvement in Information Technology Strategic Planning for Remote Collaboration
  • Predictive Regression Models of Machine Learning for Effort Estimation in Software Teams: An Experimental Study
  • Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management
  • Use of Knowledge Management in IDiAL
  • Jetson’s View: Designing Trustworthy Air Taxi Systems
  • Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case
  • Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team
  • Cybersecurity Risk Assessment Through Analytic Hierarchy Process: Integrating Multicriteria and Sensitivity Analysis
  • Dark Patterns in Games: An Empirical Study of Their Harmfulness
  • Implementing IT Enterprise Architecture to Improve the Provision of IT Resources for Public Sector
  • Development and Preliminary Evaluation of a Technology for Assessing Hedonic Aspects of UX in Text-Based Chatbots
  • Customer-Facing Social Robots in the Grocery Store: Experiences from a Field Trial
  • Benchmarking Efficiency in Mediterranean Ports: A DEA-Based Analysis of Connectivity and Operational Performance
  • Acceptance Criteria Validation in Agile Projects Using AI and NLP Techniques
  • Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper
  • Extending BPMN to Enable the Pre-Modelling of Flexibility for the Control Flow of Business Processes
  • Proposal for Formalization Using Description Logic of Undesirable Models in Business Process Management
  • Effort Estimation of Large-Scale Enterprise Application Mainframe Migration Projects: A Case Study
  • Big Data Fortaleza Platform: Quality Improvement with Testing Process
  • Strategic Placement of Branding Elements in Digital Marketing: Insights from Eye-Tracking Data
  • The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants
  • Enhancing Continuous Integration Workflows: End-to-End Testing Automation with Cypress
  • Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer
  • Which Factors Influence the Success of Communities of Practices in Large Agile Organizations, and How Are They Related?
  • Decentralized Car Rental System: Ensuring Security with Blockchain Smart Contracts
  • Trust-Centric Blockchain Framework: A Three-Layered Architecture for Securing Open and Private Systems
  • A Comparative Analysis of Cryptographic Techniques for Privacy Preservation in Blockchain-Based Dispute Resolution
  • A Blockchain-Based Fraud Detection and Vehicle Damage Assessment System Using Machine Learning and Computer Vision
  • Familiarity Breeds Confidence: Creating Effective Digital Literacy Resources for Older Adults
  • Evaluating the Impact on Usability and Acceptance of ECAs in m-Health Applications for Older Adults
  • Early Detection of Chronic Stress Using Wearable Devices: A Machine Learning Approach with the WESAD Database
  • FlexiDialogue: Integrating Dialogue Trees for Mental Health with Large Language Models
  • BOVNet: Cervical Cells Classifications Using a Custom-Based Neural Network with Autoencoders
  • Pneumonia Detection in X-Ray Chest Images Based on Convolutional Neural Networks and Data Augmentation Methods
  • How Many Times Do I Need to Say, ‘It Is Me’? Investigating Two-Factor Authentication with Older Adults in Norway
  • Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians
  • Open Complex Systems Approach Utilizing ICT to Address Immune-Related Diseases in Aging Society
  • Mobile Application for Optimizing Exercise Posture Through Machine Learning and Computer Vision in Gyms
  • LogYourEatingHabits: A Dietary App Focusing on Eating Habits that Promotes Healthy Lifestyles
  • Deep Learning Characterization of Volatile Organic Compounds with Spectrometer-on-Card
  • Perceptions and Acceptability of Sensor-Based Activity Recognition Systems Among Older Adults and Their Families
  • Unveiling Insights from Hematobiometry Data: A Data Science Approach Using Data from a Quito Clinical Laboratory
  • Older Adults Say Yes to Technology: How Digital Empowerment of this Audience Helps Reduce Loneliness
  • Emotional Dynamics in Semi-Clinical Settings: Speech Emotion Recognition in Depression-Related Interviews
  • Unified Parkinson’s Disease Rating Scale Rest Tremor Score Estimation Using the Fundamental Frequency
  • Promoting Healthy Development in Early Childhood: A Proposal of a Mobile Application
  • Detecting Suicidal Ideation on Social Media Using Large Language Models with Zero-Shot Prompting
  • Redesign and New Evaluation of a Pervasive Game for Older Adults
  • Digitalization of an Integrated “Social and Health” Care Path
  • Multimodal Pain Assessment Based on Physiological Biosignals: The Impact of Demographic Factors on Perception and Sensitivity
  • Interactive Solutions for Advancing Attention Deficit Hyperactivity Disorder Diagnosis and Management in Children
  • Social Media as a Tool for Promoting Inclusion: An Analysis of the Facebook and Instagram Pages of Inclusive Spaces
  • Design of a Digital Solution to Motivate Older Adults to Follow Cognitive and Physical Training for an Active and Healthy Ageing
  • MentalRAG: Developing an Agentic Framework for Therapeutic Support Systems
  • Digital Touchpoints: Generating Synthetic Data for Elderly Smartphone Interactions
  • StreamTag: A Platform for Flexible Tagged Data Management
  • Comparing Large Language Models for Automated Subject Line Generation in e-Mental Health: A Performance Study
  • Towards Dependable, Interoperable and Evolvable Personal Health Data Spaces Within the European Health Data Space
  • iSupport-Portugal: Challenges and Insights in Designing a Web Platform for Intervention and Research on Informal Dementia Caregivers
  • Password Authentication for Older People: Problems, Behaviours and Strategies
  • Recommendations of Embodied Conversational Agents to Healthcare Applications
  • A Streamlined Lesion Segmentation Method Using Deep Learning and Image Processing for a Further Melanoma Diagnosis
  • The Role of Gender and Clear Communication in Digital Health Engagement for Blood Clot Management
  • RAM-IoT: Risk Assessment Model for IoT-Based Critical Assets
  • DLT-Based Approach for Secure and Cyber Resilient Resource Constrained IoT Devices: A Survey on Recent Advances
  • Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments
  • A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients
  • PatSimBoosting: Enhancing Patient Representations for Disease Prediction Through Similarity Analysis
  • A Comparative Evaluation of Zero Knowledge Proof Techniques
  • Inventory Management System Through the Integration of RPA and IoT to Enhance Processes in SMEs Within Peru’s Automotive Sector
  • Implementation of Rank Attack and Its Mitigation in RPL-Based IoT Networks
  • Dynamic Obfuscation for Secure and Efficient Multi-Cloud Business Processes
  • Approach to Deploying Batch File Data Products in a Big Data Environment
  • Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures
  • Agri-Guard: IoT-Based Network for Agricultural Health Monitoring with Fault Detection
  • A Technology Review of Zero Knowledge Proof Techniques
  • Data Network Game: Enabling Collaboration via Data Mesh
  • Internet of Things Devices Management for Smart Cities
  • L2C: Learn to Clean Time Series Data
  • Enhanced Intrusion Detection in IIoT Networks: A Lightweight Approach with Autoencoder-Based Feature Learning
  • Information Flow Control for the Internet of Things
  • Real-Time Manufacturing Data Quality: Leveraging Data Profiling and Quality Metrics
  • PacketZapper: A Scalable and Automated Platform for IoT Traffic Collection and Analysis
  • Automated Test Input Generation Based on Web User Interfaces via Large Language Models
  • A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries
  • IoT-Driven Livestock Monitoring: Leveraging LoRaWAN for Behavior Analysis and Enhanced Farm Management
  • Unravelling the Sequential Patterns of Cyber Attacks: A Temporal Analysis of Attack Dependencies
  • Smoke Segmentation Improvement Based on Fast Segment Anything Model with YOLOv11 for a Wildfire Monitoring System
  • A Comparative Study of Log-Based Anomaly Detection Methods in Real-World System Logs
  • Making Use of Design Patterns in IoT Middleware Implementation
  • Understanding How to Use Open-Source Libraries for Differentially Private Statistics on Energy Metering Time Series
  • Sockpuppet Detection in Wikipedia Using Machine Learning and Voting Classifiers
  • Analysis and Design of Smart Components in Digital Energy Twins
  • A Comparative Analysis of Anonymous and Non-Anonymous Authorization Architectures for IoT Environments in Cooperative Intelligent Transport Systems
  • Enhancing Scalability in Wi-Fi IoT Networks with Logical Data Plane Segregation Using SDN Principles
  • A Novel Wi-Fi Mesh Network Framework for Efficient Mobile Data Transmission
  • Quantum Convolutional Neural Networks for Image Classification: Perspectives and Challenges
  • An AI-Driven Methodology for Patent Evaluation in the IoT Sector: Assessing Relevance and Future Impact
  • Towards a Digital Twin of the Cardiovascular System
  • Enhancing Older Adults’ Well-Being Through QoS-Aware Edge-Cloud eHealth Applications
  • The Role of Embodied Conversational Agents in Supporting Older Adults with Hypertension: A Focus Group Study
  • Dignified Aging: Experience Report at the Municipal Council for the Rights of the Elderly of Rio De Janeiro (COMDEPI-RIO)
  • DanceMove: Promoting Social Interaction and Healthy Ageing Through Foot-Interaction
  • Television Is Powerful: An iTV Solution as a Motivator of Social Interactions Among Older Adults
  • Bridging Generations: The Role of Digital Media in Fostering Intergenerational Collaboration and Knowledge Exchange
  • Connection Between the Real World and the Digital World: Voice Assistants as Promoters of Socialization for Older Adults
  • Human Fall Detection in Poor Lighting Conditions Using CNN-Based Model
  • Measuring Fall Risk Using the Internet-of-Things Chair
  • Pseudorandom Number Generators, Perfect Learning and Model Visualization with Neural Networks: Expanding on LFSRs and Geffe
  • Automating the Assessment of Japanese Cyber-Security Technical Assessment Requirements Using Large Language Models
  • Generating Realistic Cyber Security Datasets for IoT Networks with Diverse Complex Network Properties
  • Design of an IoT-Driven Software Architecture for an Automated Robotic Fueling System in Open-Pit Mining
  • Anomalous IoT Behavior Detection by LSTM-Based Power Waveform Prediction
  • Cybersecurity Indicators Within a Cybersecurity Testing and Monitoring Framework
  • A Study of Anomalous Communication Detection for IoT Devices Using Flow Logs in a Cloud Environment
  • EV-Connect: Energy Efficient & Incentive Cost Based Model for Range Anxious EVs with Multi-Hop Socially Assisted V2V Charging
  • Intelligent Anomaly Detection for Context-Oriented Data Brokerage Systems
  • Clustering-Based Pattern Prediction Framework for Air Pollution Prediction
  • Graph-Based Learning for Multimodal Route Recommendation
  • The Integration of Time Series Anomaly Detection into a Smart Home Environment
  • Towards Client Engagement Using RAG System with Pattern Prediction Framework
  • Anomaly Detection on Univariate Time Series Data Using Exponentially Weighted Moving Average (AnEWMA)
  • Simulation Architecture for Electric Vehicle Charging Optimization in Dresden's Ostra District
  • "Give Me the Code": Log Analysis of First-Year CS Students' Interactions with GPT
  • "ChatGPT Is Here to Help, not to Replace Anybody": An Evaluation of Students' Opinions on Integrating ChatGPT in CS Courses
  • Gamify: Towards Tailored Gamification Informed by Users' Personality, Emotional State, and Demographics
  • Impact of Business Process Masking on Organizations' Policies
  • Emotionalyzer: Player's Facial Emotion Recognition ML Model for Video Game Testing Automation
  • OptiGuide+: An Interactive Recommender System for Virtual Things
  • Multilevel Hypergraphs: A Conceptual Approach for Complex System Database Modelling
  • The Effects of Digital Twins Development on System's Long-Term Performance, Potential Capabilities, and Possible Benefits
  • Emotions and Experiences on the Road: Unveiling UX in Automotive Infotainment Through YouTube Comments
  • Bridging the Cost Gap: A Comprehensive Analysis of CAPEX and OPEX for Smart Home Transition from a Provider's Perspective
  • eXplainable Artificial Intelligence Framework for Structure's Limit Load Extimation
  • EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging
  • Sentiment-Aware Machine Translation for Indic Languages
  • Low-Cost Photoacoustic System for Biomedical Applications
  • Exploring Endothelial Cell Adhesion to High-Resolution 3D Printing Materials for Advanced Organ-on-Chip Fabrication
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  • Detecting Duplicate Effort in GitHub Contributions
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  • Identifying Testing Behaviour in Open Source Projects: A Case Analysis for Apache Spark
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  • Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine
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  • Introducing the Cluster-Momentum Portfolio in Alternative Risk Premia Investing
  • A Clustering Approach for S&P 500 Index Based on Environmental, Social and Governance Ratings of Multiple Agencies
  • Corporate Venturing in Sustainability Transition: Conceptual Framework
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  • The Role of Sustainable Loan Products in Managing Sustainability Risks in German Regional Banks
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  • Analysing Italian Historical Small Towns: A Cultural and Geographic Mosaic of Identity
  • Analysing Italian Historical Small Towns: A Cultural and Geographic Mosaic of Identity
  • Implementing Healthcare Innovation via ISO Standards: An Exploratory Literature Overview
  • Implementing Healthcare Innovation via ISO Standards: An Exploratory Literature Overview
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  • Advanced Supervised Machine Learning Algorithms in Credit Card Fraud Detection
  • Differential Interferometric Synthetic Aperture Radar-Based Landslide Monitoring: A Case Study of Wayanad, India
  • Preservation and Protection of Cultural Heritage in High Tourism Areas Using GIS Technology: A Case Study of the Medieval City of Rhodes
  • ADAclassifier: Trying to Ascertain Why the Ground Is Moving
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  • Navigating Points of Interest: The Dog-Walker Pathfinding Algorithm
  • Characterizing Machine Guidance in Geospatial Analysis
  • Modelling the Road Network as an Expression of Historical Spatial System Change in the Klaipeda Region (Lithuania)
  • Analysis of Surface Thermal Behavior in Different Local Climate Zones (LCZ): A Case Study in Bragança (Portugal) (2013-2024)
  • Hazard Modeling Using Sentinel Data for Risk Assessment and Management of Tsho Rolpa Glacier, Nepal
  • An Innovative Model Based on Carvalho Rodrigues's Entropy to Assess Governance in Africa: A Guinea-Bissau Case Study
  • Developing a Geospatial Framework for Calculating a 15-Minute City Index (FMCI): The Case of Quezon City
  • Low-Cost GNSS Receivers Reliability Using Centipede RTK Network for Land Surveying
  • The Impact of Data Science on Geography: A Review with Optimization Algorithms
  • Remote Sensing-Based Temporal Analysis of Aletsch Glacier Retreat (1990–2020)
  • Proposal for a Common Conceptual Schema for Metadata Integration and Reuse Across Diverse Scientific Domains
  • Implementing the Perturbation Approach for Reliability Assessment: A Case Study in the Context of Flight Delay Prediction
  • Fuzzy Logic for Neonatal EEG Analysis: A Systematic Review
  • Business Process Modeling Techniques for Data Integration Conceptual Modeling
  • Exploring the Use of a Business Simulation Game in Professional Certification
  • Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity
  • Digital Transformation of Education: An Integrated Framework for Metaverse, Blockchain, and AI-Driven Learning
  • Exploring Healthcare Virtual Simulation Modality Preferences an Interprofessional Learning Experience
  • Cybersecurity Early Education: A Review of Current Cybersecurity Education for Young Children
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  • Inclusive and Engaging Virtual Museum Experience for Children: A Usability Evaluation
  • Banking Strategies and Software Solutions for Generated Test Items
  • A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG)
  • Generating SQL-Query-Items Using Knowledge Graphs
  • Tracking the Progression of Burned Areas in Tropical Peat Swamp Forests by Integrating Sentinel Optical and SAR Imagery: A Case Study of Binsuluk Forest Reserve in Sabah, Malaysia
  • SEALM: Semantically Enriched Attributes with Language Models for Linkage Recommendation
  • Gamification in Architecture: The Future Interface in Design as an Incentive to Participatory Democracy
  • Integrating Serious Games in Education: Advancing Inclusive Design
  • Relationship Between Eye-Tracking Metrics and Cognitive Load in Mixed Reality
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  • Automatic Item Generation Integrated into the E-Assessment-System JACK
  • Evaluation of LLM-Generated Distractors of Multiple-Choice Questions for the Japanese National Nursing Examination
  • Design Thinking and a Human-Centered Approach to Explore the Potential of Mobile Phone and AI-Enabled Just-in-Time Mental Health Solution for University Students in India
  • CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks
  • The Effect of Consumer Acquisition Process on Consumer Satisfaction in Purchasing Fresh Food Online in the Context of Uncertainty
  • Advancing Real-Time Land Cover Classification for Biomass Density and Carbon Stocks Estimation in Google Earth Engine
  • Person Detection from UAV Based on a Dual Transformer Approach
  • Synthetic Data Generation and Federated Learning as Innovative Solutions for Data Privacy in Finance
  • Machine Learning for Identifying Potential Photovoltaic Installations on Parking Areas
  • A Luminance-Based Lane Marking Candidate Quality Assessment for Autonomous Driving in GIS Contexts
  • Analyzing Multitemporal Datasets to Monitor Topographic Changes in Rio Cucco Italy
  • Satellite Images and Spectral Vegetation Indices as Auxiliary Tools to Monitoring Fuel Availability in Areas Prone to Wildfire: Study Case in the Northern Region of Portugal
  • Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics
  • Advancing Airport Land Subsidence Monitoring Through Time-Series InSAR Technology
  • Surface Current Visualization in Waterway Based on Mike 21 Model and S-100 Standards
  • Assessment of Fine-Tuned Canopy Height Maps from Satellite Imagery: A Case Study in the Czech Republic
  • Combining Redirection with Common Game Elements
  • Enhancing Web Development Education in Higher Education: A Comparison of Traditional and Flipped Classroom Models
  • LiDAR-Based 3D Reconstruction for Robotic Pipelines Inspection
  • Enhancing Privacy, Censorship Resistance, and User Engagement in a Blockchain-Based Social Network
  • Advancing Suicide Prevention Through Immersive Technology
  • Software Sustainability Perceptions in the Industry: A Questionnaire Study
  • Using Adaptive Neuro-Fuzzy Inference System and Deep Learning to Predict and Estimate the Current Stock Prices
  • Artificial Intelligence Harm and Accountability by Businesses: A Systematic Literature Review
  • Micro-Frontend Architecture in Software Development: A Systematic Mapping Study
  • Vehicle Longitudinal Speed Estimation Using 3DOF Localization Information and Genetic Solver
  • Enhancing Accuracy and Efficiency in Physical Count Processes: Leveraging AI, IoT, and Automation for Real-Time Inventory Management in Supply Chain
  • SDG Disclosure and Financial Performance: Evidence from Europe
  • Sustainability in Product Models: Leveraging Adjacent Information for CO 2 Profiling in Configurations
  • Domain Expertise and AI Adoption: Insights into HR Managers’ Unified Perspectives Across Roles and Contexts
  • Usability Evaluation of Requirement Collaboration Features in Requirements Management Tools
  • Critical Success Factors for Enterprise Architecture: Survey, Taxonomy, and Solutions
  • Traumatic Rescue Experiences and Post-Traumatic Stress Disorder in Firefighters: The Moderating Roles of Inhibitory Control and Cognitive Flexibility
  • N2ICT-CIO: Clinical Informatics Outlet via Neural Networks for Inclusive, Contextual, and Tractable eHealth
  • Assessing Human Activity in Elderly People's Homes Using the Dempster-Shafer Theory
  • Smart Rideshare Matching: Feasibility of Utilizing Personalized Preferences
  • ADORe: Unified Modular Framework for Vehicle and Infrastructure-Based System Level Automation
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  • Large Language Model-Informed Geometric Trajectory Embedding for Driving Scenario Retrieval
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  • Student Views in AI Ethics and Social Impact
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  • Position Paper: Enhancing the Learning and Mastery of Academic Writing in the Serbian Language Through an AI Tool with Adaptive Scaffolding
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  • Fuzzy MCDM Framework for Risk Management in Construction Supply Chain
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  • Exploring Feature Extraction Techniques and SVM for Facial Recognition with Image Generation Using Diffusion Models
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