• On the Application of Short-Term Heart Rate Variability Indices to Track Changes in Cognitive Arousal
  • Low Profiled Angiographic Catheter with Enhanced Pushability and Flexibility: A Novel Design, Fabrication, and in-Vitro Analysis
  • Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents
  • Monitoring of Vital Signs in the Home Environment: A Review of Current Technologies and Solutions
  • Analysis of a Simple Method to Change the Wettability of the PDMS Surface for Biomicrofluidic Applications
  • In Vitro Flow Study in an Intracranial Aneurysm Biomodel Manufactured by Additive Manufacturing
  • A Novel Multi-Modal Sensing System Prototype for Cardiovascular and Cardiopulmonary Monitoring
  • A Novel Microfluidic Pressure Sensor for Traditional Chinese Medicine (TCM) Pulse Data Collection and Analysis
  • In silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models
  • 4D Printed Surgical Devices: Current Capabilities and Challenges
  • Bioimpedance Simulations for the Monitoring of Fluid Overload in Heart Failure Patients
  • Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement
  • Simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters
  • A Portable System for Screening of Cervical Cancer
  • A Modular BLE-Based Body Area Network Embedded into a Smart Garment for Rescuers Real-Time Monitoring in Emergency Scenarios
  • Enhancing Men’s Health Management at Home with an Easy-to-Use, App-Connected Prostate Self-Testing Device
  • Towards a Synthetic Tissue Model of the Lower Urinary Tract
  • Biomechanical System Prototype with Advanced Biofeedback for Rehabilitation of Bedridden Patients
  • Pattern Genomic Probes Inside Capillary Tubes by Magneto Lithography Method Producing Parallel Detection of DNA and RNA
  • An Analysis of IoMT Vital Signs Measurement Devices for Practical and Secure Remote Clinical Monitoring
  • Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study
  • Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging
  • SalienceNet: An Unsupervised Image-to-Image Translation Method for Nuclei Saliency Enhancement in Microscopy Images
  • Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer
  • Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis
  • Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation
  • In Vitro Quantification of Cellular Spheroids in Patterned Petri Dishes
  • Automatic Spine Segmentation in CT Scans
  • Prediction of Thyroid Malignancy Using Contextual Semantic Interpretability from Sonograms
  • EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning
  • Mathematical Morphology Based Volumetric Analysis of Bone Density Around Implant in Post-Operational Follow-up of Per-Trochanteric Fractures
  • LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation
  • Skin Tone via Device-Independent Colour Space
  • Retinal Image Segmentation with Small Datasets
  • Simulating Ultrasound Images from CT Scans
  • Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net
  • Condition for Sustained Oscillations in Repressilator Based on a Hybrid Modeling of Gene Regulatory Networks
  • MRQPMS: Design of a Map Reduce Bioinspired Model for Solving Quorum Planted Motif Search for High-Speed Deployments
  • Intelligence-Based Recommendation System for Critical Stroke Management in Intensive Care Units
  • Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory
  • A Formal Probabilistic Model of the Inhibitory Control Circuit in the Brain
  • Local Forward-Motion Panoramic Views for Localization and Lesion Detection for Multi-Camera Wireless Capsule Endoscopy Videos
  • Efficient Hashing of Multiple Spaced Seeds with Application
  • NP-BERT: A Two-Staged BERT Based Nucleosome Positioning Prediction Architecture for Multiple Species
  • Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature
  • Skin Lesion Segmentation Using Attention-Based DenseUNet
  • Prediction of Antimicrobial Peptides Using Deep Neural Networks
  • GediNETPro: Discovering Patterns of Disease Groups
  • DT-ML: Drug-Target Metric Learning
  • GPTree: Generator of Phylogenetic Trees with Overlapping and Biological Events for Supertree Inference
  • PUMP: An Underspecification Analysis Tool
  • System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer
  • Patient Similarity Networks Integration for Partial Multimodal Datasets
  • Formal Analysis of Rewriting System Representing RNA Folding
  • Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data
  • MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions
  • Separation of Concerns in an Edge-Based Compartmental Modeling Framework
  • Predicting Moonlighting Proteins from Protein Sequence
  • Ongoing Work to Study the Underlying Statistical Patterns of Oesophageal Chromothripsis
  • Computational Study of Particle Separation Based on Inertial Effects in Rectangular Serpentine Channels with Different Aspect Ratios
  • Semi-Automated Workflow for Computer-Generated Scoring of Ki67 Positive Cells from HE Stained Slides
  • Unsupervised Cardiac Differentiation Stage Portraying and Pseudotime Mapping Based on Gene Expression Data
  • GenExViz: Effective Visualizations of Bioinformatics Data - An Analysis Studies on Cancer Prevention
  • Constrained ALS for Estimation of Human Upper Limb Synergies
  • Assessing Situation Awareness (SA) Using Single- or Dual-Location functional Near Infrared Spectroscopy (fNIRS)
  • Machine Learning Algorithms for Mouse LFP Data Classification in Epilepsy
  • Stylohyoid and Posterior Digastric Measurement with Intramuscular EMG, Submental EMG and Swallowing Sound
  • AI and IoT Enabled Sleep Stage Classification
  • Comparison of Machine Learning Algorithms for Human Activity Recognition
  • Spontaneous Cardiac-Locomotor Coupling in Healthy Individuals During Daily Activities
  • Machine Learning Algorithm Development and Metrics Extraction from PPG Signal for Improved Robustness in Wearables
  • Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques
  • Prediction of Sleep Stages Based on Wearable Signals Using Machine Learning Techniques
  • Depression in Obstructive Sleep Apnea Patients: Is Using Complex Deep Learning Structures Worth It?
  • Impact of Body Position on Imaging Ballistocardiographic Signals
  • Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases
  • Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods
  • Arrythmia Classification Using MATLAB® Classification Learner App
  • Description of PD Phonation in Terms of EEG-Related Frequency Bands
  • Hybrid Improved Physarum Learner for Structure Causal Discovery
  • Deep Minutiae Fingerprint Extraction Using Equivariance Priors
  • Study of Uncertainty Quantification Using Multi-Label ECG in Deep Learning Models
  • The Subspace Regularization Method Improves ErrP Detection by EEGNET in BCI Experiments
  • Multimodal Stress Classification Based on Biosignals Extracted from Smart Devices and Electromyography
  • Analysis of Postural Variability of Office Workers Using Inertial Sensors
  • Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis
  • Automated Detection of Decision-Making Style, Based on Users’ Online Mouse Pointer Activity
  • Class-wise Knowledge Distillation for Lightweight Segmentation Model
  • Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring
  • Event-Related Desynchronization Analysis During Action Observation and Motor Imagery of Transitive Movements
  • Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling
  • Towards Lung Cancer Staging via Μultipositional Radiomics and Machine Learning
  • Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
  • Estimation of Fluid Intake Volume from Surface Electromyography Signals: A Comparative Study of Seven Regression Techniques
  • An RFID Based Localization and Mental Stress Recognition System Using Wearable Sensors
  • A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics
  • Classification of HCI Datasets Using Information Fusion and Weighted Frechet Distance
  • Reflecting on the Status Quo of Nonverbal Human-Machine Interaction
  • Heterogeneous Inertial Measurement Units in Motion Analysis
  • Using Sparse Representation of EEG Signal from a Shallow Sparse Autoencoder for Epileptic Seizure Prediction
  • Redundancy and Novelty Between ECG Leads Based on Linear Correlation
  • Parkinson and REM Sleep Behaviour Disorder: HRV Difference During Polysomnography
  • Data Augmentation, Multimodality, Subject and Activity Specificity Improve Wearable Electrocardiogram Denoising with Autoencoders
  • Automatic Reconstruction of Roof Overhangs for 3D City Models
  • Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy
  • Improved Directional Guidance with Transparent AR Displays
  • Optimal Activation Function for Anisotropic BRDF Modeling
  • Automatic Prediction of 3D Checkpoints for Technical Gesture Learning in Virtual Environments
  • Local Reflectional Symmetry Detection in Point Clouds Using a Simple PCA-Based Shape Descriptor
  • Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
  • Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning
  • An Immersive Feedback Framework for Scanning Probe Microscopy
  • Accurate Cutting of MSDM-Based Hybrid Surface Meshes
  • Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios
  • Multiclass Texture Synthesis Using Generative Adversarial Networks
  • Dense Point-to-Point Correspondences Between Genus-Zero Shapes Using Cubic Mapping and Horn-Schunck Optical Flow
  • Shape Morphing as a Minimal Path in the Graph of Cubified Shapes
  • Topological Data Structure: The Fast Marching Example
  • Computerised Muscle Modelling and Simulation for Interactive Applications
  • Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods
  • Analysis of Wettability Model Using Adhesional and Spreading Works
  • Colour-Field Based Particle Categorization for Residual Stress Detection and Reduction in Solid SPH Simulations
  • Real-Time Volume Editing on Low-Power Virtual Reality Devices
  • Cartesian Robot Controlling with Sense Gloves and Virtual Control Buttons: Development of a 3D Mixed Reality Application
  • Sampling-Distribution-Based Evaluation for Monte Carlo Rendering
  • Mobile Augmented Reality for Analysis of Solar Radiation on Facades
  • A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring
  • Fall Prediction Amongst the Elderly Using Data from an Ambient Assisted Living System
  • Designing Personalised Gamification of mHealth Survey Applications
  • Artificial Intelligence Enabled Healthcare Ecosystem Model: AIEHEM Project
  • Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge
  • Daily Pain Prediction in Workplace Using Gaussian Processes
  • Launcher50+: An Android Launcher for Use by Older Adults
  • Development and Application of Regional Level Complete Inspection Management Platform
  • Benchmarking Disease Modeling Techniques on the Philippines’ COVID-19 Dataset
  • Wearable EEG-Based Cognitive Load Classification by Personalized and Generalized Model Using Brain Asymmetry
  • Predicting Comorbidities in Diabetic Patients and Visualizing Data for Improved Healthcare
  • IT-Structures and Algorithms for Quality Assurance in the Medical Advisory Service Institutions in Germany. Step 2: To err is Human. Consensus-Conferences
  • Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support
  • Recommender System for Alarm Thresholds in Medical Patient Monitors
  • Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning
  • An Easy-to-Use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents
  • Facilitating SNOMED-CT Template Creation by Targeting Stopwords
  • Novel Distributed Informatics Platform to Support Machine Learning Discovery of Metabolic Biomarkers in Hypoxia Predisposition
  • (ε, k)-Randomized Anonymization: ε-Differentially Private Data Sharing with k-Anonymity
  • Development, Implementation and Validation of a Stochastic Prediction Model of UICC Stages for Missing Values in Large Data Sets in a Hospital Cancer Registry
  • Technical Realization and First Insights of the Multicenter Integrative Breast Cancer Registry INTREST
  • A Mobile Application for Milano Ventilatore Meccanico: A First Prototype
  • Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance
  • On the Problem of Data Availability in Automatic Voice Disorder Detection
  • Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks
  • Predicting Hospital Length of Stay of Patients Leaving the Emergency Department
  • A Correlation Network Model for Analyzing Mobility Data in Depression Related Studies
  • Eating Habit Improvement System Using Dietary Sound
  • Extended Head Pose Estimation on Synthesized Avatars for Determining the Severity of Cervical Dystonia
  • Concept for General Improvements in the Treatment of Femoral Shaft Fractures with an Intramedullary Nail
  • Pharmaceutical Audit Trail Blockchain-Based Microservice
  • Analysis of Virtual Reality Therapy Game Prototype for Persons Living with Dementia in the Philippines
  • Lessons Learned from mHealth Monitoring in the Wild
  • Bed Management System Development
  • On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients
  • Intelligent Provision of Tailored, Easily Understood, and Trusted Health Information for Patient Empowerment
  • The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil
  • A Gait Analysis Tool Based on Machine Learning to Support the Rehabilitation Strategy of Post-stroke Patients
  • Physiological Data Recording in VR Simulator for Sleepiness Detection During Driving
  • GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health
  • Analysis of Driving Behavior by Applying LDA Topic Model at Intersection Using VR Simulator
  • Federated Health Recommender System
  • Methods to Estimate Respiratory Rate Using the Photoplethysmography Signal
  • LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track
  • Fit-Twin: A Digital Twin of a User with Wearables and Context as Input for Health Promotion
  • A Survey on Technologies Used During out of Hospital Cardiac Arrest
  • Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise
  • Development of Learning System to Support for Passing Steps of Wheelchair
  • Effectiveness of Reflexology for Premenstrual Syndrome (PMS) and Other Health Difficulties Specific to Women
  • A Profile Recognition System Based on Emotions for Children with ASD in an Interactive Museum Visit
  • Improvement Potential of Business Models and Usability of Fitness Apps: Results of Expert Interviews and a User Study
  • Contrast Set Mining for Actionable Insights into Associations Between Sleep and Glucose in a Normoglycemic Population
  • Automated Identification of Yellow Flags and Their Signal Terms in Physiotherapeutic Consultation Transcripts
  • How Different Elements of Audio Affect the Word Error Rate of Transcripts in Automated Medical Reporting
  • Using Balancing Methods to Improve Glycaemia-Based Data Mining
  • HydReminder-W: A Bottle Cap that Listens to Your Heart to Remind You to Drink!
  • Deep Learning Assisted Plus Disease Screening of Retinal Image of Infants
  • A Protocol to Assess Usability and Feasibility of e-SpeechT, a Web-based System Supporting Speech Therapies
  • A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease
  • Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device
  • GroupGazer: A Tool to Compute the Gaze per Participant in Groups with Integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection
  • Pistol: PUpil INvisible SUpportive TOOl to Extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as Well as 3D Gaze
  • The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications
  • Virtual Reality Simulation for Multimodal and Ubiquitous System Deployment
  • The VVAD-LRS3 Dataset for Visual Voice Activity Detection
  • Virtual Avatar Creation Support System for Novices with Gesture-Based Direct Manipulation and Perspective Switching
  • Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model
  • Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining
  • Measuring Emotion Intensity: Evaluating Resemblance in Neural Network Facial Animation Controllers and Facial Emotion Corpora
  • Interaction-based Implicit Calibration of Eye-Tracking in an Aircraft Cockpit
  • Analysis of the User Experience (UX) of Design Interactions for a Job-Related VR Application
  • VR Virtual Prototyping Application for Airplane Cockpit: A Human-centred Design Validation
  • Usability Assessment in Scientific Data Analysis: A Literature Review
  • Co-creation of Ethical Guidelines for Designing Digital Solutions to Support Industrial Work
  • It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training
  • eHMI Design: Theoretical Foundations and Methodological Process
  • Can Pupillary Responses while Listening to Short Sentences Containing Emotion Induction Words Explain the Effects on Sentence Memory?
  • Improving Throughput of Mobile Robots in Narrow Aisles
  • Spatial Positions of Operator's Finger and Operation Device Influencing Sense of Direct Manipulation and Operation Performance
  • Towards Identifying Concepts in Persuasive Social Networks: Case Study TikTok
  • On the Importance of User Role-Tailored Explanations in Industry 5.0
  • Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics
  • Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems
  • An Immersive Virtual Reality Application to Preserve the Historical Memory of Tangible and Intangible Heritage
  • Measuring User Trust in an in-Vehicle Information System: A Comparison of Two Subjective Questionnaires
  • Comparing Conventional and Conversational Search Interaction Using Implicit Evaluation Methods
  • Examining the Potential for Conversational Exploratory Search Using a Smart Speaker Digital Assistant
  • Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles
  • Safety Education Method for Older Drivers to Correct Overestimation of Their Own Driving
  • Happy or Sad, Smiling or Drawing: Multimodal Search and Visualisation of Movies Based on Emotions Along Time
  • A Holonic Multi-Agent Architecture For Smart Grids
  • Differential Weight and Population Size of PRDE Traders: An Analysis of Their Impact on Market Dynamics
  • Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System
  • Online HTN Planning for Data Transfer and Utilization Considering Legal and Ethical Norms: Case Study
  • Cross-Paradigm Interoperability Between Jadescript and Java
  • Operational Semantic of an AgentSpeak(L) Interpreter Using Late Bindings
  • Analyzing the Effectiveness of Stereotypes
  • Virtual Agent Behavior Modeling in Case of a Risky Situation in a Virtual Electrical Substation
  • Dynamic Task Graphs for Teams in Collaborative Assembly Processes
  • Logic of Awareness in Agent’s Reasoning
  • Teleo-Reactive Agents in a Simulation Platform
  • Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents
  • Wall Climbing Emergent Behavior in a Swarm of Real-World Miniature Autonomous Blimps
  • Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem
  • A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour
  • Measuring Emotion Velocity for Resemblance in Neural Network Facial Animation Controllers and Their Emotion Corpora
  • SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation
  • Conflicting Moral Codes for Self-Driving Cars: The Single Car Case
  • Machine Learning for Cognitive BDI Agents: A Compact Survey
  • A Study Toward Multi-Objective Multiagent Reinforcement Learning Considering Worst Case and Fairness Among Agents
  • Bottom-Up Bio-Inspired Algorithms for Optimizing Industrial Plants
  • Towards a Fleet of Autonomous Haul-Dump Vehicles in Hybrid Mines
  • Hierarchical Constraint Logic Programming for Multi-Agent Systems
  • Fast Heuristic for Ricochet Robots
  • Parallel and Distributed Epirust: Towards Billion-Scale Agent-Based Epidemic Simulations
  • A Study of the Effectiveness of English Speaking of Teachable Agent using AI Chatbot
  • Studying the Impact of Transportation During Lockdown on the Spread of COVID-19 Using Agent-Based Modeling
  • Towards User-Centred Validation and Calibration of Agent-Based Models
  • Swapping Physical Resources at Runtime in Embedded MultiAgent Systems
  • A Normative Multiagent Approach to Represent Data Regulation Concerns
  • Study on Decentralized Anytime Evolutionary Algorithm for DCOPs Containing Adversarial Agents
  • Modelling Agents in Industry 4.0 Applications Using Asset Administration Shell
  • A Game Theoretic Approach to Attack Graphs
  • Reciprocal Adaptation Measures for Human-Agent Interaction Evaluation
  • How to Find Good Coalitions to Achieve Strategic Objectives
  • Coupled Assignment Strategy of Agents in Many Targets Environment
  • Automated Agent Migration over Distributed Data Structures
  • The Missing Tip: Lack of Micro-Movements Impairs Navigation Realism in Artificial Social Agents
  • REPMAS: A Requirements Engineering Process for MultiAgent Systems: An Application Example
  • Towards Modelling and Verification of Social Explainable AI
  • Strategy Analysis for Competitive Bilateral Multi-Issue Negotiation
  • An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition
  • On Converting Logic Programs Into Matrices
  • JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework
  • Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data
  • Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning
  • An Ontology-Based Augmented Observation for Decision-Making in Partially Observable Environments
  • InsectDSOT: A Neural Network for Insect Detection in Olive Trees
  • MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval
  • CSP-DC: Data Cleaning via Constraint Satisfaction Problem Solving
  • Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data
  • Analysing Customer Behaviour Using Simulated Transactional Data
  • An Audit Framework for Technical Assessment of Binary Classifiers
  • EMTE: An Enhanced Medical Terms Extractor Using Pattern Matching Rules
  • A Fine-Tuning Aggregation Convolutional Neural Network Surrogate Model of Strategy Selecting Mechanism for Repeated-Encounter Bilateral Automated Negotiation
  • An Application of Priority-Based Lightweight Ontology Merging
  • Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images
  • Exotic Bets: Evolutionary Computing Coupled with Bet Mechanisms for Model Selection
  • Partner Selection Strategy in Open, Dynamic and Sociable Environments
  • Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT
  • Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
  • Automatic Facility Layout Design System Using Deep Reinforcement Learning
  • Qualitative Spatial Representation and Reasoning About Fold Strata
  • Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices
  • Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning
  • Coverage-Guided Fuzzing for Plan-Based Robotics
  • Trade-off Clustering Approach for Multivariate Multi-Step Ahead Time-Series Forecasting
  • A New Dynamic Community-Based Recommender System
  • Rewiring Knowledge Graphs by Graph Neural Network Link Predictions
  • Interactive Video Saliency Prediction: The Stacked-convLSTM Approach
  • LSTM, ConvLSTM, MDN-RNN and GridLSTM Memory-based Deep Reinforcement Learning
  • Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
  • Towards a Foundation for Intelligent Contracts
  • Using NLP to Enrich Scientific Knowledge Graphs: A Case Study to Find Similar Papers
  • Generation of Facial Images Reflecting Speaker Attributes and Emotions Based on Voice Input
  • Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning
  • Deep Learning Model Selection With Parametric Complexity Control
  • Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database
  • Adding Time and Subject Line Features to the Donor Journey
  • Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums
  • Reinforcement Learning Explained via Reinforcement Learning: Towards Explainable Policies through Predictive Explanation
  • First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation
  • Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition
  • GaSUM: A Genetic Algorithm Wrapped BERT for Text Summarization
  • Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation
  • Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks
  • Studying Narrative Economics by Adding Continuous-Time Opinion Dynamics to an Agent-Based Model of Co-Evolutionary Adaptive Financial Markets
  • Coevolving Hexapod Legs to Generate Tripod Gaits
  • Normalization and Denormalization for a Document-Oriented Data
  • Turn-Based Multi-Agent Reinforcement Learning Model Checking
  • Emotion-Cause Pair Extraction as Question Answering
  • Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making
  • Improving the Human-Likeness of Game AI’s Moves by Combining Multiple Prediction Models
  • Detecting 2D NMR Signals Using Mask RCNN
  • Task Scheduling: A Reinforcement Learning Based Approach
  • pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data
  • Hard Spatial Attention Framework for Driver Action Recognition at Nighttime
  • Anomaly Detection for Multivariate Industrial Sensor Data via Decoupled Generative Adversarial Network
  • A Knowledge-Based Approach for Evaluating Impact of Therapeutic Strategies
  • Scenario Generation With Transitive Rules for Counterfactual Event Analysis
  • Comparative Analysis of Process Models for Data Science Projects
  • Learning Preferences in Lexicographic Choice Logic
  • Sentence Transformers and DistilBERT for Arabic Word Sense Induction
  • Denial of Service Detection for IoT Networks Using Machine Learning
  • An Efficient Real Time Intrusion Detection System for Big Data Environment
  • Chop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases
  • A System for Updating Trust and Performing Belief Revision
  • Nature-Inspired Algorithms for Solving Weighted Constraint Satisfaction Problems
  • Explainable Recommendations of Drugs for Diabetic Patients
  • Fully Hidden Dynamic Trigger Backdoor Attacks
  • On the Impact of Grounding on HTN Plan Verification via Parsing
  • Automatic Reactive Power Classification Based on Selected Machine Learning Methods
  • Nearest Neighbours and XAI Based Approach for Soft Labelling
  • A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks
  • Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview
  • Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection
  • A New Approach to Probabilistic Knowledge-Based Decision Making
  • XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning
  • ECA-CE: An Evolutionary Clustering Algorithm with Initial Population by Clustering Ensemble
  • Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images
  • SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity
  • A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
  • Interpretability and Explainability of Logistic Regression Model for Breast Cancer Detection
  • Enhancing Time Series Classification with Self-Supervised Learning
  • Symbolic Explanations for Multi-Label Classification
  • VoronoiPatches: Evaluating a New Data Augmentation Method
  • Diverse Level Generation for Tile-Based Video Game using Generative Adversarial Networks from Few Samples
  • The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design
  • A New Approach to Moving Object Detection and Segmentation: The XY-shift Frame Differencing
  • Towards Automatic Medical Report Classification in Czech
  • Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback
  • Background Image Editing with HyperStyle and Semantic Segmentation
  • Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints
  • MAKI: A Multi-Agent Public Key Infrastructure
  • A Survey of Socio-Emotional Strategies for Generation-Based Conversational Agents
  • On the Prediction of a Nonstationary Exponential Distribution Based on Bayes Decision Theory
  • Automatic Detection of Implicit and Typical Implementation of Singleton Pattern Based on Supervised Machine Learning
  • An Automatic Method for Building a Taxonomy of Areas of Expertise
  • Multi-Objective Deep Q-Networks for Domestic Hot Water Systems Control
  • A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture
  • Generation of Daily and Monthly Flows Using the GR4j Method with ERA5 Grilled Data in the Cañete River Basin to the Putinza Hydrometric Station
  • Predicting Visual Importance of Mobile UI Using Semantic Segmentation
  • NewsRecs: A Mobile App Framework for Conducting and Evaluating Online Experiments for News Recommender Systems
  • Emotions Relationship Modeling in the Conversation-Level Sentiment Analysis
  • Head Star (H*): A Motion Planning Algorithm for Navigation Among Movable Obstacles
  • Constraint-Based Filtering and Evaluation of CSP Search Trees
  • A Framework for Explaining Accident Scenarios for Self-Driving Cars
  • An Effective Hybrid Text-Based Approach to Identify Fake News on Social Media
  • GAN Inversion with Editable StyleMap
  • Rumor Detection in Tweets Using Graph Convolutional Networks
  • Potentials of Explainable Predictions of Order Picking Times in Industrial Production
  • Compressing UNSAT Search Trees with Caching
  • Explainable Decision Support Modelling Based on Multi-Layer FCM with Multi-Objective Optimization Characteristics: The Case of the Microservices Adoption Problem
  • A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection
  • Thompson Sampling on Asymmetric a-stable Bandits
  • Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms
  • Voicemail Urgency Detection Using Context Dependent and Independent NLP Techniques
  • Video Game Agents with Human-like Behavior using the Deep Q-Network and Biological Constraints
  • Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident
  • Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks
  • Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
  • Multi Platform-Based Hate Speech Detection
  • Automatically Generating Image Segmentation Datasets for Video Games
  • Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method
  • Randout-KD: Finetuning Foundation Models for Text Classification via Random Noise and Knowledge Distillation
  • Automated Planning for Military Airline Controller Training Scenarios
  • Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution
  • Multi-Agent Parking Problem with Sequential Allocation
  • Ethical Considerations for the Deployment of Logic-Based Models of Reasoning
  • Bagged Ensembles for Blood Glucose Prediction: A Comparative Study
  • Shrinking the Inductive Programming Search Space with Instruction Subsets
  • How Fine Tuning Affects Contextual Embeddings: A Negative Result Explanation
  • Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure
  • InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset
  • Hybrid Genetic U-Net Algorithm for Medical Segmentation
  • Convolutional Networks Versus Transformers: A Comparison in Prostate Segmentation
  • Modeling Syntactic Knowledge With Neuro-Symbolic Computation
  • Applied Deep Learning Architectures for Breast Cancer Screening Classification
  • Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU?
  • PARL: A Dialog System Framework with Prompts as Actions for Reinforcement Learning
  • Evaluating and Improving End-to-End Systems for Knowledge Base Population
  • Model Transparency: Why Do We Care?
  • Drone Surveillance in Extreme Low Visibility Conditions
  • Explainability of MLP Based Species Distribution Models: A Case Study
  • Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience
  • Modeling an e-Commerce Hybrid Recommender System Based on Machine Learning Algorithms
  • Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
  • An Empirical Heuristic Algorithm for Solving the Student-Project Allocation Problem with Ties
  • Popularity Prediction for New and Unannounced Fashion Design Images
  • Automated Deep Learning Based Answer Generation to Psychometric Questionnaire: Mimicking Personality Traits
  • SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
  • A Bi-Level Genetic Algorithm to Solve the Dynamic Flexible Job Shop Scheduling Problem
  • Question Difficulty Decision for Automated Interview in Foreign Language Test
  • Japanese Word Reordering Based on Topological Sort
  • An Artificial Dendritic Neuron Model Using Radial Basis Functions
  • Supervised Learning for Untangling Braids
  • Multi-Graph Encoder-Decoder Model for Location-Based Character Networks in Literary Narrative
  • Model for Real-Time Subtitling from Spanish to Quechua Based on Cascade Speech Translation
  • Decision-Making in Hearthstone Based on Evolutionary Algorithm
  • Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech
  • A Convolutional Neural Network Based Patch Classifier Using Mammograms
  • How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion
  • Blending Dependency Parsers With Language Models
  • A Zero-Shot Transformer Model For an Attribute-Guided Challenge
  • Compression of GPS Trajectories Using Autoencoders
  • Improved Encoding of Possibilistic Networks in CNF Using Quine-McCluskey Algorithm
  • Logic + Reinforcement Learning + Deep Learning: A Survey
  • German BERT Model for Legal Named Entity Recognition
  • Using Neural Network Architectures for Intraday Trading in the Gold Market
  • Software Requirements Prioritisation Using Machine Learning
  • Data-Driven Weather Forecast Using Deep Convolution Neural Network
  • A Novel Sampling Technique for Detecting Cyber Denial of Service Attacks on the Internet of Things
  • Creating a Math Expression Filter to Extract Concise Math Expression Images
  • Optimising Evolution of SA-UNet for Iris Segmentation
  • Playstyle Generation for Geister With Genetic Algorithm and Clustering
  • Efficient Aggregation of Face Embeddings for Decentralized Face Recognition Deployments
  • IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication
  • Evaluation of DoS/DDoS Attack Detection with ML Techniques on CIC-IDS2017 Dataset
  • Cybersecurity Awareness and Capacities of SMEs
  • An Explainable Convolutional Neural Network for Dynamic Android Malware Detection
  • Towards a Rust SDK for Keystone Enclave Application Development
  • Machine Learning Based Prediction of Vulnerability Information Subject to a Security Alert
  • An End-to-End Encrypted Cache System with Time-Dependent Access Control
  • Concrete Quantum Circuits to Prepare Generalized Dicke States on a Quantum Machine
  • Towards Audit Requirements for AI-Based Systems in Mobility Applications
  • Tracing Cryptographic Agility in Android and iOS Apps
  • CHARRA-PM: An Attestation Approach Relying on the Passport Model
  • Evaluation Scheme to Analyze Keystroke Dynamics Methods
  • Revisiting the DFT Test in the NIST SP 800-22 Randomness Test Suite
  • Veto: Prohibit Outdated Edge System Software from Booting
  • SHOID: A Secure Herd of IoT Devices Firmware Update Protocol
  • An Analysis of Cybersecurity Awareness Efforts for Swiss SMEs
  • Using Infrastructure-Based Agents to Enhance Forensic Logging of Third-Party Applications
  • Systematically Searching for Identity-Related Information in the Internet with OSINT Tools
  • Security Analysis of a Color Image Encryption Scheme Based on Dynamic Substitution and Diffusion Operations
  • Measurements of Cross-Border Quantum Key Distribution Link
  • Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
  • SWaTEval: An Evaluation Framework for Stateful Web Application Testing
  • Clipaha: A Scheme to Perform Password Stretching on the Client
  • Automating XSS Vulnerability Testing Using Reinforcement Learning
  • TTP-Aided Searchable Encryption of Documents Using Threshold Secret Sharing
  • An Efficient Unified Architecture for Polynomial Multiplications in Lattice-Based Cryptoschemes
  • Privacy-Aware IoT: State-of-the-Art and Challenges
  • On the Feasibility of Fully Homomorphic Encryption of Minutiae-Based Fingerprint Representations
  • Query Log Analysis for SQL Injection Detection
  • How to Design a Blue Team Scenario for Beginners on the Example of Brute-Force Attacks on Authentications
  • SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation
  • Use-Case Denial of Service Attack on Actual Quantum Key Distribution Nodes
  • A Systematic Review of Secure IoT Data Sharing
  • A k-Anonymization Method for Social Network Data with Link Prediction
  • Bypassing Multiple Security Layers Using Malicious USB Human Interface Device
  • Evaluation of a Tool to Increase Cybersecurity Awareness Among Non-experts (SME Employees)
  • Dark Ending: What Happens when a Dark Web Market Closes down
  • The Story of Safety Snail and Her e-Mail: A Digital Wellness and Cybersecurity Serious Game for Pre-School Children
  • Evading Detection During Network Reconnaissance
  • Temporal Constraints in Online Dating Fraud Classification
  • Data Leakage in Isolated Virtualized Enterprise Computing Systems
  • Cloud Inspector: A Tool-Based Approach for Public Administrations to Establish Information Security Processes Towards Public Clouds
  • Exploring False Demand Attacks in Power Grids with High PV Penetration
  • Evaluation of Persistence Methods Used by Malware on Microsoft Windows Systems
  • Security Aspects of Digital Twins in IoT
  • Identifying Personal Data Processing for Code Review
  • Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams
  • Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond
  • SPA Attack on NTRU Protected Implementation with Sparse Representation of Private Key
  • Assessing Security and Privacy Insights for Smart Home Users
  • On the Design of GDPR Compliant Workflows for Responsible Neuroimage Data Sharing
  • XMeDNN: An Explainable Deep Neural Network System for Intrusion Detection in Internet of Medical Things
  • Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis
  • A Stochastic Game Model for Cloud Platform Security
  • Vehicle Data Collection: A Privacy Policy Analysis and Comparison
  • A Scenario-Driven Cyber Security Awareness Exercise Utilizing Dynamic Polling: Methodology and Lessons Learned
  • Systematic Literature Review of Threat Modeling Concepts
  • Cyber Teaching Hospitals: Developing Cyber Workforce Competence
  • Correlating Intrusion Detection with Attack Graph on Virtual Computer Networkings
  • Vulnerabilities in IoT Devices, Backends, Applications, and Components
  • Comparing the Effect of Privacy and Non-Privacy Social Media Photo Tools on Factors of Privacy Concern
  • On the Use of Multiple Approximations in the Linear Cryptanalysis of Baby Rijndael
  • Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology
  • PDIFT: A Practical Dynamic Information-Flow Tracker
  • Improving Unlinkability in C-ITS: A Methodology For Optimal Obfuscation
  • t.ex-Graph: Automated Web Tracker Detection Using Centrality Metrics and Data Flow Characteristics
  • P2BAC: Privacy Policy Based Access Control Using P-LPL
  • Secure Software Updates for IoT Based on Industry Requirements
  • A Game Theoretic Analysis of Cyber Threats
  • RPCDroid: Runtime Identification of Permission Usage Contexts in Android Applications
  • Secure Joint Querying Over Federated Graph Databases Utilising SMPC Protocols
  • Towards Security Attack Event Monitoring for Cyber Physical-Systems
  • Anomalous File System Activity Detection Through Temporal Association Rule Mining
  • Automata-Based Study of Dynamic Access Control Policies
  • StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation
  • A Framework for Assessing Decompiler Inference Accuracy of Source-Level Program Constructs
  • Fast-Flux Malicious Domain Name Detection Method Based on Domain Resolution Spatial Features
  • A Biometric Self Authentication Scheme
  • Group Privacy for Personalized Federated Learning
  • Forecasting Cyber-Attacks to Destination Ports Using Machine Learning
  • A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration at IoT Edge Devices and Containerized Cluster System
  • Assessing the Impact of Attacks on Connected and Autonomous Vehicles in Vehicular Ad Hoc Networks
  • Differential Privacy: Toward a Better Tuning of the Privacy Budget (ε) Based on Risk
  • Assessing Risk in High Performance Computing Attacks
  • SeCloud: Computer-Aided Support for Selecting Security Measures for Cloud Architectures
  • Integrated Production and Energy Supply Planning on an Industrial Site by Mixed-Integer Linear Programming
  • Synchronizing Vehicle Routing and Photo-Voltaic Production
  • A Comparison of Several Speed Computation Methods for the Safe Shortest Path Problem
  • Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty
  • Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms
  • Counterfactual Explanations for Workforce Scheduling and Routing Problems
  • Performance Metrics Based on Data Envelopment Analysis for Evaluating Multi-Objective Linear Programming Solution Methods
  • The Green Tourist Trip Design Problem with Time Windows: A Model Application on a Urban Scale
  • Opportunistic Maintenance of Multi-Component Systems Under Structure and Economic Dependencies: A Healthcare System Case Study
  • Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands
  • Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty
  • The Single Depot Multiple Set Orienteering Problem
  • A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations
  • Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand
  • Estimating Workforce Attrition Rate Parameters: A Controlled Comparison
  • Multi-Objective Task Assignment Solution for Parked Vehicular Computing
  • Optimization of Circular Conveyor Belt Systems with Multi-Commodity Network Flows
  • Storage Assignment Using Nested Annealing and Hamming Distances
  • Automatic Placer for Analog Circuits Using Integer Linear Programming Warm Started by Graph Drawing
  • Modeling and Optimization of Virtual Networks in Multi-AS Environment
  • Optimization of Direct Transportation Flows for the Removal of Construction Waste Bins with both Resource and Task Availability Interval Constraints
  • Managing Inventory Level and Bullwhip Effect in Multi Stage Supply Chains with Perishable Goods: A New Distributed Model Predictive Control Approach
  • A Blockchain-Based System for the Last-Mile Delivery
  • MorDeephy: Face Morphing Detection via Fused Classification
  • Classifying Intelligence Tests Patterns Using Machine Learning Methods
  • Deep Learning Semi-Supervised Strategy for Gamma/Hadron Classification of Imaging Atmospheric Cherenkov Telescope Events
  • Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification
  • Debiasing Sentence Embedders Through Contrastive Word Pairs
  • EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation
  • Multi-task Fusion for Efficient Panoptic-Part Segmentation
  • "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction
  • Fake It, Mix It, Segment It: Bridging the Domain Gap Between Lidar Sensors
  • Random Quasi Intersections with Applications to Instant Machine Learning
  • Adaptive Adversarial Samples Based Active Learning for Medical Image Classification
  • From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search
  • Rainfuzz: Reinforcement-Learning Driven Heat-Maps for Boosting Coverage-Guided Fuzzing
  • Light U-Net with a New Morphological Attention Gate Model Application to Analyse Wood Sections
  • A Comparative Analysis of Classifier Performance for Epileptic Seizure Detection Using EEG Signals
  • Explainable Outlier Detection Using Feature Ranking for k-Nearest Neighbors, Gaussian Mixture Model and Autoencoders
  • Topology-Preserving Reductions on (18,12) Pictures of the Face-Centered Cubic Grid
  • Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
  • Co-Incrementation: Combining Co-Training and Incremental Learning for Subject-Specific Facial Expression Recognition
  • Hard Spatio-Multi Temporal Attention Framework for Driver Monitoring at Nighttime
  • Neonatal Video Database and Annotations for Vital Sign Extraction and Monitoring
  • Dealing with Overfitting in the Context of Liveness Detection Using FeatherNets with RGB Images
  • Video-Based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons
  • Deep Learning for Diagonal Earlobe Crease Detection
  • Lightweight Audio-Based Human Activity Classification Using Transfer Learning
  • Keyframe and GAN-Based Data Augmentation for Face Anti-Spoofing
  • Using a Genetic Algorithm to Update Convolutional Neural Networks for Abnormality Classification in Mammography
  • DNN Pruning and Its Effects on Robustness
  • Ensemble Learning for Cough-Based Subject-Independent COVID-19 Detection
  • Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild
  • Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques
  • Automatic Subjective Answer Evaluation
  • Two-Step Graph Classification on the Basis of Hierarchical Graphs
  • LiDAR and Camera Based 3D Object Classification in Unknown Environments Using Weakly Supervised Learning
  • Subcaterpillar Isomorphism Between Caterpillars: Subtree Isomorphism Restricted Text and Pattern Trees to Caterpillars
  • Recent Advances in Statistical Mixture Models: Challenges and Applications
  • Outlier Detection Method for Equipment Onboard Merchant Vessels
  • PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images
  • Clustering LiDAR Data with K-means and DBSCAN
  • Sequential Spatial Transformer Networks for Salient Object Classification
  • Towards Explainability in Using Deep Learning for Face Detection in Paintings
  • Estimating Electric Vehicle Driving Range with Machine Learning
  • State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots
  • Point to Segment Distance DTW for Online Handwriting Signals Matching
  • Unsupervised Tree Detection and Counting via Region-Based Circle Fitting
  • Correlated Mutations of Positions Among Structural Proteins in Delta and Omicron Variants for SARS-CoV-2 Amino Acid Sequences
  • Step Towards Generalization: Fault Classification in Multivariate High-Frequency Data from Different Operating Regimes of Hydraulic Rock Drill System
  • Gradient Clipping in Deep Learning: A Dynamical Systems Perspective
  • Addressing Privacy and Security Concerns in Online Game Account Sharing: Detecting Players Using Mouse Dynamics
  • Distance Transform in Parallel Logarithmic Complexity
  • Rethinking Image-Based Table Recognition Using Weakly Supervised Methods
  • Speech Recognition for Minority Languages Using HuBERT and Model Adaptation
  • Cardiac Arrhythmia Classification in Electrocardiogram Signals with Convolutional Neural Networks
  • Facial Paralysis Recognition Using Face Mesh-Based Learning
  • Impact of Transformer-Based Models and User Clustering in Early Fake News Detection in Social Media
  • When Simple Statistical Algorithms Outperform Deep Learning: A Case of Keystroke Dynamics
  • Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning
  • Image-Based Fire Detection in Industrial Environments with YOLOv4
  • Synthetic Data for Object Classification in Industrial Applications
  • Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
  • So Can We Use Intrinsic Bias Measures or Not?
  • The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
  • Strokes Trajectory Recovery for Unconstrained Handwritten Documents with Automatic Evaluation
  • Deep Analysis and Detection of Firewall Anomalies Using Knowledge Graph
  • Continuous Sign-Language Recognition using Transformers and Augmented Pose Estimation
  • Sewer-AI: Sustainable Automated Analysis of Real-World Sewer Videos Using DNNs
  • Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
  • Image Inpainting Network Based on Deep Fusion of Texture and Structure
  • Fixed Tasks for Continuous Authentication via Smartphone
  • Metric-Based Few-Shot Learning for Pollen Grain Image Classification
  • Deep Learning Based Text Translation and Summarization Tool for Hearing Impaired Using Indian Sign Language
  • A Semantic Frame Graph for Information Extraction
  • Modified kNN Classifier in the Output Vector Space for Robust Performance Against Adversarial Attack
  • Data Streams: Investigating Data Structures for Multivariate Asynchronous Time Series Prediction Problems
  • Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals
  • Imposing Functional Priors on Bayesian Neural Networks
  • Image-Based Material Analysis of Ancient Historical Documents
  • Leveraging Explainability with K-Fold Feature Selection
  • On the Future of Training Spiking Neural Networks
  • Machine Fault Classification Using Hamiltonian Neural Networks
  • Bayesian Iterative Closest Point for Shape Analysis of Brain Structures
  • Learning Independently from Causality in Multi-Agent Environments
  • Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images
  • MAGAN: A Meta-Analysis for Generative Adversarial Networks’ Latent Space
  • Towards a Neuro-Symbolic Framework for Multimodal Human-AI Interaction
  • Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation
  • Patterns in Pupillary Diameter Variation While Reading Portuguese Language Texts
  • Classification of Respiratory Diseases Using the NAO Robot
  • Speech to Text Recognition for Videogame Controlling with Convolutional Neural Networks
  • New Centre/Surround Retinex-like Method for Low-Count Image Reconstruction
  • Towards Improved Indoor Location with Unmodified RFID Systems
  • A Comparative Study of GAN Methods for Physiological Signal Generation
  • Arabic Handwriting off-Line Recognition Using ConvLSTM-CTC
  • Prostate Cancer Detection, Segmentation, and Classification using Deep Neural Networks
  • On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats
  • On the Hardness and Necessity of Supervised Concept Drift Detection
  • Integration of Statistical Methods and Artificial Neural Networks for the Detection of Oil Stains in the Aquatic Environment
  • Noise Robustness of Data-Driven Star Classification
  • Invertible Neural Network-Based Video Compression
  • SynFine: Boosting Image Segmentation Accuracy Through Synthetic Data Generation and Surgical Fine-Tuning
  • Automatic Coronary Angiogram Keyframe Extraction
  • TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models
  • Agnostic eXplainable Artificial Intelligence (XAI) Method Based on Volterra Series
  • Generalized Torsion-Curvature Scale Space Descriptor for 3-Dimensional Curves
  • Improving the Accuracy of Tracker by Linearized Transformer
  • A Comparative Study of BRISK, ORB and DAISY Features for Breast Cancer Classification
  • Visualizing Grassmannians via Poincare Embeddings
  • Damast: A Visual Analysis Approach for Religious History Research
  • Contrast Driven Color-Group Assignment in Categorical Data Visualization
  • Visual Document Exploration with Adaptive Level of Detail: Design, Implementation and Evaluation in the Health Information Domain
  • Trajectory-Based Dynamic Boundary Map Labeling
  • The Compilation of 2D and 3D Dynamic Visualizations
  • Viewpoint-Based Quality for Analyzing and Exploring 3D Multidimensional Projections
  • Model Order in Sugiyama Layouts
  • Evaluating Differences in Insights from Interactive Dimensionality Reduction Visualizations Through Complexity and Vocabulary
  • Using Well-Known Techniques to Visualize Characteristics of Data Quality
  • Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity
  • XAIVIER the Savior: A Web Application for Interactive Explainable AI in Time Series Data
  • Towards a Visual Analytics Workflow for Cybersecurity Simulations
  • Evaluating Architectures and Hyperparameters of Self-supervised Network Projections
  • BigGraphVis: Visualizing Communities in Big Graphs Leveraging GPU-Accelerated Streaming Algorithms
  • The HORM Diagramming Tool: A Domain-Specific Modelling Tool for SME Cybersecurity Awareness
  • Interactive Exploration of Complex Heterogeneous Data: A Use Case on Understanding City Economics
  • A Comparative Study on Vision Transformers in Remote Sensing Building Extraction
  • On Metavisualization and Properties of Visualization
  • An Interactive Graph Layout Constraint Framework
  • Supporting University Research and Administration via Interactive Visual Exploration of Bibliographic Data
  • Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors
  • MR to CT Synthesis Using GANs: A Practical Guide Applied to Thoracic Imaging
  • A Survey of Geospatial-Temporal Visualizations for Military Operations
  • InTra: A Pragmatic Approach of Using Rule-Based Model Transformation to Reduce Complexity of UML and SysML Models
  • Lightweight Software Language Processing Using Antlr and CGTL
  • On the Interest of Combining Several Variability Tactics to Design the Implementation of Product Lines
  • Mutation of Formally Verified SysML Models
  • Hierarchical Design of Cyber-Physical Systems
  • Go Meta of Learned Cost Models: On the Power of Abstraction
  • A Tool for Supporting Round-Trip Engineering with the Ability to Avoid Unintended Design Changes
  • Model-Driven Collaborative Design of Professional Education Programmes with Extended Online Whiteboards
  • Visualizing Errors and Inconsistencies in the DSML IEC 61499
  • A Modelling Methodology for Developing an Information Model for Cyber-Physical Production Systems using OPC UA
  • Towards Specification of Medical Processes According to International Standards and Semantic Interoperability Needs
  • A Proposal Towards Discovering Metamodels from Low-Code Application Platforms
  • Model-Driven Optimisation of Monitoring System Configurations for Batch Production
  • Modeling Machine Learning Concerns in Collective Adaptive Systems
  • Application of a Process-Oriented Build Tool for Verification and Validation of a Battery Slave Controller for a Battery Modular Multilevel Management System Along the DO-178C/DO-331 Process
  • Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems
  • NICE: A Flexible Expression Language
  • Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems
  • Creating Python-Style Domain Specific Languages: A Semi-Automated Approach and Intermediate Results
  • Exploiting Meta-Model Structures in the Generation of Xtext Editors
  • Experiences and Lessons from Introducing Model-Based Analysis in Brown-Field Product Family Development
  • Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review
  • An Integrated Framework for Running Extended Class Models
  • Supporting Change Impact Analysis in System Architecture Design: Towards a Domain-Specific Modeling Method
  • Verifying Static Constraints on Models Using General Formal Verification Methods
  • Enhancing Deep Learning with Scenario-Based Override Rules: A Case Study
  • Towards Multi-Level Structuring of Goal-Oriented Models for Improved Model-Based Systems Engineering
  • Toward Automated Modeling of Abstract Concepts and Natural Phenomena: Autoencoding Straight Lines
  • ATMO: Autonomous Train Map Ontology
  • Future Directions for MBSE with SysML v2
  • Multi-Wavelength High-Resolution Fourier Ptychographic Microscopy Using a Hemispherical LED Array
  • Barrier Structure for Ga-Free Type-II Superlattice Midwave Infrared Photodetector
  • Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning
  • Mode Analysis of Hybrid Plasmonic Waveguide Using Multilayer Spectral Green’s Function and Rational Function Fitting Method
  • Design of Inner Baffle Array for Compact Multi-Aperture Off-Axis Optical System
  • Performance Evaluation of IREDA Prototype System: An IR-Based Portable Electronic Detection System for Blood Alcohol Concentration
  • Simulation and Experiment of Ghost Imaging-OCT Target Imaging in Scattering Media
  • Environmental Pollution Assessment with Indicator Plant Under Ozone Gas Atmosphere by Using OCT
  • Imaging System Front-End at 202GHz Using LO/RF Isolation of Harmonic Mixer for Illumination
  • Generation and Characterization of Fork Gratings in Fused Silica
  • Short Pulse Generation in Erbium-Doped Fiber Lasers Using Graphene Oxide as a Saturable Absorber
  • Improvement in Thermal Resistance of Surface-Emitting Quantum Cascade Laser by Using a Diamond Submount
  • Investigations on Sensitivity of Modal Fibre-Interferometer for Acoustic Detection
  • Ultra-Sensitivity Widefield, Confocal Surface Plasmon Interferometry Using Sequential Coding
  • TSCH Slotframe Optimization Using Differential Evolution Algorithm for Heterogeneous Sensor Networks
  • SLAE6: Secure and Lightweight Authenticated Encryption Scheme for 6LoWPAN Networks
  • On the Path Towards Standardisation of a Sensor API for Forensics Investigations
  • LoRa Structural Monitoring Wireless Sensor Networks
  • Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices
  • Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace
  • A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations
  • Gateway Placement in LoRaWAN Enabled Sensor Networks
  • A Survey on Algorithmic Problems in Wireless Systems
  • A Simulation-Based Testing to Evaluate and Improve a Radar Sensor Performance in a Use Case of Highly Automated Driving Systems
  • Salient Mask-Guided Vision Transformer for Fine-Grained Classification
  • Railway Switch Classification Using Deep Neural Networks
  • Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage
  • Generative Adversarial Network Synthesis for Improved Deep Learning Model Training of Alpine Plants with Fuzzy Structures
  • A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models
  • Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control
  • Flexible Extrinsic Structured Light Calibration Using Circles
  • Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning
  • CoDA-Few: Few Shot Domain Adaptation for Medical Image Semantic Segmentation
  • Let’s Get the FACS Straight: Reconstructing Obstructed Facial Features
  • Classification and Embedding of Semantic Scene Graphs for Active Cross-Domain Self-Localization
  • Semantic Segmentation on Neuromorphic Vision Sensor Event-Streams Using PointNet++ and UNet Based Processing Approaches
  • Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
  • Deformable and Structural Representative Network for Remote Sensing Image Captioning
  • Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds
  • Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution
  • Interactive Indoor Localization Based on Image Retrieval and Question Response
  • Fully Convolutional Neural Network for Event Camera Pose Estimation
  • Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish
  • An Extension of the Radial Line Model to Predict Spatial Relations
  • Persistent Homology Based Generative Adversarial Network
  • A Basic Tool for Improving Bad Illuminated Archaeological Pictures
  • AI-Powered Management of Identity Photos for Institutional Staff Directories
  • High-Level Workflow Interpreter for Real-Time Image Processing
  • Robust RGB-D-IMU Calibration Method Applied to GPS-Aided Pose Estimation
  • PG-3DVTON: Pose-Guided 3D Virtual Try-on Network
  • Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation
  • Masking and Mixing Adversarial Training
  • Hand Segmentation with Mask-RCNN Using Mainly Synthetic Images as Training Sets and Repetitive Training Strategy
  • FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus
  • Data-Driven Fingerprint Reconstruction from Minutiae Based on Real and Synthetic Training Data
  • 3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations
  • Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
  • Concept Explainability for Plant Diseases Classification
  • UMVpose++: Unsupervised Multi-View Multi-Person 3D Pose Estimation Using Ground Point Matching
  • Maritime Surveillance by Multiple Data Fusion: An Application Based on Deep Learning Object Detection, AIS Data and Geofencing
  • Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement
  • ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce
  • Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data
  • Automatic Fracture Detection and Characterization in Borehole Images Using Deep Learning-Based Semantic Segmentation
  • Data-Efficient Transformer-Based 3D Object Detection
  • EHDI: Enhancement of Historical Document Images via Generative Adversarial Network
  • Two-Model-Based Online Hand Gesture Recognition from Skeleton Data
  • Synthesis for Dataset Augmentation of H&E Stained Images with Semantic Segmentation Masks
  • Fruit Defect Detection Using CNN Models with Real and Virtual Data
  • Search for Rotational Symmetry of Binary Images via Radon Transform and Fourier Analysis
  • Uncertainty-Aware DPP Sampling for Active Learning
  • N-MuPeTS: Event Camera Dataset for Multi-Person Tracking and Instance Segmentation
  • Football360: Introducing a New Dataset for Camera Calibration in Sports Domain
  • Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model
  • Estimation of Robot Motion Parameters Based on Functional Consistency for Randomly Stacked Parts
  • Finger-UNet: A U-Net Based Multi-Task Architecture for Deep Fingerprint Enhancement
  • Deep Neural Network Based Attention Model for Structural Component Recognition
  • Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events
  • Near-infrared Lipreading System for Driver-Car Interaction
  • Contactless Optical Detection of Nocturnal Respiratory Events
  • Image Quality Assessment for Object Detection Performance in Surveillance Videos
  • Memory-Efficient Implementation of GMM-MRCoHOG for Human Recognition Hardware
  • Complement Objective Mining Branch for Optimizing Attention Map
  • Counting People in Crowds Using Multiple Column Neural Networks
  • Study of Coding Units Depth for Depth Maps Quality Scalable Compression Using SHVC
  • Novel View Synthesis for Unseen Surgery Recordings
  • Shape-based Features Investigation for Preneoplastic Lesions on Cervical Cancer Diagnosis
  • A Low-Cost Process for Plant Motion Magnification for Smart Indoor Farming
  • Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios
  • SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning
  • Industrial Visual Defect Inspection of Electronic Components with Siamese Neural Network
  • Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition
  • Re-Learning ShiftIR for Super-Resolution of Carbon Nanotube Images
  • A Wearable Device Application for Human-Object Interactions Detection
  • Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification
  • Generating Pedestrian Views from In-Vehicle Camera Images
  • Adaptive Resolution Selection for Improving Segmentation Accuracy of Small Objects
  • Seeing Risk of Accident from In-Vehicle Cameras
  • Towards a Robust Solution for the Supermarket Shelf Audit Problem
  • Predicting Eye Gaze Location on Websites
  • EFL-Net: An Efficient Lightweight Neural Network Architecture for Retinal Vessel Segmentation
  • Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction
  • Concept Study for Dynamic Vision Sensor Based Insect Monitoring
  • Multichannel Analysis in Weed Detection
  • ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images
  • Fast Skeletons of Handwritten Texts in Digital Images
  • Image Quality Assessment in the Context of the Brazilian Electoral System
  • IncludeVote: Development of an Assistive Technology Based on Computer Vision and Robotics for Application in the Brazilian Electoral Context
  • Evaluation of U-Net Backbones for Cloud Segmentation in Satellite Images
  • Automatic Robotic Arm Calibration for the Integrity Test of Voting Machines in the Brazillian 2022's Election Context
  • ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation
  • Inverse Rendering Based on Compressed Spatiotemporal Infomation by Neural Networks
  • Colonoscopic Polyp Detection with Deep Learning Assist
  • Combined Unsupervised and Supervised Learning for Improving Chest X-Ray Classification
  • Toward a Thermal Image-Like Representation
  • Face-Based Gaze Estimation Using Residual Attention Pooling Network
  • Multimodal Light-Field Camera with External Optical Filters Based on Unsupervised Learning
  • You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans
  • When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset
  • Handwriting Recognition in Down Syndrome Learners Using Deep Learning Methods
  • An Unsupervised IR Approach Based Density Clustering Algorithm
  • FlexPooling with Simple Auxiliary Classifiers in Deep Networks
  • Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
  • Curriculum Learning for Compositional Visual Reasoning
  • Learning Less Generalizable Patterns for Better Test-Time Adaptation
  • FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flows
  • Emotion Transformer: Attention Model for Pose-Based Emotion Recognition
  • Efficient Deep Learning Ensemble for Skin Lesion Classification
  • Linking Data Separation, Visual Separation, and Classifier Performance Using Pseudo-labeling by Contrastive Learning
  • HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet
  • Few-Shot Gaze Estimation via Gaze Transfer
  • Real-Time Monitoring of Crowd Panic Based on Biometric and Spatiotemporal Data
  • Dynamically Modular and Sparse General Continual Learning
  • Application of Deep Learning to the Detection of Foreign Object Debris at Aerodromes’ Movement Area
  • YCbCr Color Space as an Effective Solution to the Problem of Low Emotion Recognition Rate of Facial Expressions In-The-Wild
  • Applying Positional Encoding to Enhance Vision-Language Transformers
  • Brazilian Banknote Recognition Based on CNN for Blind People
  • Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization
  • Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems
  • FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection
  • Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
  • DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
  • Crane Spreader Pose Estimation from a Single View
  • 3D Mapping of Indoor Parking Space Using Edge Consistency Census Transform Stereo Odometry
  • On Computing Three-Dimensional Camera Motion from Optical Flow Detected in Two Consecutive Frames
  • Low-Cost 3D Reconstruction of Caves
  • How to Train an Accurate and Efficient Object Detection Model on any Dataset
  • Real-Time Obstacle Detection using a Pillar-based Representation and a Parallel Architecture on the GPU from LiDAR Measurements
  • Tackling Data Bias in Painting Classification with Style Transfer
  • VK-SITS: Variable Kernel Speed Invariant Time Surface for Event-Based Recognition
  • System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection
  • Synthetic Driver Image Generation for Human Pose-Related Tasks
  • Body Part Information Additional in Multi-decoder Transformer-Based Network for Human Object Interaction Detection
  • BGD: Generalization Using Large Step Sizes to Attract Flat Minima
  • A Novel 3D Face Reconstruction Model from a Multi-Image 2D Set
  • Algorithmic Fairness Applied to the Multi-Label Classification Problem
  • Improvement of Vision Transformer Using Word Patches
  • The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection
  • DeepCaps+: A Light Variant of DeepCaps
  • IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification
  • A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects
  • A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection
  • Shuffle Mixing: An Efficient Alternative to Self Attention
  • Semantic Segmentation by Semi-Supervised Learning Using Time Series Constraint
  • 3D Human Body Reconstruction from Head-Mounted Omnidirectional Camera and Light Sources
  • 3D Reconstruction of Occluded Luminous Objects
  • Joint Training of Product Detection and Recognition Using Task-Specific Datasets
  • Human Motion Prediction on the IKEA-ASM Dataset
  • End-to-End Gaze Grounding of a Person Pictured from Behind
  • Automatic Defect Detection in Leather
  • Image Generation from a Hyper Scene Graph with Trinomial Hyperedges
  • Neural Architecture Search in the Context of Deep Multi-Task Learning
  • CrowdSim2: An Open Synthetic Benchmark for Object Detectors
  • Domain Adaptive Pedestrian Detection Based on Semantic Concepts
  • A Robust Deep Learning-Based Video Watermarking Using Mosaic Generation
  • Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
  • An End-to-End Multi-Task Learning Model for Image-based Table Recognition
  • PanDepth: Joint Panoptic Segmentation and Depth Completion
  • Multi-Scale Feature Based Fashion Attribute Extraction Using Multi-Task Learning for e-Commerce Applications
  • On Attribute Aware Open-Set Face Verification
  • Self-Modularized Transformer: Learn to Modularize Networks for Systematic Generalization
  • Human Fall Detection from Sequences of Skeleton Features using Vision Transformer
  • Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection
  • Multi-Camera 3D Pedestrian Tracking Using Graph Neural Networks
  • Real-World Case Study of a Deep Learning Enhanced Elderly Person Fall Video-Detection System
  • Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection
  • YOLO: You Only Look 10647 Times
  • Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?
  • Visual Anomaly Detection and Localization with a Patch-Wise Transformer and Convolutional Model
  • An Experimental Consideration on Gait Spoofing
  • Flow-Based Visual-Inertial Odometry for Neuromorphic Vision Sensors Using non-Linear Optimization with Online Calibration
  • Banana Ripeness Level Classification Using a Simple CNN Model Trained with Real and Synthetic Datasets
  • Using Continual Learning on Edge Devices for Cost-Effective, Efficient License Plate Detection
  • Rotation Equivariance for Diamond Identification
  • Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography
  • FedBID and FedDocs: A Dataset and System for Federated Document Analysis
  • Estimating Distances Between People Using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
  • Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets
  • How far Generated Data Can Impact Neural Networks Performance?
  • Object Detection in Floor Plans for Automated VR Environment Generation
  • Absolute-ROMP: Absolute Multi-Person 3D Mesh Prediction from a Single Image
  • Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness
  • MixedTeacher: Knowledge Distillation for Fast Inference Textural Anomaly Detection
  • Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations
  • Surface-Graph-Based 6DoF Object-Pose Estimation for Shrink-Wrapped Items Applicable to Mixed Depalletizing Robots
  • DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth
  • A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes
  • Impact of Vehicle Speed on Traffic Signs Missed by Drivers
  • Transfer Learning for Word Spotting in Historical Arabic Documents Based Triplet-CNN
  • Combining Two Adversarial Attacks Against Person Re-Identification Systems
  • 1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention
  • Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer
  • Fast Eye Detector Using Siamese Network for NIR Partial Face Images
  • Smoothed Normal Distribution Transform for Efficient Point Cloud Registration During Space Rendezvous
  • Exploring Deep Learning Capabilities for Coastal Image Segmentation on Edge Devices
  • False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation
  • Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings
  • A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations
  • Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
  • A Multi-Class Probabilistic Optimum-Path Forest
  • Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States
  • Combining Metric Learning and Attention Heads for Accurate and Efficient Multilabel Image Classification
  • Anisotropic Metasurface for Ultrafast Polarization Control via All-Optical Modulation
  • User-Perception of a Webcam-Based Intervention System for Healthy Habits at Computer Workstations
  • Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support
  • Designing a Digital Personal Coach to Promote a Healthy Diet and Physical Activity Among Patients After Cardiothoracic Surgery
  • Top-Funded Digital Health Companies Offering Services for Type-1 Diabetes Patients: Business Models and Scalability Considerations
  • Scalable Business Models in Digital Healthy Longevity: Lessons from Top-Funded Digital Health Companies in 2022
  • Digital Therapeutics for Healthy Longevity: A Roadmap
  • Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report
  • A Convolutional Neural Network Model for Prediction of ICU Performance Metrics: Time Series and Image Transformation Approaches
  • Knowledge Graph Based Trustworthy Medical Code Recommendations
  • Short-Term and Long-Term Readmission Prediction in Uncontrolled Diabetic Patients using Machine Learning Techniques
  • Personalized Semantic Annotation Recommendations on Biomedical Content Through an Expanded Socio-Technical Approach
  • Attention-Based Explainability Approaches in Healthcare Natural Language Processing
  • An NLP-Enhanced Approach to Test Comorbidities Risk Scoring Based on Unstructured Health Data for Hospital Readmissions Prediction
  • Medical Devices Used in Extreme Conditions in Pre-Hospital Emergency Medicine: Overview of the Issue, Use Case Regarding Mechanical Ventilation at Altitude and Advice
  • How to Create a Biological Sample Collection: Requirements and Tips from an Academic Research Example in France
  • Shaping User-Centered Health Innovation Through Assessment
  • Regulatory Positioning of an Innovative Biomaterial for Regenerative Medicine: TissYou Project
  • Detection of Compound-Type Dark Jargons Using Similar Words
  • Natural Language Explanatory Arguments for Correct and Incorrect Diagnoses of Clinical Cases
  • Defence Workforce Transition Simulation and Analysis
  • Course Scheduling Under Uncertainty for Defence Workforce Training
  • A Serious Game Development and Usability Test for Blood Phobia Treatment - PHOBOS
  • Data Acquisition System for a Wearable-Based Fall Prevention
  • On a Real Real-Time Wearable Human Activity Recognition System
  • Ground-Truthing in the European Health Data Space
  • Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings
  • Fast Exact String to D-Texts Alignments
  • SAT-Based Method for Finding Attractors in Asynchronous Multi-Valued Networks
  • A Service-Based Preset Recommendation System for Image Stylization Applications
  • Learning to Participate Through Trading of Reward Shares
  • A Robust Adaptive Workload Orchestration in Pure Edge Computing
  • Proposal of a Signal Control Method Using Deep Reinforcement Learning with Pedestrian Traffic Flow
  • Bottom-up Japanese Word Ordering Using BERT
  • IACT: Intensive Attention in Convolution-Transformer Network for Facial Landmark Localization
  • Multi-View Video Synthesis Through Progressive Synthesis and Refinement
  • WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
  • SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers
  • TrichANet: An Attentive Network for Trichogramma Classification
  • Monocular Depth Estimation for Tilted Images via Gravity Rectifier
  • Prediction of Shuttle Trajectory in Badminton Using Player's Position
  • Towards the Virtual Human Simulator
  • Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges
  • Beyond the Third Dimension: How Multidimensional Projections and Machine Learning Can Help Each Other
  • A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI
  • A Hierarchical Approach for Multilingual Speech Emotion Recognition
  • Multimodal Unsupervised Spatio-Temporal Interpolation of Satellite Ocean Altimetry Maps
  • Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images
  • DaDe: Delay-Adaptive Detector for Streaming Perception
  • Environmental Information Extraction Based on YOLOv5-Object Detection in Videos Collected by Camera-Collars Installed on Migratory Caribou and Black Bears in Northern Quebec
  • Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data
  • Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval
  • Human Object Interaction Detection Primed with Context
  • Rethinking the Backbone Architecture for Tiny Object Detection
  • Ultra-Low Power Electronic Circuits Inspired by Biological Genetic Processes
  • Turkish Sign Language Recognition Using CNN with New Alphabet Dataset
  • Hemodynamics of Convergent Cavopulmonary Connection with Ventricular Assist Device for Fontan Surgery: A Computational and Experimental Study
  • Perceptions on Telemedicine in Portugal During Sars-Cov-2 Pandemic: A Mixed-Methods Study
  • Quantitative Performance Analysis from Discrete Perspective: A Case Study of Chip Detection in Turning Process
  • Neural Style Transfer for Image-Based Garment Interchange Through Multi-Person Human Views
  • Advanced Deep Transfer Learning Using Ensemble Models for COVID-19 Detection from X-ray Images
  • Stereoscopy in User: VR Interaction
  • Multi-Agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way?
  • Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information
  • FakeRevealer: A Multimodal Framework for Revealing the Falsity of Online Tweets Using Transformer-Based Architectures
  • Exploiting Context in Handwriting Recognition Using Trainable Relaxation Labeling
  • Content Based Image Retrieval Using Depth Maps for Colonoscopy Images
  • Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring
  • An Android App for Posture Analysis Using OWAS
  • Design and Manufacturing of Microtextured Patient-Specific Coronary Stent
  • A Comparative Study of Deep Learning Methods for the Detection and Classification of Natural Disasters from Social Media
  • Workforce Modelling with Experience Accumulation
  • Human Factors for Cybersecurity Awareness in a Remote Work Environment
  • Abstraction of Prevention Conceived in Distributed Knowledge Base
  • Structural Analysis of the Curriculum Through a Bipartite Network
  • Exploring Potential Causal Models for Climate-Society-Conflict Interaction
  • Mainstream and Alternative Narratives in the Wake of Gun Shootings
  • Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study
  • Examining the Intra-Location Differences Among Twitter Samples
  • The Transition from Kanban to Scrum and Risk Prevention in Big Telco Corporation
  • Recommendation of Educational Resources in a Blended Learning Environment
  • Quizzes and Eggs: Exploring the Impact of Course Design Elements on Students’ Engagement
  • Visualizing Environments of Modern Scripting Languages
  • Generating LADs that Make Sense
  • Hybrid Recommender System for Educational Resources to the Smart University Campus Domain
  • MoodleStories: Improving Learner Motivation Through Interactive Visual Stories
  • Student Teacher Interaction While Learning Computer Science: Early Results from an Experiment on Undergraduates
  • TMBQ-LT: A Student-Facing Learning Tool to Support Time Management Skills
  • Effects of Early Warning Emails on Student Performance
  • Virtual Labs as a Tool for Training Preservice Science Teachers
  • Crypto Advisor: A Web Application for Spotting Cross-Exchange Cryptocurrency Arbitrage Opportunities
  • Talk-to-the-Robot: Speech-Interactive Robot To Teach Children Computational Thinking
  • Improving NLP Model Performance on Small Educational Data Sets Using Self-Augmentation
  • Leveraging Web Components for Authoring Interactive Mathematics
  • Adapting Is Difficult! Introducing a Generic Adaptive Learning Framework for Learner Modeling and Task Recommendation Based on Dynamic Bayesian Networks
  • Bridging the Computer Science Teacher Shortage with a Digital Learning Platform
  • Design and Evaluation of Computational Thinking Tasks in the <colette/> Project: Experiences Gained from Workshops with Secondary and Grammar School Students in Austria, the Netherlands, and Slovakia
  • Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map
  • Authoring Tools: The Road to Democratizing Augmented Reality for Education
  • Fact-in-a-Box: Hiding Educational Facts in Short Stories for Implicit Learning
  • Promoting Long-Lasting Interest in Computer Science: An Analysis of High School Teachers' Perspectives
  • K-DAD a Platform for Cooperative Learning in Primary Schools
  • A Transformer Based Semantic Analysis of (non-English) Danish Jobads
  • Investigating Collaborative Problem Solving Temporal Dynamics Using Interactions Within a Digital Whiteboard
  • A STEM Virtual Lab to Improve Girls’ Attitude Towards Technology
  • "Is Computer Science the Right Study Program for Me?": Concept Development of a Mobile Self-Reflection App for Prospective University Students
  • Students' Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education
  • Investigating How Introductory Programming Students Apply Regulation Strategies
  • Visualizing Compiler Design Theory from Implementation Through an Interactive Tutoring Tool: Experiences and Results
  • eduARM: Web Platform to Support the Teaching and Learning of the ARM Architecture
  • The Multipurpose Autonomous Agent Project: Experiential Learning for Engineering Assistive Artificial Intelligence
  • Modeling Spaced Repetition with LSTMs
  • Integration of Virtual Reality with Intelligent Tutoring for High Fidelity Air Traffic Control Training
  • The Impact of COVID-19 on Authoring Open Data Workshop Settings in High School
  • At School of Open Data: A Literature Review
  • Using Deep Learning and Native Mobile App to Assist Autistic Students’ Educational Experience
  • Proposal of Indicators for Measuring Collaborative Writing in a Digital Learning Environment
  • An Analysis of Teaching Informatics by Means of Enactive-Haptic Representations
  • Social Entrepreneurship Intervention Methodology for the Scaling of Perceived Achievement of Social Entrepreneurship Competency and Complex Thinking
  • EuroTeQ as an Alliance to Promote European Engineering Education
  • A Proposal of a New Team Building Method in IT PBL: A Trial of the SENTAI-Hero-Exercise
  • Introducing Digital Education as a Mandatory Subject: The Struggle of the Implementation of a New Curriculum in Austria
  • Which Approach Best Predicts Dropouts in Higher Education?
  • Mapping Task Types and Gameplay Categories in the Context of Declarative Knowledge Training
  • An Analysis Framework for Designing Declarative Knowledge Training Games Using Roguelite Genre
  • Explore Through the Past: Gesture-Based Mobile Game for Children Observing Geological Layer Exhibit at History Museum
  • An Online Collaborative Biology Simulation Used by Ukrainian Students During the 2022 Russian Invasion
  • Do Rules Still Rule? Comprehensive Evaluation of a Rule-Based Question Generation System
  • Towards a Development of Automated Feedback and Diagnostic Assessment System in Support of Literacy Teaching and Learning
  • Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students
  • A Serious Game with Which to Introduce Users to the World of DevOps
  • Modelling Teachers' Digital Maturity: Literature Review and Proposal for a Unified Model
  • Gamebrics: Integrating Analytical Rubrics into Serious Games to Teach Analytical Skills
  • Revision of the AIG Software Toolkit: A Contribute to More User Friendliness and Algorithmic Efficiency
  • Smart Surveys: An Automatic Survey Generation and Analysis Tool
  • The Generalization of the Solution Process in a Mathematical Problem-Solving Activity with an Advanced Computing Environment
  • Ethical Considerations in the Use of Disfluencies in AI-Generated Speech
  • Information Literacy Instructional Practices Among Academic Librarians Within the Asia and Asia-Pacific Region: A Comparative Analysis
  • Designing a Career Exploration Corner for Children with Less Access to Role Models
  • Assessment of Digital and Mathematical Problem-Solving Competences Development
  • Visually-Structured Written Notation Based on Sign Language for the Deaf and Hard-of-Hearing
  • UK Students’ Concerns About Security and Privacy of Online Higher Education Digital Technologies in the Coronavirus Pandemic
  • COVID-19 Impact on the Laboratory Practices of the Automation Subjects at the University of La Laguna
  • Virtual Reality as a Tool for Promoting Diversity, Equity, and Inclusion Within the Higher Education Landscape
  • Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code
  • Design of a Blended Learning ICT Education Program for Undergraduate Students in Asia-Pacific Based on Communities of Practice
  • Davinci Goes to Bebras: A Study on the Problem Solving Ability of GPT-3
  • Using Artificial Intelligence in Higher Education
  • Optimization Analysis for an Uncovered Wagon Transportation with an Interactive Animated Simulation-Based Platform for Multidisciplinary Learning
  • How Far Can We Trust the Predictions of Learning Analytics Systems?
  • Apply an Integrated Responsible AI Framework to Sustain the Assessment of Learning Effectiveness
  • Vegetation Coverage and Urban Amenity Mapping Using Computer Vision and Machine Learning
  • 3D Semantic Scene Reconstruction from a Single Viewport
  • A Deep Learning Approach for Estimating the Rind Thickness of Trentingrana Cheese from Images
  • TabProIS: A Transfer Learning-Based Model for Detecting Tables in Product Information Sheets
  • An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method
  • Layer-wise External Attention for Efficient Deep Anomaly Detection
  • Normalised Color Distances
  • Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework
  • Multi-Scale Surface Normal Estimation from Depth Maps
  • 3D Reference-Based Skeletal Movement Evaluation
  • FUB-Clustering: Fully Unsupervised Batch Clustering
  • Intrinsic Image Decomposition: Challenges and New Perspectives
  • From Depth Sensing to Deep Depth Estimation for 3D Reconstruction: Open Challenges
  • Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues
  • An Integrated Mobile Vision System for Enhancing the Interaction of Blind and Low Vision Users with Their Surroundings
  • Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector
  • Facial Expression Recognition with Quarantine Face Masks Using a Synthetic Dataset Generator
  • A Global Multi-Temporal Dataset with STGAN Baseline for Cloud and Cloud Shadow Removal
  • University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes
  • Software Updates Monitoring & Anomaly Detection
  • The Implementation of an HSM-Based Smart Meter for Supporting DLMS/COSEM Security Suite 1
  • An Energy Management Unit for Predictive Solar Energy Harvesting IoT
  • Analysis of Security Events in Industrial Networks Using Self-Organizing Maps by the Example of Log4j
  • Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods
  • Simulation Based Performance Evaluation of FIWARE IoT Platform for Smart Agriculture
  • CopAS: A Big Data Forensic Analytics System
  • Attack Simulation on Data Distribution Service-based Infrastructure System
  • Green Intelligent Homes: A Perspective on the Future of Smart Homes and Their Implications
  • Deep Dive into Hunting for LotLs Using Machine Learning and Feature Engineering
  • Creating a Personalized Recommendation Framework in Smart Shopping by Using IoT Devices
  • RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series
  • Function-as-a-Service for the Cloud-to-Thing Continuum: A Systematic Mapping Study
  • The Anatomy of an Infrastructure for Digital Underground Mining
  • Reducing IoT Big Data for Efficient Storage and Processing
  • Generative Deep Learning for Solutions to Data Deconflation Problems in Information and Operational Technology Networks
  • Process Automation and Monitoring Systems Based on IIoT Using Private LoRaWAN Networks: A Case Study of ArcelorMittal Vega Facilities
  • EMBEDD-ER: EMBEDDing Educational Resources Using Linked Open Data
  • Ear Training Applications in Music Education: Exploring Utilization, Effectiveness, and Adoption Factors in France
  • Teachers Facing Psychosocial Risks: Adaptation of a French Context Questionnaire to Egypt
  • Multi-Lang Question Answering Framework for Decision Support in Educational Institutes
  • Towards Serendipitous Learning Resource Recommendation
  • A Simulation Tool for Exploring Ammunition Stockpile Dynamics
  • Personnel Data Management System for Workforce Analytics
  • Quantifying the Impact of Secondary Duties on Sailor Workload Through Simulation
  • A Case Study of Genealogical Networks from Network Science Perspective
  • The Correlation Between Media Consumption and Loneliness: The Case of Young People in Portugal
  • An Analysis of Twitter Communities Related to the 2022 War in Ukraine
  • International Economic Integration from the Perspective of Economic Complexity and Economic Fitness: A Methodological Proposal
  • JobIQ: Recommending Study Pathways Based on Career Choices
  • AlgoPoint as an Original Didactic Tool for Introductory Programming Using Flowcharts
  • Is the Scratch Programming Environment Ideal for all? Enhancements to the Scratch IDE to Make it Easier to Use and More Useful for Students and Teachers
  • Student's Attraction for a Carrier Path Related to Databases and SQL: Usability vs Efficiency in Students' Perception -Case Study
  • Improving Learning Motivation for Out-of-Favour Subjects
  • Codeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
  • Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning
  • Online Polyglot Programming Education with LFT (Lingua Franca Transformer)
  • L2 Vocabulary Learning Benefits from Skill-Based Learner Models
  • Growing Grade-by-Grade
  • Feedback in Online Mathematics Tutoring
  • EvscApp: Evaluating the Pedagogical Relevance of Educational Escape Games for Computer Science
  • Common Code Quality Issues of Novice Java Programmers: A Comprehensive Analysis of Student Assignments
  • The Potential of Artificial Intelligence and Emerging Technologies for Digital Accessibility in Childhood Literacies: A Critical Review of the Literature
  • Learning Analytics Solution for Monitoring and Analyzing the Students’ Behavior in SQL Lab Work
  • Estimating the Distribution of Oral Presentation Skills in an Educational Institution: A Novel Methodology
  • Complex Thinking in Interdisciplinarity: An Exploratory Study in Latin American Population
  • STEM in Elementary Teacher Training in Austria
  • The Concept of Derivatives Through Eye-Tracker Analysis
  • Understanding the Gaps in Software Engineering Education from the Perspective of IT Leaders: A Field Study
  • Blended Approach for Deep Learning: A Framework for Teaching Undergraduate Computer Programming Courses
  • Nurturing Social Presence in a Blended Learning Environment
  • ICT-Supported Design Thinking Workshop Program: A Case Study of Encouraging Social Lean-In for High School Students in Japan
  • Getting Ready for the New Normal Way of Working: Using Business Simulation Projects to Foster Work-from-Anywhere Skills
  • An Overview of Toxic Content Datasets for Artificial Intelligence Applications to Educate Students Towards a Better Use of Social Media
  • Determinants of Learners' Self-Directed Learning and on-Line Learning Attitudes in on-Line Learning
  • Communicating Emotions During Lectures
  • Can Emotional Intelligence Act as a Weapon (Warrior) Against Bullying?
  • DotWrangler: A Method for Assessing Fluency, Originality, and Flexibility of Concept Maps and Diagrams at Scale
  • Trading Strategy Validation Using Forwardtesting with Deep Neural Networks
  • Framework for IT Project Management During the COVID-19 Pandemic
  • Using Fuzzy Multiple Criteria Decision Analysis to Explore the Decisive Factors of Charismatic Leadership
  • Optimizing Transport Network to Reduce Municipality Mobility Budget
  • Transportation Infrastructure and Market and Supplier Access: How Do They Shape Foreign Direct Investment?
  • Exploring Situational Leadership Using Critical Incident Technique in the Times of COVID-19
  • Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment
  • ICT-Enabled Community-Based Social Support System Matrix for Elderly: A Social Support Perspective in Japan
  • Dissecting interRAI Instrument Data Using Visual and Predictive Analytics
  • Implementing an Intersectoral Telemedicine Network in Rural Areas: Evaluation from the Point of View of Telemedicine Users
  • Wellbeing Recommender System, a User-Centered Framework for Generating a Recommender System for Healthy Aging
  • Trust in and Acceptance of Video-based AAL Technologies
  • Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision
  • Digitalization of Healthcare Processes Through BPMN for Clinical Risk Monitoring and Management
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  • Does the Intelligent Driver Model Adequately Represent Human Drivers?
  • Massivizing Computer Systems: VU on the Science, Design, and Engineering of Distributed Systems and Ecosystems
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  • Digital Image Processing in the Diagnosis of Cracks in Steel Sheet
  • Examination of the Relationship Between Smartphone Dependency and Driving Behaviour in Young Drivers: Preliminary Analysis
  • An Innovative Approach to Develop Persona from Application Reviews
  • Application of Particle Detection Methods to Solve Particle Overlapping Problems
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  • X-AMINOR: A Mobile Multi-Sensor Platform for Lifecycle-Monitoring of Transformers
  • Parallelism in the Generation of Concepts Through the Formal Context Object Partitioning Using the In-Close 4 Algorithm
  • Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment
  • A Problem Analysis in Game-Based Student Response System from UX Elements Perspective
  • Handling Data Heterogeneity in Federated Learning with Global Data Distribution
  • A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables
  • Simulation-Based Estimation of Resource Needs in Fog Robotics Infrastructures
  • Recommendation Model for an After-School E-learning Mobile Application
  • Design Patterns for Monitoring and Prediction Machine Learning Systems: Systematic Literature Review and Cluster Analysis
  • A Systematic Mapping Study on Security in Configurable Safety-Critical Systems Based on Product-Line Concepts
  • ODRL-Based Resource Definition in Business Processes
  • How to Make IoT Sensitive to Privacy? An Approach Based on ODRL and Illustrated With WoT TD
  • Incremental Reliability Assessment of Large-Scale Software via Theoretical Structure Reduction
  • Conversational Agents for Simulation Applications and Video Games
  • RPA Testing Using Symbolic Execution
  • Practitioners’ Experiences on Developing Graphical Modeling Editors: A Survey
  • Automatic Generation of an Informative Marketing Technological Platform
  • RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series
  • Exploiting Relations, Sojourn-Times, and Joint Conditional Probabilities for Automated Commit Classification
  • Model-Based Documentation of Architectures for Cloud-Based Systems
  • Inspect-GPU: A Software to Evaluate Performance Characteristics of CUDA Kernels Using Microbenchmarks and Regression Models
  • Understanding Compiler Effects on Clone Detection Process
  • Goal-Modeling Privacy-by-Design Patterns for Supporting GDPR Compliance
  • A Tool-Supported Approach for Modeling and Verifying Hybrid Systems using EVENT-B and the Differential Equation Solver SAGEMATH
  • Towards a Novel Approach for Smart Agriculture Predictability
  • A Java Testing Framework Without Reflection
  • Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
  • The Power of Scrum Mastery: An Analysis of Agile Team Performance and Scrum Master Influence
  • Nagare Media Engine: Towards an Open-Source Cloud- and Edge-Native NBMP Implementation
  • Indentation in Source Code: A Randomized Control Trial on the Readability of Control Flows in Java Code with Large Effects
  • An Exploratory Study on the Evidence of Hackathons' Role in Solving OSS Newcomers' Challenges
  • Effectiveness of Data Augmentation and Ensembling Using Transformer-Based Models for Sentiment Analysis: Software Engineering Perspective
  • TERA-Scaler for a Proactive Auto-Scaling of e-Business Microservices
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  • Quality Engineering Framework for Functional Safety Automotive Projects
  • An Analysis of Improving Bug Fixing in Software Development
  • A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning
  • ADM: An Agile Template for Requirements Documentation
  • Child Vaccination in Peru: How to Support it Using Cloud Computing and Blockchain
  • Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection
  • Multi-Output Learning for Predicting Evaluation and Reopening of GitHub Pull Requests on Open-Source Projects
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  • A Hybrid Approach to Overcome Requirements Challenges in the Software Industry
  • Trust Management and Attribute-Based Access Control Framework for Protecting Maritime Cyber Infrastructure
  • Risk Management in IT Project in the Framework of Agile Development
  • An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads
  • Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer
  • Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study
  • Source Code Implied Language Structure Abstraction through Backward Taint Analysis
  • Source-Code Embedding-Based Software Defect Prediction
  • CI/CD Process Development for Blockchain Environment Based on Hyperledger Infrastructure
  • Verifying Data Integrity for Multi-Threaded Programs
  • Towards Good Practices for Collaborative Development of ML-Based Systems
  • Adopting the Actor Model for Antifragile Serverless Architectures
  • A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis
  • Towards Incremental Model-Driven Software Modernisation: Feedback from an Industrial Proof of Concept in Railways
  • Towards Readability-Aware Recommendations of Source Code Snippets
  • Towards Interpretable Monitoring and Assignment of Jira Issues
  • ACPS: Adaptive Cyber-Physical Systems in Industry 4.0
  • Blockchain for Artificial Intelligence: An Industry and Literature Survey
  • Closer: A Tool Support for Efficient Learning Integrating Alexa and ChatGPT
  • Towards Computer Assisted Compliance Assessment in the Development of Software as a Medical Device
  • Quality Measurement of Functional Requirements
  • A Blockchain Self-Sovereign Solution for Secure Generation, Exchange and Management of User Identity Data
  • Software Development Life Cycle for Engineering AI Planning Systems
  • Light Quantum Key Distribution Network Security Estimation Tool
  • Evaluating Label Flipping Attack in Deep Learning-Based NIDS
  • Security for Next-Gen Analytics for Cross-Organisation Collaboration
  • Leveraging Hardware Reverse Engineering to Improve the Cyber Security and Resilience of the Smart Grid
  • On the Implementation of a Lattice-Based Revocable Hierarchical Ibe
  • Lessons Learned: Defending Against Property Inference Attacks
  • ArmorDroid: A Rule-Set Customizable Plugin for Secure Android Application Development
  • SQLi Detection with ML: A Data-Source Perspective
  • Guidelines and a Framework to Improve the Delivery of Network Intrusion Detection Datasets
  • Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models
  • A Comprehensive Risk Assessment Framework for IoT-Enabled Healthcare Environment
  • Adapting P2P Mixnets to Provide Anonymity for Uplink-Intensive Applications
  • On the Security of the Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication
  • Robust Three-Factor Lightweight Authentication Based on Extended Chaotic Maps for Portable Resource-Constrained Devices
  • SEBDA: A Secure and Efficient Blockchain Based Data Aggregation Scheme
  • Data Protection and Security Issues with Network Error Logging
  • Defeating MageCart Attacks in a NAISS Way
  • Fidelis: Verifiable Keyword Search with No Trust Assumption
  • A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning
  • A First Appraisal of Cryptographic Mechanisms for the Selective Disclosure of Verifiable Credentials
  • Lightweight FHE-based Protocols Achieving Results Consistency for Data Encrypted Under Different Keys
  • Approximate Homomorphic Pre-Processing for CNNs
  • Trans-IDS: A Transformer-Based Intrusion Detection System
  • Regulating Cyber Incidents: A Review of Recent Reporting Requirements
  • OCScraper: Automated Analysis of the Fingerprintability of the iOS API
  • Griffin: Towards Mixed Multi-Key Homomorphic Encryption
  • Automated Feature Engineering for AutoML Using Genetic Algorithms
  • Towards Usable Scoring of Common Weaknesses
  • Generic Blockchain on Generic Human Behavior
  • A 10-Layer Model for Service Availability Risk Management
  • Smart Bulbs Can Be Hacked to Hack into Your Household
  • Lattice-Based Threshold Signature Implementation for Constrained Devices
  • Unclonable Cryptography: A Tale of Two No-Cloning Paradigms
  • Design of a New Hardware IP-HLS for Real-Time Image Chaos-Based Encryption
  • How to Plausibly Deny Steganographic Secrets
  • Proctoring Online Exam Using Eye Tracking
  • Toward a Compliant Token-Based e-Voting System with SSI-Granted Eligibility
  • Self-Sovereign Identity (SSI) Attribute-Based Web Authentication
  • International Mutual Recognition: A Description of Trust Services in US, UK, EU and JP and the Testbed “Hakoniwa”
  • Improving Intrusion Detection Systems with Multi-Agent Deep Reinforcement Learning: Enhanced Centralized and Decentralized Approaches
  • Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
  • Detecting BrakTooth Attacks
  • SoK: Towards CCA Secure Fully Homomorphic Encryption
  • Remote Security Assessment for Cyber-Physical Systems: Adapting Design Patterns for Enhanced Diagnosis
  • Anomaly Detection in Smart Grid Networks Using Power Consumption Data
  • Security for Distributed Machine Learning
  • The Explainability-Privacy-Utility Trade-Off for Machine Learning-Based Tabular Data Analysis
  • VerifMSI: Practical Verification of Hardware and Software Masking Schemes Implementations
  • A Lightweight Access Control Scheme with Attribute Policy for Blockchain-Enabled Internet of Things
  • Optimizing Attribute-Based Encryption for Circuits Using Compartmented Access Structures
  • RSSI-Based Fingerprinting of Bluetooth Low Energy Devices
  • On Single-Server Delegation Without Precomputation
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  • Anomaly-Based Intrusion Detection System for DDoS Attack with Deep Learning Techniques
  • A Visual Analysis of Hazardous Events in Contract Risk Management
  • Look at the Horizon: Evaluation of a Software Solution Against Cyber Sickness in Virtual Reality Applications
  • Benchmarking Automated Machine Learning Methods for Price Forecasting Applications
  • Behavioral Recommender System for Process Automation Steps
  • Predicting How Much a Consumer Is Willing to Pay for a Bottle of Wine: Dealing With Data Imbalance
  • Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models
  • Building a Dataset for Trip Style Assessment Based on Real Trip Data
  • Automatic Classification of Quantitative Data from DNS Cache Servers into Stationary and Non-Stationary States Based on Clustering
  • Characterizing Speed Performance of Multi-Agent Reinforcement Learning
  • GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
  • Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology
  • Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification?
  • Enriching Relation Extraction with OpenIE
  • Predicting Academic Performance of Low-Income Students in Public Ecuadorian Online Universities: An Educational Data Mining Approach
  • A Data Analysis Pipeline for Automating Apple Trait Analysis and Prediction
  • A Measure Data Catalog for Dashboard Management and Validation
  • A Semantic Web Approach for Military Operation Scenarios Development for Simulation
  • Identifying High-Quality Training Data for Misinformation Detection
  • Hawkes Processes on Social and Mass Media: A Causal Study of the #BlackLivesMatter Movement in the Summer of 2020
  • Detection of Drowsy Driving Using Wearable Sensors
  • QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques
  • Heterogeneous Ensemble Learning for Modelling Species Distribution: A Case Study of Redstarts Habitat Suitability
  • Effects of Environmental Conditions on Historic Buildings: Interpretable Versus Accurate Exploratory Data Analysis
  • Rigor in Applied Data Science Research Based on DSR: A Literature Review
  • Clustering Object-Centric Event Logs
  • Design and Implementation of a Document Encryption Convergence Program Selecting Encryption Methods, and Integrating the Program into the Existing Office System
  • Prediction of QT Prolongation in Advanced Breast Cancer Patients Using Survival Modelling Algorithms
  • Optimization of Surgery Scheduling Problems Based on Prescriptive Analytics
  • An Ontology-Based Collaborative Business Intelligence Framework
  • Anomaly Detection of Medical IoT Traffic Using Machine Learning
  • Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach
  • Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction
  • Detecting Anomalies on Cryptocurrency Markets Using Graph Algorithms
  • Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings
  • Performance Evaluation and Comparison of a New Regression Algorithm
  • A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems
  • Union k-Fold Feature Selection on Microarray Data
  • Analyzing Cyber-Physical Systems in Cars: A Case Study
  • Decision Support System for Corporate Reputation Based Social Media Listening Using a Cross-Source Sentiment Analysis Engine
  • Sharding and Master-Slave Replication of NoSQL Databases: Comparison of MongoDB and Redis
  • A Design Framework for a Blockchain-Based Open Market Platform of Enriched Card-Based Transactional Data for Big Data Analytics and Open Banking
  • AutoImpute: An Autonomous Web Tool for Data Imputation Based on Extremely Randomized Trees
  • Optimized Fusion Chain with Web3 Storage
  • GreenCC: A Hybrid Approach to Sustainably Validate Manufacturing Data in Industry 4.0 Environments
  • Advances in AI-Based Garment Returns Prediction and Processing: A Conceptual Approach for an AI-Based Recommender System
  • Exploring the Viability of Digital-Only Banking: An Empirical Investigation Using the Push-Pull Model
  • A Strategy for Structuring Teams Collaboration in University Course Projects
  • On the Challenges of Applying Test Driven Development to the Engineering of Big Data Applications
  • Trustworthy Decentralized Last-Mile Delivery Framework Using Blockchain
  • Extending Marketplace Business Model in Academia: A Case of FONBoard
  • Enhancing Product Market Payoff in Small and Medium Internet-Based Firms: A Survey-Based Analysis of Innovation and Competition Factors
  • Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Exploratory Work
  • Next Step: How Digital Literacy Affects Digital Transformation in Companies
  • An Analysis of AI Models for Making Predictions: Groundwater Case Study
  • A Comparison of Enterprise Architecture Tools
  • PhotoHandler: Manipulation of Portrait Images with StyleGANs Using Text
  • Detection and Verification of the Status of Products Using YOLOv5
  • Optimizing B2B Relationships with Post-Covid Sales and Marketing Automation Through ERP Implementation: A Value-Driven Approach in Bangladesh
  • Towards an Evaluation Concept for Business Simulation Games: Preliminary Work and Piloting in SAP ERP Teaching
  • A Context-Based Approach for Real-Time Adaptation Need Detection
  • Towards the Creation of a Holistic Video Analytics Platform for Retail Environments
  • Towards Resolving Security Smells in Microservices, Model-Driven
  • Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors
  • Execution Patterns for Quantum Applications
  • Semantic Coverage: Measuring Test Suite Effectiveness
  • Robotic Process Automation for the Gaming Industry
  • Acadela: A Domain-Specific Language for Modeling Clinical Pathways
  • Can ChatGPT Generate Code Tasks? An Empirical Study on Using ChatGPT for Generating Tasks for SQL Queries
  • Differentiated Monitor Generation for Real-Time Systems
  • Enhancing Game Usability: A Framework for Small-to-Medium-Sized Game Development Businesses
  • Conceptual Framework for Adaptive Safety in Autonomous Ecosystems
  • AIM-RL: A New Framework Supporting Reinforcement Learning Experiments
  • Towards Integration of Sustainable User Experience Aspects in Systems Design: A Human-Centered Framework
  • An Empirical Study on the Possible Positive Effect of Imperative Constructs in Declarative Languages: The Case with SQL
  • IBE.js: A Framework for Instrumenting Browser Extensions
  • Can ChatGPT Fix My Code?
  • Automatic Fuzz Testing and Tuning Tools for Software Blueprints
  • Automatic Test-Based Assessment of Assembly Programs
  • Architectural Evolution Style Representation Model
  • A Web Scraping Algorithm to Improve the Computation of the Maximum Common Subgraph
  • Integration of Heterogeneous Components for Co-Simulation
  • Enhancing ICS Security Diagnostics with Pseudo-Greybox Fuzzing During Maintenance Testing
  • Agile Quality Requirements Elaboration: A Proposal and Evaluation
  • A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring
  • Privacy Protection of Synthetic Smart Grid Data Simulated via Generative Adversarial Networks
  • JShelter: Give Me My Browser Back
  • Threshold Cryptosystems Based on 2 k-th Power Residue Symbols
  • Improvement of Winternitz OTS with a Novel Fingerprinting Function
  • MEMES: Memory Encryption-Based Memory Safety on Commodity Hardware
  • K-Anonymous Privacy Preserving Manifold Learning
  • AIS Authentication Using Certificateless Cryptography
  • One to Bind Them: Binding Verifiable Credentials to User Attributes
  • A Note on a CBC-Type Mode of Operation
  • CAPoW: Context-Aware AI-Assisted Proof of Work Based DDoS Defense
  • Classical to Post-Quantum Secure ABE-IBE Proxy Re-Encryption Scheme
  • Risk-Based Illegal Information Flow Detection in the IIoT
  • ZT-NIDS: Zero Trust, Network Intrusion Detection System
  • On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data
  • Towards a Geometric Deep Learning-Based Cyber Security: Network System Intrusion Detection Using Graph Neural Networks
  • BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports
  • PIUDI: Private Information Update for Distributed Infrastructure
  • BeeHIVE: Behavioral Biometric System Based on Object Interactions in Smart Environments
  • XACML Extension for Graphs: Flexible Authorization Policy Specification and Datastore-Independent Enforcement
  • Informed Consent as Patient Driven Policy for Clinical Diagnosis and Treatment: A Smart Contract Based Approach
  • Using Untrusted and Unreliable Cloud Providers to Obtain Private Email
  • Heterogeneous Graph Storage and Leakage Prevention for Data Cooperatives
  • Smoothing the Ride: Providing a Seamless Upgrade Path from Established Cross-Border eID Workflows Towards eID Wallet Systems
  • Blockchain Data Replication
  • Virtual Private Networks in the Quantum Era: A Security in Depth Approach
  • Secure E-Commerce Protocol with Complex Trading Capabilities of Intermediaries
  • 5G Handover: When Forward Security Breaks
  • IMAGINE Dataset: Digital Camera Identification Image Benchmarking Dataset
  • Uncovering Flaws in Anti-Phishing Blacklists for Phishing Websites Using Novel Cloaking Techniques
  • CNN-HMM Model for Real Time DGA Categorization
  • A Secure Emergency Framework in an IoT Based Patient Monitoring System
  • Migrating Applications to Post-Quantum Cryptography: Beyond Algorithm Replacement
  • Analyzing Image Based Strategies for Android Malware Detection and Classification: An Empirical Exploration
  • Privacy-Preserving Algorithms for Data Cooperatives with Directed Graphs
  • ERC20: Correctness via Linearizability and Interference Freedom of the Underlying Smart Contract
  • A Rand Index-Based Analysis of Consensus Protocols
  • Δ SFL: (Decoupled Server Federated Learning) to Utilize DLG Attacks in Federated Learning by Decoupling the Server
  • Structuring the End of the Data Life Cycle
  • Fundus Unimodal and Late Fusion Multimodal Diabetic Retinopathy Grading
  • Towards a Low-Code Tool for Developing Data Quality Rules
  • Pump and Dump Cryptocurrency Detection Using Social Media
  • Insights from Big Data Economy of Finnish Company Trust, Consumer Confidence and Data Exchange: An Empirical Evidence of Structural Equation Modelling
  • Embedding-Enhanced Similarity Metrics for Next POI Recommendation
  • Astronomical Images Quality Assessment with Automated Machine Learning
  • Decomposition Heuristic for the Aircraft Sequencing Problem: Impact on Mathematical and Constraint Programming
  • IntrusionHunter: Detection of Cyber Threats in Big Data
  • CryptonDL: Encrypted Image Classification Using Deep Learning Models
  • Distributed Edge Computing System for Vehicle Communication
  • Comparing Data Store Performance for Full-Text Search: To SQL or to NoSQL?
  • Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth
  • Disease Prediction with Heterogeneous Graph of Electronic Health Records and Toxicogenomics Data
  • A Proactive Approach for the Sustainable Management of Water Distribution Systems
  • Detection and Prediction of Leakages in Water Distribution Networks
  • Extracting Frequent Gradual Patterns Based on SAT
  • The Imbalance Data Handling of XGBoost in Insurance Fraud Detection
  • BERT-Based Hybrid Deep Learning with Text Augmentation for Sentiment Analysis of Indonesian Hotel Reviews
  • An Advanced BERT LayerSum Model for Sentiment Classification of COVID-19 Tweets
  • A Comparison Study for Disaster Tweet Classification Using Deep Learning Models
  • Geo-Semantic Event-POI Matching of Large Mobility Datasets
  • Behavioral Modeling of Real Dynamic Processes in an Industry 4.0-Oriented Context
  • Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces
  • EREO: An Effective Rule Evaluation Framework for Discovering Interesting Patterns in US Birth Data and Beyond
  • The Application of Affective Measures in Text-Based Emotion Aware Recommender Systems
  • On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines
  • A Successive Quadratic Approximation Approach for Tuning Parameters in a Previously Proposed Regression Algorithm
  • Indoor Navigation for Personalised Shopping: A Real-Tech Feasibility Study
  • Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining
  • Exploring the Test Driven Development of an Information Retrieval System
  • There is More than Mean and Variance on Waiting
  • Performance of a K-Means Algorithm Driven by Careful Seeding
  • Integrating a Multi-Agent System Simulator and a Network Emulator to Realistically Exercise Military Network Scenarios
  • Simulation Structure for Simulation Model of MCFC–GT Hybrid System
  • Designing an Agent-Based Model for a City-Level Simulation of COVID-19 Spread in Cyprus
  • Hemodynamic Characterization of Localized Aortic Valve Calcifications
  • Metrics and Metamodels for Mission-Based Assessment of Multi-Aircraft Force Compositions
  • The Features of Design Calculation Stages of Parameters of Flow Path of Cascade Compressor of Twin Shaft Gas Turbine Engine Core on Base of 1D and 2D Dimensional Models of Their Working Process
  • Improving the Thermal Condition of the High-Pressure Turbine Blade
  • Performance Evaluation of Free Space Optics Laser Communications for 5G and Beyond Secure Network Connections
  • Analytical Model of Communication Algorithm for Simulations with Range-Limited Interactions
  • Mitigation of LLDP Topological Poisoning Attack in SDN Environments Using Mininet Emulator
  • Optimization of a Deep Reinforcement Learning Policy for Construction Manufacturing Control
  • Agent Based In-Situ Visualization by Guide Field
  • Practical Implementation of Diode SPICE Model with Reverse Recovery
  • Using Analytical Methods and Simulation to Estimate the Magnitude of Errors in Calculations for Recovery in Washed Red Blood Cells
  • Performance and Efficiency Improvement of an Axial Flow Fan by Combining the FANDAS and the PIAnO Codes
  • Joint Stiffness Adjustment of a Pneumatic Driven Exoskeleton
  • Towards a Digital Twin Simulation for Cycle Times Analysis in a Cyber-Physical Production System
  • Exploring the Effects of Subversive Agents on Consensus-Seeking Processes Using a Multi-Agent Simulator
  • Modeling of Naïve Lymphocyte Signaling Pathway
  • Learning Heuristics for Topographic Path Planning in Agent-Based Simulations
  • Position Analysis of the Atomiser Unit of an Aerosol-on-Demand Jet-Printhead by means of Computational Fluid Dynamics
  • Work in Progress: Extending Virtual Prototypes of Microprocessor Architectures with Accuracy Tracing
  • A Comparison of the Dynamic Temperature Responses of Two Different Heat Exchanger Modelling Approaches in Simulink Simscape for HVAC Applications
  • The E-Dossier as a Tool to Optimize Civil Courts: The Cuneo Case
  • A Digital Twin Simulator Approach as a Support to Develop an Integrated Observatory of the Epidemic Risk in a Rural Community in Senegal
  • Implicit Multilinear Modeling of Air Conditioning Systems
  • A Novel OMNeT++-Based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-Compliant 5G Environments
  • Impact of Inventory Management Policies on Supply Chain Resilience at RiRiShun Logistics
  • Network Structure Identification for Medium Transport in a Virtual Reality Environment
  • Large Language Models for Code Obfuscation Evaluation of the Obfuscation Capabilities of OpenAI’s GPT-3.5 on C Source Code
  • Managing Trade-off Between Cost and Time in Project Scheduling Problems Using Discrete Event Simulation
  • Consensus Simulator for Organisational Structures
  • A Topic-Based Data Distribution Management for HLA
  • Project Management Information System Data Model Development and Explanation
  • Expanding the Scope and Increasing the Functionality of Digital Twins by Integrating Thermal Simulations
  • A Flood Prediction Benchmark Focused on Unknown Extreme Events
  • DataFITR: An Open, Guided Input Modeling Tool for Creating Simulation-Based Digital Twins
  • Interaction-Based Task Group Scheduling for a Scalable and Real-Time Self-Driving Simulation
  • Lyapunov Function Computation for Linear Switched Systems: Comparison of SDP and LP Approaches
  • Event-Oriented Simulation Module for Dynamic Elastic Optical Networks with Space Division Multiplexing
  • Building Commuting Flows for an Agent Based Disease Spreading Simulation System Based on Aggregated Information
  • LiDAR-GEiL: LiDAR GPU Exploitation in Lightsimulations
  • Robust Finite-Time Control of a Multirotor System via an Improved Optimized Homogeneous Twisting Control: Design and Validation
  • Efficient Machine-Learning-Based Crypto Forecasting Analysis
  • Modeling & SMC Based Trajectory Tracking for a Tilt-Rotor Convertible UAV
  • Doctrine-Based Multi-Resolution Conversion for Distributed Agent-Based Simulations
  • Numerical Investigation of a High-Capacity Vertical Submersible Two-Stage Pump and Realization of an Experimental Test Bench for Determining the Strains and the Stresses on a Pump Shaft
  • An Open Tool-Set for Simulation, Design-Space Exploration and Optimization of Supply Chains and Inventory Problems
  • Multi-Environment Training Against Reward Poisoning Attacks on Deep Reinforcement Learning
  • Temporal Multidimensional Model for Evolving Graph-Based Data Warehouses
  • QTrail-DB: A Query Processing Engine for Imperfect Databases with Evolving Qualities
  • A 3D Descriptive Model for Designing Multimodal Feedbacks in any Virtual Environment for Gesture Learning
  • Beyond Traditional Web Technologies for Locally Web-Services Migration
  • Privacy in Practice: Private COVID-19 Detection in X-Ray Images
  • Simulation of Steady and Transient 3D Flows via Physics-Informed Deep Learning
  • Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis
  • Developing a Framework for Multi-Scale Modeling of the Digital Patient: Insights from Current Status and Future Directions
  • Context-Aware Behavioral Fingerprinting of IoT Devices via Network Traffic Analysis
  • Unveiling the Digital and Sustainability Convergence: Leveraging Blockchain for Grand Challenges Oriented Business Model Innovation
  • Receipt-Free Electronic Voting from zk-SNARK
  • Industrial Transformation Roadmap for Digitalisation and Smart Factories: The Danish SMEs Model
  • A Two-Party Hierarchical Deterministic Wallets in Practice
  • Study of Carbon Dioxide (CO2) Emissions Load from Transportation Sources in Sukorejo Village Gresik
  • Production Quality Control Analysis in Battery Product Quality Improvement Efforts
  • MSMI Development Strategy in the Era of the Industrial Revolution 4.0 and Society 5.0
  • Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse
  • Simulation and Model Prediction of Interfacial Concrete-to-Concrete Shear-Friction Behavior
  • Simulation of Curvature Ductility of Reinforced Concrete Cantilever Beam Under Variety of Section Ratio
  • Impact of Climate Change on Corroded Reinforced Concrete Structure in Indonesia Using Web Information Systems and Technology-Probability Approach
  • The Influence Analysis of Work Stress, Work Environmental and Motivation on Employee Performance Through Job Satisfaction as an Intervening Using Variable SEM (Structural Equation Modelling) Method
  • Proposed Model for Halal Blockchain Barrier: Literature Review and Interview
  • Monthes: A Compact Software Traceability Dataset
  • Structural Modelling and Assessment of RC Beam-Column Joints Subjected to Seismic Loads for Progressive Collapse Approach
  • A Novel Polymer Electrolyte Membrane PES/SPEEK-TIO2 Potential for Direct Methanol Fuel Cell
  • Integrated Web Based Information System with Short Message Service (SMS) Gateway for Natural Disaster Preparations: Case Study in Kediri Region, East Java Indonesia
  • Modelling of Structural Strengthening Techniques for Existing Building and Structures: Case Study Club House Graha Natura Under Lift Loading Using Carbon Fibre-Reinforced Polymer (CFRP)
  • Simulation and Numerical Modelling of Heritage Stone Masonry Timber Structure in Seismic Region
  • Development of Augmented Reality Based Learning Applications in Introducing Types of Animals after the Covid-19 Pandemic
  • Applying Design Thinking in Food-Waste Mobile Application
  • Production of Biodiesel from Microalgae Using Transesterification Batch Reactor with the Assistance of Calcium Oxide Hydrotalcite Catalyst
  • Model Design of the Mine Drainage System Kaolin Mining Site Djawani Gunung Abadi, Trenggalek Regency, East Java Province
  • Design and Build Two Wheel Balancing Robot Simulation with Fuzzy PID
  • Design of Internet Electrical Power Usage Metering System Based on ESP32s Mcu and Mysql Database with User Interface Application
  • K-Means Algorithm Grouping for Visualizing Potential of Hydrogen (pH) Data in Kali Lamong River
  • Experimental Study to Analyze the Effect of Fan Speed on Energy Efficiency in Open Cathode Pem Fuel Cells
  • The Evaluation of Intersection Traffic Characteristics and Analysis by the Micro Simulation Program
  • Determination of Breakfast Menu Patterns on the Fast Food Restaurant Using Apriori Algorithm
  • Productivity Analysis of Heavy Equipment in the Nglurup Pond Project, Tulungagung Regency East Java Examined from Time and Cost Analysis
  • On-Grid Study of Rooftop Solar PV Energy Production System with Four Different Faces
  • Evaluation System Usability Scale (SUS) Method on Batik Website
  • Determinants of Consumer Behavior Towards Purchase Intention of Halal Cosmetic Product Using Structural Equation Modelling Approach
  • Modified Particle Swarm Optimization for Clustering
  • Solar Simulation to Realize the Concept of Smart Building at Ibnu Sina Regional General Hospital of Gresik
  • Hazard and Operability Study (HAZOP) Based RAMS Plus C Using Genetic Algorithm Optimization in Heater Naphtha Hydro Treater, Oil Refinery Unit, Cilacap Indonesia
  • Energy Continuity of the Electricity at Surabaya Mall Using Continues Power Flow Methods
  • Enhancing the Efficiency of 100 WP Solar Panels with the Active Method of Circulating Cooling Water System
  • Damage Simulation Using Digital Image Correlation Technique Under Review Development for Structural Monitoring
  • Analysis of the Effectiveness of Cashier Service with a Simulation of the Queue System
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  • Effects of Business and Supply Chain Uncertainty to Business Sustainability in Indonesian Coal Industry: An Exploratory Study
  • Sustainability-Focused Integrated Civil Engineering Research and Education
  • CFD Based Performance Prediction Model for Paddle Wheel Aerator
  • Defence Scheme on Madura Island Against System Loading Variation for Energy Security
  • Alternating Current Electric Field (ACEF) to Maintain Plant-Based Product Quality
  • Numerical Simulation of Scouring Around Four Cylindrical Piles with Different Inclination Angles Arrangements
  • Preliminary Results from a Field Experiment on Volcanic Tremor at Ijen Volcano Using an Array of Digital Seismographs
  • Multiple Linear Regression Modeling of Brachen Water Quality Parameters for Vannamei Shrimp Cultivation
  • Analysis of the Application of Eco Interior Design Concepts in Shipping Container Buildings: Case Study in Arbanat Restaurant Malang
  • Model of Building Envelope Towards Energy Efficiency and Adaptability as the Architectural Approach
  • Risk Analysis of Biodiesel Production from Used Cooking Oils with Risk-Based Thinking ISO 9001:2015 Approach
  • Integration of Lean Six Sigma and Green Productivity for Manufacturing SMEs
  • The Fuel Characteristics of a Diethyl Ether–Ethanol–Gasoline Mixture as a Performance and Exhaust Improvement in Matic Spark Ignition Engine
  • Research on SVPWM and Midpoint Potential Balancing Algorithm of Improved NPC Three-Level Inverter
  • Design of a Logistics Allocation Scheme Based on the Approximate: Relaxed Approach to Batching Algorithm
  • Design and Simulation for Disk-type Magnetorheological Fluid Transmission Device
  • Design and Simulation of Adsorption Citrus Picking Actuator
  • Special Vehicle Collision Safety Analysis
  • Research on Academic Warning of Online Learning Behavior based on K-Means Clustering Algorithm
  • Criticality Safety Calculation and Analysis for NPP Transportation of Fuel Assemblies
  • Design of Geographic Entity Database of 3D Real Scene About Xi’an City
  • Finite Element Simulation on The Tensile Property of Steel Cord at Different Lay Lengths Under Axial Loading
  • The Intelligent Technology Application of Green Building in Our Country Based on the Green Label and LEED
  • Expert System for the Control of Effluent TN Excedance of AAO Process
  • Design of Double-Loop Trajectory Tracking Control System for Mobile Robot
  • Construction of Big Data Monitoring Cloud Platform for New Energy Industry Chain
  • Dynamic Mode Decomposition of Hydrofoil Cavitation
  • Laser Detection Manipulator Stability Control Based on Inversion Control
  • Goertzel Algorithm Based on Matlab Platform System Simulation for Listening Dial Tone Recognition Research
  • Evaluation of Space Measurement Radar Maintenance Support Capability Based on System Dynamics
  • Semi-Active Damping Control of Vehicles Based on Negative Stiffness Suspensions
  • Sliding Mode Formation Control for Multiple Hypersonic Glide Vehicles
  • Intra-Vehicular Network Security Datasets Evaluation
  • When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning
  • Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms
  • A Study on Multi-Objective Optimization of Epistatic Binary Problems Using Q-learning
  • Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters
  • Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites
  • A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions
  • Comparison of Different Surrogate Models for the JADE Algorithm
  • Equidistant Reorder Operator for Cartesian Genetic Programming
  • Adaptive Case Selection for Symbolic Regression in Grammatical Evolution
  • Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization
  • MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization
  • Optimizing CMA-ES with CMA-ES
  • Enhancing ε-Sampling in the AεSεH Evolutionary Multi-Objective Optimization Algorithm
  • A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions
  • A Hybrid Bayesian-Genetic Algorithm Based Hyperparameter Optimization of a LSTM Network for Demand Forecasting of Retail Products
  • Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
  • On Switching Selection Methods to Increase Parsimony Pressure
  • Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem
  • A Game Theoretic Approach Based on Differential Evolution to Ensemble Learning for Classification
  • Hybrid Training to Generate Robust Behaviour for Swarm Robotics Tasks
  • Meta-Heuristic Optimization of Transistor Sizing in CMOS Digital Designs
  • Assisting Convergence Behaviour Characterisation with Unsupervised Clustering
  • A Survey and Analysis of Evolutionary Operators for Permutations
  • Challenges of ELA-Guided Function Evolution Using Genetic Programming
  • Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection
  • Towards Understanding Crossover for Cartesian Genetic Programming
  • Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not
  • Differential Evolution Algorithm Based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition
  • Approximations of New MV-Valued Types of Fuzzy Sets
  • Measuring and Ranking Bipolarity via Orthopairs
  • On the Categories of Coalgebras, Dialgebras and Powerset Theory over L-Fuzzy Approximation Spaces
  • Fuzzy Least Squares and Fuzzy Orthogonal Least Squares Linear Regressions
  • A New Approach to Addressing Uncertainty in Information Technology with Fuzzy Multi-Criteria Decision Analysis
  • Semi-Supervised Fuzzy C-Means for Regression
  • A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality
  • Experimental Assessment of Heterogeneous Fuzzy Regression Trees
  • A Concept for Optimizing Motor Control Parameters Using Bayesian Optimization
  • Smooth Sliding Mode Control Based Technique of an Autonomous Underwater Vehicle Based Localization Using Obstacle Avoidance Strategy
  • Advanced Trajectory Planning and 3D Waypoints Navigation of Unmanned Underwater Vehicles Based Fuzzy Logic Control with LOS Guidance Technique
  • Technological Solution for Crime Prevention in Los Olivos
  • RoboToy Demoulding: Robotic Demoulding System for Toy Manufacturing Industry
  • A Dynamic Computational Model of Head Sway Responses in Human Upright Stance Postural Control During Support Surface Tilt
  • CASP: Computer Aided Specimen Placement for Robot-Based Component Testing
  • Design and Control of Wearable Ankle Robotic Device
  • On Selecting Optimal Hyperparameters for Reinforcement Learning Based Robotics Applications: A Practical Approach
  • Real Time Orbital Object Recognition for Optical Space Surveillance Applications
  • Fractional Order-Sliding-Mode Controller for Regulation of a Nonlinear Chemical Process with Variable Delay
  • TEAM: A Parameter-Free Algorithm to Teach Collaborative Robots Motions from User Demonstrations
  • Driver Attention Estimation Based on Temporal Sequence Classification of Distracting Contexts
  • Computing the Traversability of the Environment by Means of Sparse Convolutional 3D Neural Networks
  • Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes
  • Experimental Validation of an Actor-Critic Model Predictive Force Controller for Robot-Environment Interaction Tasks
  • Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV
  • Robot Path Planning with Safety Zones
  • On-Board Estimation of Vehicle Speed and the Need of Braking Using Convolutional Neural Networks
  • Experimental Validation of the Non-Orthogonal Serret-Frenet Parametrization Applied to the Path Following Task
  • Probabilistic Physics-Augmented Neural Networks for Robust Control Applied to a Slider-Crank System
  • A Clustering-Based Approach for Adaptive Control Applied to a Hybrid Electric Vehicle
  • Mapping, Localization and Navigation for an Assistive Mobile Robot in a Robot-Inclusive Space
  • Single Source of Truth: Integrated Process Control and Data Acquisition System for the Development of Resistance Welding of CFRP Parts
  • Comparative Analysis of Segmentation Techniques for Reticular Structures
  • Dual-Arm Compliance Control with Robust Force Decomposition
  • Kinematics Based Joint-Torque Estimation Using Bayesian Particle Filters
  • Robust Single Object Tracking and Following by Fusion Strategy
  • Locally Convex Neural Lyapunov Functions and Region of Attraction Maximization for Stability of Nonlinear Systems
  • Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
  • Sensorless Reduction of Cane Oscillations Aimed at Improving Robotic Grapevine Winter Pruning
  • Contraction Metrics by Numerical Integration and Quadrature: Uniform Error Estimate
  • Dynamic Periodic Event-Triggered Control for Linear Systems Based on Partial State Information
  • Learning-Based Inverse Dynamic Controller for Throwing Tasks with a Soft Robotic Arm
  • Simultaneous Planning of the Path and Supports of a Walking Robot
  • Curved Surface Inspection by a Climbing Robot: Path Planning Approach for Aircraft Applications
  • A Linear Regression Based-Approach to Collective Gas Source Localization
  • An Unsupervised Neural Network Approach for Solving the Optimal Power Flow Problem
  • Zeroth-Order Optimization Attacks on Deep Reinforcement Learning-Based Lane Changing Algorithms for Autonomous Vehicles
  • Multi-Agent Pathfinding for Indoor Quadcopters: A Platform for Testing Planning-Acting Loop
  • Trajectory Planning for Multiple Vehicles Using Motion Primitives: A Moving Horizon Approach Under Uncertainty
  • Positively Invariant Sets for ODEs and Numerical Integration
  • Stereo Video Camera Calibration in the Wild
  • SMaNa: Semantic Mapping and Navigation Architecture for Autonomous Robots
  • Muscle-Like Soft Actuation for Motor-Less Robotic Exoskeletons
  • Fault Diagnosis with Stacked Sparse AutoEncoder for Multimode Process Monitoring
  • A PLF-CACC Design with Robustness to Communication Delays
  • An Efficient Resilient MPC Scheme via Constraint Tightening Against Cyberattacks: Application to Vehicle Cruise Control
  • Hand Gesture Interface to Teach an Industrial Robots
  • Emergency Meteorological Data Preparation for Artillery Operations
  • Spectral Clustering in Rule-Based Algorithms for Multi-Agent Path Finding
  • Soft Robotic Tongue Mimicking English Pronunciation Movements 2 Report: Fabrication and Experimental Evaluation
  • Low-Cost Synchronization Techniques for KUKA Robots and External Axes in Low-Dynamic Processes
  • Position/Velocity Aided Leveling Loop: Continuous-Discrete Time State Multiplicative-Noise Filter Case
  • Creating of Minefield Breaches with Artillery
  • Design and Control of a Novel High Payload Light Arm for Heavy Aerial Manipulation Tasks
  • Enhanced Optimal Beacon Placement for Indoor Positioning: A Set Variable Based Constraint Programming Approach
  • Modelling of a 6DoF Robot with Integration of a Controller Structure for Investigating Trajectories and Kinematic Parameters
  • Neural-Network for Position Estimation of a Cable-Suspended Payload Using Inertial Quadrotor Sensing
  • CFRLI-IDM: A Counterfactual Risk Level Inference Based Intelligence Driver Model for Extremely Aggressive Cut-in Scenario in China
  • A Decision-Making Architecture for Human-Robot Collaboration: Model Transferability
  • Mobile Robot Navigation Based on Pedestrian Flow Model Considering Human Unsteady Dynamic Behavior
  • A Study on Acquisition of 3D Self-Localization by Fluorescent Lights
  • Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry
  • Distributed Predictive Control for Roundabout Crossing Modelled by Virtual Platooning
  • Shape Transformation with CycleGAN Using an Automobile as an Example
  • Interval Type-2 Fuzzy Control to Solve Containment Problem of Multiple USV with Leader’s Formation Controller
  • A Study on the Energy Efficiency of Various Gaits for Quadruped Robots: Generation and Evaluation
  • Development of Walking Assistance Orthosis by Inducing Trunk Rotation Using Leg Movement: 1 st Report on Prototype and Feasibility Experiment
  • Offline Feature-Based Reinforcement Learning with Preprocessed Image Inputs for Liquid Pouring Control
  • Variable Trust Setting for Safe and Ethical Algorithms for Navigation of Autonomous Vehicles (C-NAV) on a Highway
  • Preliminary Results on Controllability of Serial Robot-Manipulators in Singular Configurations
  • A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators
  • Proposal of a New Approach Using Deep Learning for QR Code Embedding
  • Hand-Drawn Diagram Correction Using Machine Learning
  • Longitudinal Motion Control of Underactuated Cruising AUVs for Acoustic Bottom Survey
  • LQR Combined with Fuzzy Control for 2-DOF Planar Robot Trajectories
  • From Point Cloud Perception Toward People Detection
  • Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model
  • Learning How to Use a Supernumerary Thumb
  • Thorough Analysis and Reasoning of Environmental Factors on End-to-End Driving in Pedestrian Zones
  • High-Velocity Walk-Through Programming for Industrial Applications: A Safety-Oriented Approach
  • A Study on Gathering Staircase Information for Active Staircase Entry of Wheelchair Stair Climbing Assistive Devices
  • University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning
  • Explainable Machine Learning for Evapotranspiration Prediction
  • Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)
  • Adaptive Direct Compensation of External Disturbances for MIMO Linear Systems with State-Delay
  • Study on Cost Estimation of the External Fleet Full Truckload Contracts
  • Design of Acceleration Command for Feed Drive System in Corner Motion
  • A Low-Cost Printed Circuit Board Design for External Force Measuring in Robotic Applications
  • Comprehensive Φ-Bonacci Index for Walking Ability Assessment in Paroxysmal Positional Vertigo: Role of Rehabilitation
  • Cycle Life Prediction of Lithium-Ion Batteries Using Deep Learning
  • Breast Cancer Epidemic Model and Optimal Control
  • Relationship Between Tableting Motion and Tablet Hardness in Compression Molding
  • Bayesian State Estimation Using Constrained Zonotopes
  • Analysis of Powder Behavior Inside the Mortar During Tableting Process
  • Fixed-Time Tracking Control for a Class of Nonlinear Systems via Command Filtered Backstepping
  • Network Analysis of the Egyptian Reddit Community
  • Using the Built-in iPhone Body Tracking System for Neurological Tests: The Example of Assessing Arm Weakness in Stroke Patients: A Preliminary Evaluation of Accuracy and Performance
  • Application of a Simulation Platform for the Study and Experimental Comparison of PEM Electrolyzer Models
  • Tuning the Dynamic Response of a Redundant Robotic System Using Its Dominant Natural Frequencies
  • Wireless Remote Control of Low-Cost Smart Devices for No-Coders
  • Joint-Based Robotic Impedance Control Transformations: An Experimental Study
  • Dynamic Model of the Weighing Process of an Industrial Combination Scale: Model Development and Simulative Analysis of the Product Impact Force
  • An Observer Design Method Using Ultra-Local Model for Autonomous Vehicles
  • Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model
  • Design of Modular and Distributable Automation Software for PLCs
  • Stochastic Estimation of Fundamental and Harmonic Signal Components
  • Learning-Based Energy Consumption Model of Machining Processes Using Gaussian Process Regression
  • Evaluation of Controllability of Interaction Between Pedestrian and Autonomous Mobile Robot in Shared Mobility Space
  • Effects Study of Sensors’ Placement on the Accuracy of a 3D TDOA-Based Localization System
  • Towards a Novel Nonlinear PID Controller Tuned with Particle Swarm Optimization with Improved Performance for First Order Plus Time Delay (FOPTD) Systems
  • Ultra-Wideband Direct RF Sampling Transceiver Design
  • MultiSpectrum Inspection of Overhead Power Lines
  • Multiphysics Simulation for the Optimization of an Optoelectronic-Based Tactile Sensor
  • Single-Experiment Reconstructibility of Boolean Control Networks Revisited
  • Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs
  • Schedulling Production Based on an Optimized Production Sequencer and Manufacturing Maps
  • Non-Parallel Training Approach for Emotional Voice Conversion Using CycleGAN
  • Improving the License Plate Character Segmentation Using Naïve Bayesian Network
  • Secured Communication of Speech Signal Using the Discrete Cosine Transform Based on Hyperchaos-System
  • Reaction Time Estimation Based on Recursive Short-Term Principal Component Analysis for Skeletal Information of Badminton Players
  • Validation of a Biomechanical Performance Assessment Platform Applying an Inertial-Bpased Biosensor and Axis Vector Computation
  • Bayesian Hierarchical Modelling of Basketball Team Performance: An NBA Regular Season Case Study
  • Automated System for Indoor Sport Video Production
  • Can Ensemble Learning Approaches for Offside Detection Work?
  • Detection of Shot Information Using Footwork Trajectory and Skeletal Information of Badminton Players
  • Vertical Launch Angle Measurement of a Golf Ball Using Audio and Monocular Video Data
  • The Relationship of Situational Efficiency Parameters of Volleyball Game Phases and Their Intrateam Variability with the Set Score
  • 2Trax3: Raising Accessibility and Everyday Use of Automatic Motion Analysis in (Combat) Sports via ML Enhanced 2D to 3D Estimation Algorithms
  • VICE: View-Invariant Chess Estimation
  • Development of a Method for Reproducing Measured Orbital Data of Curling Stone by VR Technology
  • Statistical Analysis of Recent Rule Revision Effects for Tactical and Strategic Elements in Curling
  • Development of a Curling Stone Tracking System Using Infrared LEDs, and an Accompanying Application
  • Accelerometer Based Body Movement Quantification in Classroom Lectures: Seated Activity Comparison Between Body Regions
  • Video Analysis Application to Assess the Reaction Time in an ATP Tennis Tournament
  • Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS
  • Construction of a Virtual Environment to Measure the Evolution of Kendo Athletes
  • Evaluating the Impact of Mouse Curvature Design on Hand Ergonomics and Comfort in E-Sport Players Through EMG and 3D Kinematics Measurement Methods
  • Energetic Cost of Running in Track and Treadmill
  • Development of Monocular Vision-Based Tracking Method for Wheelchair Sports
  • Modelling Drag Forces on a Wheelchair Racing Simulator
  • FOOTBALLTrace: An AI-Based System for Football Player Tracking with Occlusion Detection and Trajectory Correction
  • No Pain no Game or More Game More Pain? The Effects of Summer Congested Games Periods on Professional European Male Football Players’ Injury Occurrences for the Following Season: A Data Analytics Approach
  • The 12th Player: Explainable Artificial Intelligence (XAI) in Football: Conceptualisation, Applications, Challenges and Future Directions
  • Influence of Sport on Autonomic Dysreflexia of a Patient with Spinal Cord Injury
  • Investigations of the Throwing Biomechanics Index in Collegiate Baseball Pitchers
  • Identifying Similar Top-K Household Electricity Consumption Patterns
  • Detecting Greenwashing in the Environmental, Social, and Governance Domains Using Natural Language Processing
  • Speech Detection of Real-Time MRI Vocal Tract Data
  • A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders
  • Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks
  • Closeness Centrality Detection in Homogeneous Multilayer Networks
  • Subject Classification of Software Repository
  • Recommendation System for Product Test Failures Using BERT
  • An Explainable Knowledge Graph-Based News Recommendation System
  • A Comparative Study on Main Content Extraction Algorithms for Right to Left Languages
  • UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization
  • LAxplore: An NLP-Based Tool for Distilling Learning Analytics and Learning Design Instruments out of Scientific Publications
  • Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure
  • Enterprise Search: Learning to Rank with Click-Through Data as a Surrogate for Human Relevance Judgements
  • The Partition Problem, and How The Distribution of Input Bits Affects the Solving Process
  • Development of Cart with Providing Constant Steerability Regardless of Loading Weight or Position: 3 rd Report on Evaluation of a Steering Assist System on Translational Movement
  • Masry: A Text-to-Speech System for the Egyptian Arabic
  • A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering
  • Enhancing Healthcare in Emergency Department Through Patient and External Conditions Profiling: A Cluster Analysis
  • Mapping Cost-Sensitive Learning for Imbalanced Medical Data: Research Trends and Applications
  • Which Word Embeddings for Modeling Web Search Queries? Application to the Study of Search Strategies
  • Deep Reinforcement Agent for Efficient Instant Search
  • Visual Counterfactual Explanations Using Semantic Part Locations
  • KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction
  • Collaborative Emotion Annotation: Assessing the Intersection of Human and AI Performance with GPT Models
  • Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems
  • Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations
  • Enhancing Diabetic Retinopathy Detection Using CNNs with Dimensionality Reduction Techniques and K-Nearest Neighbors Ensembles
  • Attentional Sentiment and Confidence Aware Neural Recommender Model
  • Automated Classification of Building Objects Using Machine Learning
  • Impact of Thresholds of Univariate Filters for Predicting Species Distribution
  • Make Deep Networks Shallow Again
  • A Long-Term Funds Predictor Based on Deep Learning
  • DrBerry: Detection of Diseases in Blueberry Bush Leaves
  • Unified New Techniques for NP-Hard Budgeted Problems with Applications in Team Collaboration, Pattern Recognition, Document Summarization, Community Detection and Imaging
  • Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era
  • Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets
  • Machine Learning in Customer-Centric Web Design: The Website of a Portuguese Higher Education Institution
  • Enhancing Gesture Recognition for Sign Language Interpretation in Challenging Environment Conditions: A Deep Learning Approach
  • Evaluation of Information Retrieval Models and Query Performance Predictors for Amharic Adhoc Task
  • Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment
  • Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment
  • An Explorative Guide on How to Detect Forged Car Insurance Claims with Language Models
  • Classification of Questionnaires with Open-Ended Questions
  • Pill Metrics Learning with Multihead Attention
  • Machine Learning Models for Prostate Cancer Identification
  • Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach
  • Interdependencies and Cascading Effects of Disasters on Critical Infrastructures: An Analysis of Base Station Communication Networks
  • Mexico City’s Urban Trees Reforestation Based on Characteristics of Plantation Sites
  • Knowledge Discovery for Risk Assessment in Economic and Food Safety
  • Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold
  • On the Value of Combiners in Heterogeneous Ensemble Effort Estimation
  • Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation
  • Challenges in Implementing a University-Based Innovation Search Engine
  • EvdoGraph: A Knowledge Graph for the EVDOXUS Textbook Management Service for Greek Universities
  • Development of an OWL Ontology Based on the Function-Oriented System Architecture to Support Data Synchronization Between SysML and Domain Models
  • A Novel Approach to Ontological View-Based Semantic Mapping in Decentralized Environments
  • A Data Mesh Adaptable Oil and Gas Ontology Based on Open Subsurface Data Universe (OSDU)
  • Using Paraphrasers to Detect Duplicities in Ontologies
  • Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective
  • Mechanical Fault Prediction Based on Event Knowledge Graph
  • An Ontology-Based Question-Answering, from Natural Language to SPARQL Query
  • Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects
  • IoT-Enabled Agroecology: Advancing Sustainable Smart Farming Through Knowledge-Based Reasoning
  • OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects
  • Discovering Ontological Knowledge in Unstructured Recipes of a Portuguese Monk from the 16th Century
  • On the Development of a Collaborative Knowledge Platform for Engineering Sciences
  • Modelling Expressions of Physical Quantities
  • Exploring User-Generated Content to Detect Community Problems: The Ontological Model of ALLEGRO
  • Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles
  • Semiotic Knowledge Models for Personal Knowledge Repositories
  • Towards Semi-Automatic Approach of Building an Ontology: A Case Study on Material Handling Data
  • Design a Recommendation System in Real Estate Investment Based on Context Approach
  • Event Detection in News Articles: A Hybrid Approach Combining Topic Modeling, Clustering, and Named Entity Recognition
  • UpKG: A Framework to Insert New Domains in Knowledge Graphs
  • Towards an Ontology of Task Dependence in Organizations
  • Addressing Entity Change in Procedural Ontologies
  • Ontology-Driven Extraction of Contextualized Information from Research Publications
  • JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain
  • A Knowledge Layer in Data-Centric Architectures in the Automotive Industry
  • Characterizing Complex Network Properties of Knowledge Graphs
  • Developing Digital Media Service Value Creation by Using Emotion Data
  • Knowledge Graphs Alignment Based on Learning to Rank Methods
  • Knowledge Graphs Extracted from Medical Appointment Transcriptions: Results Generating Triples Relying on LLMs
  • An Approach to Developing Ontology-Based Tools for Event Series Analysis
  • Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain
  • Navigating Responsible AI Adoption
  • Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
  • Discovering Potential Founders Based on Academic Background
  • Emotional Intelligence: Predictor of Success and Career Advancement - A Survey of Bulgarian Digital Entrepreneurs
  • Autonomy and Turnover: A Survey Applied to Distributed Software Teams
  • Knowledge Transfer Factors for Internal Combustion Engine (ICE) Industry to Electric Vehicle (EV) Industry by Artificial Intelligent: Machine Learning
  • Improving Corporate Governance Using DAO
  • Towards Digital Transformation: Knowledge Management as an Enabler in a Public Sector Asset Lifecycle
  • Knowledge Sharing Between Higher Educational Institutions: Evaluation of a Transfer Platform
  • Bottlenecks in Regional Innovation Ecosystem: A Case on Region with Extremely Low RDI Activity
  • Using Knowledge Maps to Create a Business School Faculty Portrait
  • Challenges to Implementing Effective Data Governance: A Literature Review
  • Graph Analytics for Avian Science Data
  • Adaptive Granulation: Data Reduction at the Database Level
  • Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations
  • Remote Monitoring of Heart Failure Patients Treatment Programme: Customer Experience, Expectations, Barriers and Conditions
  • The Dark Side of Sharing Knowledge in the Social Media Era: Faculty Members’ Perspectives
  • Acceptance of Digital Sales and Marketing Tools: A Customer Perspective on Intention to Use
  • Utility of Univariate Forecasting for Workload Metrics Predictions in Enterprise Applications
  • Digital Twins for Traffic Congestion in Smart Cities: A Novel Solution Using Data Mining Techniques
  • Benefits and Challenges of Robotic Process Automation
  • Explainable Intrusion Detection for Internet of Medical Things
  • Proposed Extensions to the Methodology of Technology Scouting
  • A Knowledge Graph Approach for Exploratory Search in Research Institutions
  • Digital Transformation of an OEM Development Process from a Socio-Technical Perspective: A Case Study
  • Business Intelligence, Business Analytics, and Intellectual Capital: An Opportunity for Innovation Potential in the Private Healthcare?
  • Survival Analysis as a Risk Stratification Tool for Threshold Exceedance Forecasting
  • Decoding the Language of Care: A Typology of Caregiver Utterances and Their Influence on Assistive Technology Use
  • Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators
  • Ontology Proposal for Support Team: A Case Study in a Software Development Company for the Financial Market
  • A Taxonomy for Autonomous LLM-Powered Multi-Agent Architectures
  • Towards Effective Ecosystems: A Framework for Mapping Knowledge Governance and Management Activities of Innovation Ecosystems Constituent Elements
  • ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles
  • Tag Recommendation System for Data Catalog Site of Japanese Government
  • Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets
  • MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing
  • MASD: Malicious Web Session Detection Using ML-Based Classifier
  • Robust Drone Detection and Classification from Radio Frequency Signals Using Convolutional Neural Networks
  • Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation
  • Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies
  • Exploring Segnet Architectures for iGPU Embedded Devices
  • Neural Network-Based Approach for Supervised Nonlinear Feature Selection
  • Testing Variants of LSTM Networks for a Production Forecasting Problem
  • Development of Kendo Motion Prediction System for VR Kendo Training System
  • Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification
  • Automatic Emoticons Insertion System Based on Acoustic Information of User Voice: 1st Report on Data Model for Emotion Estimation Using Machine Learning
  • The Opaque Nature of Intelligence and the Pursuit of Explainable AI
  • Unsupervised Representation Learning by Quasiconformal Extension
  • Molecule Builder: Environment for Testing Reinforcement Learning Agents
  • A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids
  • Compilation of Distributed Programs to Services Using Multiple Programming Languages
  • Impact of Item Polarity on the Scales of the User Experience Questionnaire (UEQ)
  • Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations
  • Enhancing SSR in Low-Thread Web Servers: A Comprehensive Approach for Progressive Server-Side Rendering with any Asynchronous API and Multiple Data Models
  • A Data Service Layer for Web Browser Extensions
  • Is this a Good Book? The Role of Intrinsic and Extrinsic Cues for Perceived Product Quality in Textbooks in e-Commerce
  • Java Binding for JSON-LD
  • A Proposed Ontology-Based Sociocultural Context Model
  • Implications of Edge Computing for Static Site Generation
  • The State of Disappearing Frameworks in 2023
  • Students’ Interests Related to Web and Mobile Technologies Study
  • Accessibility of e-Government Websites in Italy: The User Experience of People with Disabilities
  • Enhancing User Experience in e-Government: A Deep Dive into e-Government Forms and Citizen Perceptions
  • Enhancing Soft Web Intelligence with User-Defined Fuzzy Aggregators
  • Easy to Find: A Natural Language Query Processing System on Advertisements Using an Automatically Populated Database
  • Malicious Web Links Detection Using Ensemble Models
  • FaceCounter: Massive Attendance Taking in Educational Institutions Through Facial Recognition
  • Identifying Student Profiles in CSCL Systems for Programming Learning Using Quality in Use Analysis
  • Investigating the Use of the Thunkable End-User Framework to Develop Haptic-Based Assistive Aids in the Orientation of Blind People
  • Access Control Using Facial Recognition with Neural Networks for Restricted Zones
  • Reconstruction and Validation of the UX Factor Trust for the User Experience Questionnaire Plus (UEQ+)
  • Paperless Checklist for Process Validation and Production Readiness: An Industrial Use Case
  • There Are no Major Age Effects for UX Aspects of Voice User Interfaces Using the Kano Categorization
  • PhotoRestorer: Restoration of Old or Damaged Portraits with Deep Learning
  • User-Centered Design and Iterative Refinement: Promoting Student Learning with an Interactive Dashboard
  • Data Exfiltration by Hotjar Revisited
  • Quality Metrics for Reinforcement Learning for Edge Cloud and Internet-of-Things Systems
  • Improved Random Key Cuckoo Search Optimization Algorithm for Community Detection in Social Networks
  • Apache Spark Based Deep Learning for Social Transaction Analysis
  • On the Construction of Database Interfaces Based on Large Language Models
  • Enhancing Users’ Interactions in Mobile Augmented Reality Systems Through Fuzzy Logic-Based Modelling of Computer Skills
  • Comparing the Energy Consumption of WebAssembly and JavaScript in Mobile Browsers
  • Pragmatic versus Hedonic: Determining the Dominant Quality in User Experience for Professional and Leisure Collaboration Tools
  • Pleural Effusion Classification on Chest X-Ray Images with Contrastive Learning
  • A Stateless Bare PC Web Server
  • A User Interface for Tuning QoS Parameters in Recommendation-Based Business Process Scenario Adaptation
  • SPORENLP: A Spatial Recommender System for Scientific Literature
  • Supporting the Automated Generation of Acceptance Tests of Process-Aware Information Systems
  • Tourpedia App: A Web Application for Tourists and Accommodation Owners
  • A Novel Hybrid Approach Combining Beam Search and DeepWalk for Community Detection in Social Networks
  • Examining the Feasibility of Incorporating Social Media Platforms into Professional Training Programs
  • The Impact of IOT Cybersecurity Testing in the Perspective of Industry 5.0
  • Semantic Micro-Front-End Approach to Enterprise Knowledge Graph Applications Development
  • Impacts of Social Factors in Wage Definitions
  • Experimental Analysis of Pipelining Community Detection and Recommender Systems
  • Ontology-Driven Intelligent Group Pairing in Project-Based Collaborative Learning
  • Intelligent Agents with Graph Mining for Link Prediction over Neo4j
  • Documents as Intelligent Agents: An Approach to Optimize Document Representations in Semantic Search
  • Towards a Framework for AI-Assisted Data Storytelling
  • Similarity Learning for Person Re-Identification Using Deep Auto-Encoder
  • Decentralized Identification and Information Exchange in Distributed, Blockchain-Based Internet Architectures: A Technology Review
  • Quantifying Fairness Disparities in Graph-Based Neural Network Recommender Systems for Protected Groups
  • A Decentralized Authentication Model for Internet of Vehicles Using SSI
  • GANMCMCRO: A Generative Adversarial Network Markov Chain Monte Carlo Random Oversampling Algorithm for Imbalance Datasets
  • Detecting the Manipulation of Text Structure in Text Steganography Using Machine Learning
  • An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
  • Cache Side-Channel Attacks Against Black-Box Image Processing Software
  • Adapting Open-Set Recognition Method to Various Time-Series Data
  • Observation as a Tool for Gait Assessment: Eye, Camera, Vision and Viewing
  • Differences and Relations Between Chrono-Biological and Motor-Functional Characteristics of Infants
  • Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models
  • A One-Vs-One Approach to Improve Tangled Program Graph Performance on Classification Tasks
  • Decentralized Federated Learning Architecture for Networked Microgrids
  • 2D LiDAR-Based Human Pose Tracking for a Mobile Robot
  • Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit
  • Analysis of the Reaction Time and Dominance in Elderly Men: A Pilot Study
  • DAF: Data Acquisition Framework to Support Information Extraction from Scientific Publications
  • BioSTransformers for Biomedical Ontologies Alignment
  • CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding
  • New Perspectives on Data Exfiltration Detection for Advanced Persistent Threats Based on Ensemble Deep Learning Tree
  • DOM-Based Clustering Approach for Web Page Segmentation: A Comparative Study
  • Automatic Mapping of Business Web Applications
  • Enhancing Industrial Productivity Through AI-Driven Systematic Literature Reviews
  • BSODCS: Bee Swarm Optimization for Detecting Community Structure
  • Towards True Explainable Artificial Intelligence for Real World Applications
  • Deep Learning for Active Robotic Perception
  • Data Digitalization and Conformity Verification in Oil and Gas Industry Databooks Using Semantic Model Based on Ontology
  • Knowledge Economy in the Anthropocene: A Blueprint for Urban Cities
  • Maximizing Particle Coverage with Fixed-Area Rectangles
  • Recognition and Position Estimation of Pears in Complex Orchards Using Stereo Camera and Deep Learning Algorithm
  • Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization
  • Learning Based Interpretable End-to-End Control Using Camera Images
  • A Methodology for Knowledge Integration and Acquisition in Model-Based Systems Engineering
  • Hanging Drone: An Approach to UAV Landing for Monitoring