- A Real-Time Deployable Attention-Driven CNN–LSTM Framework for Human Activity Recognition using Wearable Sensor
- Task-Specific Trust Prediction with GNN for Minimized Risk of Task Completion in Dynamic Collaborative Systems
- Calculation of Performance Indicators in Hybrid Excitation Synchronous Machine as well as Torque Ripple Minimization
- A Training-Free Method for Suppressing Radio Tomographic Imaging Artifacts in UWB Systems
- Weapon Target Assessment with Dynamic Hit Probabilities and Heterogeneous Targets: A 2-Stage Model and Solving Algorithms
- An Explainable Learning Technique for Financial Professional Teaching Evaluation Process
- Innovative Detection of Human Motion Intention using a Hybrid EEGNET Framework
- Adaptability of identification algorithms while MWD application in various geological conditions
- A New Framework of Software Defined Enabled Networks with VGG-16 Net based BAT Technique for VANET
- Research on the optimization strategy of battery capacity in an islanded microgrid
- Immunity test and failure analysis of tunneling magnetoresistance current sensor
- Entity Recognition in Chinese Classics via Fine-tuned Large Language Models
- Neural Networks for High-Resolution Image Processing in Computer Vision
- Automated maritime movement analysis for special-interest targets
- Identifying Key Predictors of Students’ Competency Achievement Using Machine Learning Models: A Bioengineering Case Study
- Full-Space Active Folded Antenna for Versatile OAM Generation and Multi-Domain Communication
- Performance Analysis of RSMA-Assisted Integrated Navigation and Communication Satellite Network
- Development of Improved Apriori Algorithm for an Effective Teaching Evaluation of Finance Majors in Applied Universities
- Asyn2F : An Asynchronous Federated Learning Framework With Bidirectional Model Aggregation
- Descriptor: Geometric Breaks Dataset (GB)
- Prediction of Lateral Dynamic Characteristics of Shifting Belt Conveyor in Open-Pit Mines Using Long Short-Term Memory Network
- A Novel Deep Reinforcement Learning Approach for Microgrids Scheduling Considering Demand Response and Vehicle-to-Grid Systems
- Enhancing Student Knowledge Assessment through CNN and Attention Bidirectional GRU using a Comparative Analysis
- Security-Enhanced Network Slicing Towards 6G
- High-Density GaN-Based Laser Driver Power Supply
- Joint 3D Deployment and Power Allocation for VLC-enabled UAVs with High Energy Efficiency
- Secure Evidence Management Through TDAG-Based Digital Twin Architecture: A Smart Locker System for Tamper-Evident Chain of Custody
- Low Common-Mode Voltage FCS-MPC Algorithm for 3L-NPC Inverters Based on LaGrange Extreme Conditions
- Enhancing Temporal Coherence in Image-to-Video Facial Expression Synthesis: A Dual-Loss Framework for Smoother Generation
- Incipient Inter-Turn Short-Circuit Fault Estimation in 7-phase PMSM
- Multi-Objective Optimization of Steel Frame Structure based on BIM Technology and Simulated Annealing Algorithm
- Solid State Drive Key Performance Research Overview
- A Manchester-Encoded Isolation Communication System using PLL-Controlled Delay
- Spectrogram-Based CNN Framework for Live Deepfake Voice Detection in Google Meet
- Research on Domain Privilege Escalation Mechanism Based on sAMAccountName Spoofing
- Target Perception and Digital Reconstruction for Low Altitude Economy Based on Multi-radar Data Fusion
- Synergistic Strategy for Electric Vehicle Charging Infrastructure Planning and Energy Management Based on Multi-Objective Optimization
- Superpixel-Integrated Dual-Stage Mamba for Hyperspectral Image Classification
- Complex-valued Conditional Diffusion Model with Physical Scattering Information for SAR Image Target Recognition
- Research on Current Ringing in Dual Active Bridge Converters
- Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis
- UX-Driven Interfaces for Electric Motorcycles: A Comparative Design Approach
- A Hybrid Deep Learning Model for Evaluation System of Traditional Chinese Music Performance
- Information-based Decision Support System Driven by Artificial Intelligence
- Behavioral Traffic Monitoring and Analysis in Software-Defined Networks
- A Hybrid Machine Learning Framework for Accurate Prediction of Software Maintainability Metrics
- Quantum Coupled-Giant-Cavity Gyroscopes under Strict Braided Topology
- Machine Unlearning for Grid SearchCV
- Adaptive Neural Network Optimization for Fully Connected STAR-RIS-Aided NOMA Networks
- Design and Analysis of Power Consumption Models for Open-RAN Architectures
- A Cooperative ISAC Tracking System for Complex Trajectories
- SYCL for CPU+GPU Heterogeneous Computing: A Study on Integrated and Discrete GPUs
- Unified Approach to Detection of Induction Motor Faults from Vibration Signals using Hilbert Transform based Autoencoder Features and Hybrid Efficient Machine Learning Algorithms
- Federated Learning for Scalable Edge Caching in Dynamic D2D Communication Networks
- Multi-Agent Q-Learning via Best Choice Dynamics
- Portable NIR and HSI Technologies for Honey Authentication: A Non-Destructive Approach to Detect Food Fraud
- Integrated Cross-Layer Security for Reliable Service Provisioning with Guaranteed Robustness
- Blockchain Based GSP Auction Mechanism for Carbon Quota Allocation
- Edge-Cloud Collaborative Satellite Image Analysis for Efficient Man-Made Structure Recognition
- Traffic Prediction for Research and Education Networks using an Ensemble GRU-LSTM with Varying Lead Times
- Secrecy Communications for Wireless-Powered Cooperative NOMA Systems With Imperfect CSI: A Relay Selection and Friendly Jamming Approach
- Wireless Networks and Cloud: a New Era of Connectivity
- Design and Development of SSH Attack Detection Framework Using Reinforcement Learning Modules
- Adaptive Pufferfish Based Network Slicing and Scheduling Control in O-RAN for Next Generation Cellular Networks
- Multi-Source Risk Data Fusion Monitoring Algorithm for Hydrogen Equipment based on Deep Learning
- BMQA: Leveraging Large Language Models for Semantic Guidance in Temporal Knowledge Graph Q&A
- UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks
- Perception-Enhanced Multitask Multimodal Semantic Communication for UAV-Assisted Integrated Sensing and Communication System
- Algorithmic Research of Image Blur Detection
- Improving COVID-19 Prognosis Predictions with Ensemble Learning Techniques Applied to Patient Health Data
- Research on Harmonic Characteristics of Photovoltaic Power Grid Based on Multi-Scale Analysis
- Generative Semantic Communication for Joint Image Transmission and Segmentation
- A spiking coincidence detector for the ITD and ILD mechanisms of auditory localization
- Research on an Optimization and Dispatch Decision-Making Model for Electricity Market Operation Based on Big Data
- Optimising Microwave Darkroom Layout to Enhance Test Accuracy Using Reinforcement Learning
- An Integrated Blockchain-Based Framework for Enhancing Security and Transparency in Video Conferencing
- A Smart Rail Guard IoT Based Railway Track Obstacle Detection and Alert System Using Deep Learning Techniques and Computer Vision
- Machine Learning Techniques for Enhanced IOT Security
- 3DOF-PID Controllers based Five Level Inverter for Improving Power Quality of Hybrid AC Microgrid Associated by MIWA-SVPWM
- Temporal Data Analytics Through Reinforced LLM Architectures for Time-Series Pattern Discovery
- Position Optimization for Movable Antenna: A New Evolutionary Framework
- Fusion and DGCN for Optimizing Depression Detection in Social Media Texts
- A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency
- Research On Cable Fault Location Method Based on Improved Variational Modal Decomposition
- Efficient Data Download for LEO Satellite Networks Based on Inter-satellite Offloading
- Enhancing Rheumatoid Arthritis Detection using Bio-Inspired Feature Selection of GOA Model with DBN Classification
- Tenant-Led Ciphertext for Information Flow Control for Enhanced Data Security
- CTRL-B: Back-End-Of-Line Configuration Optimization using Cross-Domain Transferable Reinforcement Learning
- An Overview of the JPEG AI Learning-Based Image Coding Standard
- A Novel Positioning Framework: Two-Stage Weighted Projection with NLOS Bias Modeling
- Quantum Surrogate-Driven Image Classifier: a Gradient-Free Approach to Avoid Barren Plateaus
- Analysis of Asynchronous Chip Packaging Costs Based on IR Drop
- Enhancing Instance Feature Representation: A Foundation Model-Based Multi-Instance Approach for Neonatal Retinal Screening
- A Spatial-Spectral Difference Guided DDPM for Hyperspectral Image Change Detection
- Physical Layer Location Privacy in SIMO Communication Using Fake Path Injection
- Oil Leak Detection Method Based on Improved YOLOv7
- A Wideband Crossover Based on E-Plane Groove Gap Waveguide for Antenna Feed Networks
- Channel-Distortion-Agnostic Specific Emitter Identification Based on Decentralized Learning
- Reinforcement Learning-based Position Optimization for Movable Antenna-Enabled Relay Communications
- THz Beam Squint Mitigation via 3D Rotatable Antennas