- Design of a Fuzzy Logic-Based Inverter Overcurrent Protection System for Electric Vehicles
- Optimizing Smart Irrigation in Agriculture with a Fuzzy Logic and Genetic Algorithm Hybrid Model for Water Resource Management
- Enhancing Cooling Uniformity in BTMS: Numerical Evaluation of Gradient-Width Mini-Channel Designs for Prismatic Batteries
- Multimodal CNN-GRU Approach for Job Interview Assessment: Integrating Facial Expressions and Speech Analysis
- The Leveraging Open World Games to Influence Tourism Engagement and Destination Image
- SyncFit: AI-powered Mobile eCommerce Application Utilising AR for Virtual Clothing Fitting
- Back-Biasing Strategy to Mitigate TID-Induced Threshold Voltage Shift in 22nm FDSOI Transistors
- Intelligent Recommendation of Adaptive Learning Platforms Based on Knowledge Graph in English Vocabulary Teaching
- Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations
- A New Wideband Dual-component Magnetic Probe for the Near-field Scanning Measurement
- SPECTRUM-AI: Intelligent Autism Detection System with Hybrid Ensemble Learning and Multi-Dimensional Risk Profiling
- A Semantic Compliance Tracking Framework for BIM Workflows Based on ISO 21597 and SHACL
- Synaptic Plasticity and Learning Behavior Emulated in CuI-ITO Transistors
- Game Theory for Distributed Task Scheduling in Mist Computing
- Analysis of Local Channel Profile Mismatch Reduction Methods in Geographically Segmented Localcasting Scenarios
- Mapping Peer to Peer Lending Risks and Technological Trends Through a Bibliometric Analysis
- 3D digital Bone Bank: development and validation of an automated allograft selection system using 3D imaging in orthopaedic oncology
- Efficient Brain Tumor Detection in MR Images Using Deep Feature-Extracted Machine Learning
- LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place Recognition
- The Hidden Threat: Analyzing Trust Manipulation Attacks in Trust Management Systems for Vehicular Networks
- Technical Indicator-Driven Deep Neural Networks for Stock Market Forecasting
- Application of machine learning to map Photovoltaic-Solid Oxide Fuel Cell (PV-SOFC) systems
- The Edge of Possibility: Exploring How Edge Computing Can Transform Computer Communication Landscapes
- Digital Stability Analysis and Evaluation of Earthen Architectural Sites for Preventive Protection
- Input Voltage Proportional Feedforward Control for Three-Phase Buck Rectifier Under Unbalanced Input Voltages and Wide AC Input Frequency
- A Dual-Direction SCR Featuring Shallow Snapback and High-Temperature Robustness for ESD Protection of Industrial Communication Buses
- Group Confident Policy Optimization
- Optimizing Thermal Efficiency: The Impact of Insulation and Lid Design on Heat Retention and Energy Conservation
- An AI-Enhanced IoT System for Soilless Agriculture: Environmental Monitoring and Market-Driven Decision Support Integration
- Automation of Cupcake Filling System for Small Scale Industries using PLC
- Leveraging Manufacturing Apps: A Modular Framework For Capturing & Packaging Manufacturing Process Logic
- A Unified Framework for Multi-Stage Decision Optimization with Deep Reinforcement Learning and Foundation Models
- Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach
- Comparative Performance of Deep Learning Algorithms in Tomato Disease Detection
- Towards Generalization Fairness in Federated Learning
- Synthetic Data Generation in Virtual Environments for Automated Shelf Auditing in Supermarkets
- Research on Virtual Power Plant Load Forecasting Based on RNN-LSTM Hybrid Model
- An Intelligent Hybrid Intrusion Detection and Prevention System for Threat Mitigation in High Bandwidth 5G/6G Network
- TrustCheck:Secured Banking Fraud Detection Using CatBoost and XGBoost
- Redcap-based Integrated Access and Backhaul Scheme in the Hybrid Network with MBSs and Aps
- Inference Routing over Multi-Hop Edge Networks
- Predicting NHL Performance from Cognitive-Motor Metrics After Concussion: An Explainable AI Approach
- User Satisfaction Factors of the QRIS Digital Payment Security System in Private and Government Banks
- An Improved Method for Inverter-Fed Motor Insulation Online Condition Monitoring by High-Frequency Leakage Current Analysis
- Energy-Efficient Routing Protocols for Directional Wireless Sensor Networks
- Precise Manipulation of Amorphous Wires for Wafer-Level Fabrication of GMI Sensors
- A Dual-Microcontroller IoT-Based Real-Time Monitoring System for Predictive Maintenance of Induction Motors
- Exploring Manifold Embedding Techniques for Enhanced Clustering Efficiency
- A 7.2–16 GHz 50%-LO Receiver with Enhanced Linearity and High Dynamic Range in 55-nm CMOS
- Unlocking Insights: The Role of Educational Data Mining in Modern Learning
- A Low-Voltage W-Band TWT Employing Dual-Sheet Beam and a CSRR-Based Slow Wave Structure
- Linear-Parameterization-Based Model Free Adaptive Predictive Control
- Parametric Wavelet Subband Analysis for Tumor-Specific Feature Localization and Classification in MRI Brain Images
- AI-Based Heart Disease Diagnosis and Risk Assessment
- Dynamic Mode Decomposition Based Multi-View Learning
- Multi-Parameter Flood Risk Assessment and Management Planning at High Spatial Resolution in the Region of Attica, Greece
- Heart Attack Criticality Stage Prediction: A Deep Learning-based Model for Enhanced Accuracy
- Driving Change in Complex Organizations: Insights from Leadership Practices
- Spatiotemporal Attention-Augmented Vehicle Interaction Modeling for HEV Energy Management with Maximum Entropy Reinforcement Learning
- Analysis of Coprolalia Latah Disorder Using Latah By Ezik Application on PGSD Students
- Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
- Cybersecurity for Hydrogen Integrated Power Systems: Vulnerability Identification and Impact Analysis with Attack Defense Strategy
- Towards Beyond Technology: Reviewing Human Error (HE) as the Primary Reason of Cyber Security Breaches
- A 40-Year Bibliometric and Science Mapping Review of Optimization in Energy Storage Technologies
- Generation of WAAM Defect Images Using a Hybrid CVAE-CGAN: A Data Augmentation Strategy for Small and Imbalanced Datasets
- An Improved Seamless Train Attitude Determination Method Based on the Double-loop Quaternion Enhancement
- Utilizing Data Analytics for Effective Customer Complaint Analysis in Telecommunications
- Enhancing Gateway Placement in Buoy Monitoring Systems: A Comparative Study of EPSO and Hybrid PSO-GA Optimization
- Ensemble Learning for Predictive Maintenance: A Comparative Analysis of Bagging, Boosting, and Stacking Strategies
- Hybrid Renewable Energy Microgrid Design Optimization of Karimunjawa Island Using Intelligent Algorithm
- Improving Shrimp Seed Counting Performance Using YOLOv5 and Super Resolution Method
- Adaptive Power Optimization and Renewable Integration in EV Systems
- Contrastive and Attention-Based Multimodal Fusion: Detecting Negative Memes Through Diverse Fusion Strategies
- Autonomous Self Balancing Two Wheeler using Deep Reinforcement Learning
- RIS Deployment: The Differences from NFC to FFC
- Ultrasonic Bioacoustics and Deep Learning for Early Plant Disease Prediction
- Serious Game Scoring for Maze Resolution
- Towards Reliable and Transparent Diabetes Diagnosis with an Explainable Ensemble Framework for Clinical Decision Support
- Mock Interview Platform for Interview Performance Analysis using Machine Learning
- Mobile Augmented Reality Application for Early Childhood Learning Technical Design and Functional Evaluation
- Automatic Translation of Indonesian Sign Language Based on Multimodal Technology Recognition
- LLM-based AI-Powered Offline Portable Transcriptor (OPT) : SURYA-TAC: A Tactical Speech-to-Speech Translation System
- Deepfake Detection Using AI And Machine Learning Algorithms
- Frequency-Selective Adversarial Attack in WSN Detected using Deep Learning Algorithms
- Automated Startup Analysis Using Large Language Models and API Integration
- MediAI: Intelligent AI System for Medicine Identification, Symptom Analysis Chatbot, and QR Code Tracking for Central Province, Sri Lanka
- Optimizing Energy Efficient Lighting Systems in Mosques Using Computational and Engineering Approaches
- Modeling Errors in Hazardous Gas Sensors: A Comparative Study of Machine Learning Approaches Using Environmental and Pollutant Variables
- Design and Manufacturing Rotor Disc for DSSR AFPM Motor using Hybrid Fiber Composite to Minimize Solid Loss whilst Maintaining Acceptable Rigidity
- Application of Bayesian Optimization GRU in Dynamic Modeling of Cement Rotary Kiln Firing Process
- Corrosion Monitoring Technology for Bellows in Petrochemical Pipelines
- A signature-based model for learning lung cancer stage from multiplex immunofluorescence image data with spatial summary functions
- Back and Forward Incremental Learning Through Knowledge Distillation for Object Detection Unmanned Aerial Vehicles
- An Embedded AI System for Pet Activity Recognition and Nutrition Management
- Optical Convolution Processing Based on an Amplified Fiber-Optic Recirculating Loop
- Preparing for What's Next: Examining Cutting-Edge Solutions for Advanced Wireless Connectivity
- Digital Twin Integration for Proactive Industrial Decision Support: Enhancing Traccar-Based Monitoring Systems
- Automated Student Activity Recognition Using YOLOv11n
- Breast Cancer Prediction with High Accuracy using SVM: A Comparative Study of Machine Learning Model
- V2X-SIEM: A Lightweight Security Information and Event Management Architecture for Connected and Autonomous Vehicles