- Approximating Quantified Information Leakage in Cyber-Physical Systems Through Their Digital Twins
- Heuristic Algorithm for event prediction in Embedded Systems
- A signature-based model for learning lung cancer stage from multiplex immunofluorescence image data with spatial summary functions
- A Novel CNN-SVM Framework for Stock Trend Prediction Leveraging Historical Market Data and News Sentiment
- AI-Induced Workload and Its Impact on Employee Health in Indonesia
- A New Kind of Brain-Like Cognitive Model and Algorithm for Maze Robots Considering Embodied Survival
- Cybersecurity for Hydrogen Integrated Power Systems: Vulnerability Identification and Impact Analysis with Attack Defense Strategy
- Comprehensive Benchmark: Comparing Classical, Recurrent, and Transformer-Based Models for Sentiment Analysis Across Text Length Strata
- Energy-Efficient Routing Protocols for Directional Wireless Sensor Networks
- Journalist Assistant: An Innovative Solution for Efficient News Reporting Generation
- ESG Criteria in the Deep Learning Era: Opportunities and Challenges
- Fall Detection Using LBFD-Net: A Novel CNN-Based Architecture
- A Quantitative Analysis of Consumer Decision Factors for Generation Z in E-Commerce
- A New Wideband Dual-component Magnetic Probe for the Near-field Scanning Measurement
- 3D digital Bone Bank: development and validation of an automated allograft selection system using 3D imaging in orthopaedic oncology
- Modern Quantum Computing: Languages, Simulators, Architectures and Future Directions
- Ethereum Smart Contract Security: "Deep Learning Approaches for Vulnerability Detection"
- Privacy-Preserving AI for Financial Fraud Detection: A Federated Learning Approach with Homomorphic Encryption
- Analyzing MORNeS Protocol for Secure Key Exchange with BAN Logic
- Generating Novel Protein Sequences with Self-Supervised Learning
- Evaluating The Effectiveness of Jobs Features in Making It Easier for Users to Get a Job with LinkedIn App
- AI-Driven Personalized Meal Recommendation System for Diabetes Management
- Topography-Driven UVC Detection: ZnO Nanoflowers on Etched Silicon Inverted Pyramids
- Distributed Secondary Control of Multibus DC Microgrids Through the Averaging of Virtual Voltage Drop
- Design of a Fuzzy Logic-Based Inverter Overcurrent Protection System for Electric Vehicles
- From Cramér-Rao To Barankin: Fundamental Trade-off in OFDM Integrated Sensing and Communication Systems
- Dynamic Automated Red Team Tool (DARTT): A Comprehensive Framework for System, Network and Data Security Auditing
- Lightweight Real-Time Segmentation for Agricultural Environments
- Grad-CAM++ Enhanced Hybrid CNN-Random Forest Model for Accurate and Transparent Brain Tumor Detection
- Secure Fingerprint Reconstruction-based Authentication System using WDBS-VSS and Geometric Mean Ronald Fisher Score Algorithm
- A Dual-Microcontroller IoT-Based Real-Time Monitoring System for Predictive Maintenance of Induction Motors
- Revolutionizing University IT Labs: A Docker-Based Approach for Next-Generation Learning Environments
- Hybrid Feature Fusion based model: Facial Expression Recognition in the Wild
- Deep Learning-Based Heritage Building Assessment with Spatial Context
- Enhancing Legal Document Understanding and Analysis Using Retriever-Augmented Generation (RAG)
- Evaluation on Interference Cancellation Enhancement Solution for UAV Communication
- A Two-Stage Ensemble Learning Framework for Short-Term Nonparametric Probabilistic Photovoltaic Power Forecasting Integrating Multi-Source Numerical Weather Predictions
- Serious Game Scoring for Maze Resolution
- Applicability of Approximate Inverse Model Explanations (AIME) to Medical Imaging and Acceleration Using GPU
- A Novel Low-resource Graph Convolutional Neural Network Approach for Entity Recognition
- Dynamic Scene Understanding from Dashcam Videos using YOLO Detection, Monocular Depth Estimation, and Attention-Based Autoencoders
- SYNCHRON AI: Multiple Assistant Ai Chatbot-Personalized Exam Prep Ecosystem
- Multimodal CNN-GRU Approach for Job Interview Assessment: Integrating Facial Expressions and Speech Analysis
- Do sociolinguistic factors influence program writing styles?
- Dual-Path LSTM and Cross-Attention Network for Richer Image Captioning
- The Impact of E-Chatbot Service Quality on Customer Satisfaction in Indonesian Banking
- Optimizing Dynamic Computing Environments Using Adaptive Intelligent Load Balancing
- Robust X-ray Image Classification using Vision Transformers: A Comparative Study with Convolutional Neural Networks
- A Contrastive Learning Approach to Paraphrase Identification*
- A 40-Year Bibliometric and Science Mapping Review of Optimization in Energy Storage Technologies
- Compositional Knowledge Graph for Clinical Decision Support in Pediatric Allergy Diagnostics
- A Hybrid KAN-LSTM Model for Day-Ahead Price Forecasting in the Indian short term power market
- Clustering Analysis of Local Earthquake in Toba Geopark based on K-means and K-Medoids Algorithm
- Reduction of Scrap Rate in Automotive Manufacturing by using Big Data
- AI-based Chatbot for Daily Activity and Healthy Life
- Anomaly Detection in Spacecraft Telemetry Using Vision Transformer and Caps-LSTM
- Leveraging QR Codes and Language Integration for Digital Tourism Promotion Systems
- Deepfake Detection Using AI And Machine Learning Algorithms
- Advancing Zebrafish Behavioral Analysis: A Synergistic YOLOv8-DeepSORT Framework for Precision Tracking
- DegraDiff-Transformer: A Degradation Trajectory Generation Framework to RUL Prediction under Variable Operating Conditions
- Optimizing AI-Driven Production in Industry 4.0: A Morphological Box and Taxonomy Approach
- Hybrid Electromagnetic Reconstruction of Multiple 2-D Subsurface Inhomogeneous Objects Based On FRTM And FEBI-LM Methods Enhanced By Domain Decomposition
- A Comparative Analysis of Machine Learning Models on Graph Embeddings for Disease-Protein Association
- Hybrid Machine Learning for Context-Aware Personalized Fraud Detection: Pre and Post Transactions Analysis
- Slot Allocation in Wireless Body Area Networks (WBANs) using Q-learning Approaches
- An Innovative Intelligent-Inspired Optimization Scheme for Energy-Efficient Cluster Routing in the Consumer Industrial Internet of Things
- Spatiotemporal Attention-Augmented Vehicle Interaction Modeling for HEV Energy Management with Maximum Entropy Reinforcement Learning
- Unlocking Insights: The Role of Educational Data Mining in Modern Learning
- A Comprehensive Review on Various Image Segmentation Methods with Applications
- Meta Learning of the Effective Cost Per Mille
- AI and Deep Learning-Powered Threat Intelligence and Automated Response Mechanisms
- Input Voltage Proportional Feedforward Control for Three-Phase Buck Rectifier Under Unbalanced Input Voltages and Wide AC Input Frequency
- Aspect-Based Sentiment Classification using Unsupervised Learning Approach for Malaysia Restaurant Review
- Deep Learning-Based Eye Disease Classification Using Convolutional Neural Networks
- DeePD-Net: A Deep Learning Approach for Diagnosing Parkinson’s Disease Using EEG Signals With IM-CEEMDAN Domain Entropy Features
- Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
- Contrastive and Attention-Based Multimodal Fusion: Detecting Negative Memes Through Diverse Fusion Strategies
- Synaptic Plasticity and Learning Behavior Emulated in CuI-ITO Transistors
- Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
- AccSPS Learning Rate: Accelerated Convergence through Decision-Adjusted Levels for Stochastic Polyak Stepsize
- Converging High-Performance Computing, Artificial Intelligence, and Intelligent Workflows for Next-Generation Innovation
- The Hidden Threat: Analyzing Trust Manipulation Attacks in Trust Management Systems for Vehicular Networks
- Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations
- Design of a Mechanically Powered IoT Accident Alert System with Dynamo Integration
- Robust Brain Tumor Classification using Augmented MRI Data and Deep CNNs
- Unified Robotic Automation and AI-Integrated IoMT Model Featuring Transformer Attention Layers, Attention-Driven Recurrent Neural Networks and Hybrid Neuro-Fuzzy Systems for Superior CKD Prediction Accuracy
- Enhanced Diabetes Diagnosis Using Ensemble Classifiers with Explainable AI and Oversampling for Imbalanced Data
- A Data-Driven Data Mining Framework Predicting CGPA and Identify At-Risk Students
- A Swarm Intelligence Approach for Effective Influence Maximization in Online Networks
- The Leveraging Open World Games to Influence Tourism Engagement and Destination Image
- Asymmetric Learning in Convex Games
- Gyroscope-Free UE Angular Velocity and Attitude Estimation With Channel State Information Variation
- Adaptive Channel Recalibration for Deep Learning-Driven Steganalysis
- Optimization and Performance Analysis of the SIREN Algorithm for Lossless Image Compression Across Various Medical Imaging Modalities
- Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting
- Performance Study on Closed-Loop Controlled Fiber Optic Current Sensor Based on Grating Light Valve
- Short - Circuit Current Limitation of 750kV Power Grid Based on Distributed Current Limiting Device
- Real-Time Monitoring of Multi Stack Open Cathode PEM Fuel Cell Using Canbus
- IoT-based Smart Energy Monitoring and Forecasting using Long Short-Term Memory and Cloud Integration
- Real-Time Monitoring and TDS Forecasting in Smart Hydroponic Melon Cultivation Using SES and LSTM Methods
