- Deep Learning-based Approach for Accelerated Economic Dispatch in Hierarchical Distributed Power Systems with Internet of Things
- Guest Editorial: Generative Foundation Models for Communications: Part 2
- Zero-Power Backscatter RFID for Healthcare Sensing and Robust Communication
- Beyond RSRP: A Sensing-Assisted Handover Framework in V2I Networks
- Genai Assistance for Deep Reinforcement Learning-Based VNF Placement and SFC Provisioning in 5G Cores
- 28 GHz Indoor Channel Measurements and Characteristics Analysis for Multi-Scenarios
- The Research on Demand-Based Regulation of Mine Airflow Based on Niche Genetic Algorithm
- Near-Wall Pressure Power Spectral Density Content in High-Speed Internal Flows
- Simultaneous Single- and Two-Mode Squeezing in Time-Varying Media
- A Multimodal Decision-Fusion Network Approach for Activity Recognition in Firefighter Self-Contained Breathing Apparatus Endurance Training
- A Wireless and Machine Learning-Based Electrochemical Biosensor Potentiostat System for CD63 Protein Detection in Lung Cancer Biomarkers
- Federated Learning with LSTM Based Active User Detection for CF-mMIMO Network for 6G Communication System
- Hardware Partitioning for Vision Analytics-based Systems: Performance and Trade-offs
- A Low-Power Smart Millimeter-Wave Beamforming System for Base Station Application Based on Programmable Metasurfaces
- A DRL-Based Design for IRS-assisted NOMA Networks
- SignDefence: Byzantine-Robust Federated Learning with Sign Direction and Leaky ReLU
- Fairness-Aware Streaming Feature Selection With Causal Graphs
- Dangerous Duet: Encountering Composite Cascading Failures in Cyber-Physical Systems
- GenFi: Enhancing WiFi-Based Human Activity Recognition to Unseen Scenario Via Feature Disentanglement and Meta-Learning
- Optimal Resource Allocation Towards Energy Efficiency in RSMA-URLLC IIoT Networks
- Online Trajectory and Resource Optimization for UAV-Enabled Wideband ISAC Service
- A Prototype Filter Design Method for Filter Bank Multi-Carrier Spread Spectrum System in High Frequency Communication
- On the Detection of Alzheimer’s Disease and Mild Cognitive Impairment using Priority Feature Selection based Decision Tree Classifier
- A Reinforcement Learning Approach for Reconfigurable Intelligent Surface (RIS)-Assisted Multi-User Wireless Networks: Experimental Testbed Validation
- Modeling Virtual Reality Traffic with Head Movement in Remote Rendering
- High Frequencies, Higher Potential: Redefining Movable Antennas with Polarization
- A Vehicle Key Tracking System Based on NLOS Anchor Identification
- A Multifunctional Self-Rectifying Memristor Enabling LIF Neuron and Nociceptor Behaviors
- Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks
- Multi-View Semantic-Aware Communication: An Information Bottleneck Perspective
- Memory Efficient Audio Classification Using Binarized Neural Network
- AI-Driven Intelligent Attack Detection for IoT Networks Using Big Data and Machine Learning
- Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-Assisted Secure Satellite Communication Systems with RSMA
- Development of a Face Recognition System Based on a Convolutional Neural Network on a Humanoid Robot
- A Novel Feature of 6G: Asymmetric Uplink/Downlink Channels in the Terahertz Near Field - Modeling and Characterization
- Radar-Driven Occupancy Grid Maps for Robust Perception in Adverse Fog Conditions
- Acousto-electromagnetic media: Homogenization and constraints
- Ambient Backscattering Communication for IoT: Challenges and Future Perspectives
- Adaptive Backstepping Control for Nonlinear Vehicles With Guaranteed String Stability and Suppressed Cascade Fluctuations
- Privacy-Preserving Socio-Aware Short-Term Residential Load Forecasting
- Neural Network-Based Conductivity Imaging Using Time-Domain Reflectometry
- Channel-Adaptive Semantic Satellite Communication for Remote Sensing Images
- The Impact of Security Mindset on the Use of AI Assistants in Computing Education
- An Efficient Epidemic Routing Protocol with Reinforcement Learning Algorithm in Opportunistic Networks
- A Knowledge-Driven Meta-Learning Method for Ultra-Fast Path Planning in Lightweight UAVs
- Discrete Spectrum Analysis of Vector OFDM Signals
- Dual-Working-Modes-Based Wide Voltage-Gain Range DC–DC Converter With Low Input Current Ripple for Fuel Cell Vehicles
- ConSeaNet: A Dynamic SAR Ship Detection Model via Unsupervised Contrastive Learning of Representative Features
- Lightweight OFDM-AMR: Representing Continuous Signal with Attention Enhanced LTC Network
- A Graph Clustering-Based Resource Reservation Solution for Low-Latency Networks in Massive MIMO Systems
- Opportunistic User Scheduling in RIS-Assisted Multiuser Systems with Phase Errors
- Low-AC-Loss Nb3Sn Validation Model Coil in Solid Nitrogen for a Fast-Switching-Field MRI Magnet Prototype
- Safe Guarding Social Network: An Exploration of Advance Cryptographic Algorithms for Ensuring Data Security and Integrity
- CLO5ER: a Composable Lightweight Observability for 5g RAN Environment Inside Near RT RIC
- Deep Diffusion Probabilistic Learning for Resource Allocation in Multi-Carrier NOMA Systems
- Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference
- On the Orchestration of SIM and UAV
- AnalogAI: A Generalized Accuracy Recovery Framework for DNNs under Analog Computing
- Coordination Control Strategy of MTDC Connected Offshore Wind Farms Based on Model Predictive Control
- Comparative Evaluation of Non-fiducial Techniques Toward User Authentication by Non-contact Electromagnetic Sensor on Chest Wall
- A Unified Beam Training Framework for Near-Field MIMO with Arbitrarily-Oriented Arrays
- Offline to Online Learning for Real-Time Bandwidth Estimation
- Channel-Aware Mode Switching Enhanced RDARS-Aided Downlink MmWave MIMO Systems
- Optimizing Contact-Based Decentralized Satellite Federated Learning
- Scalable Voltage Control for DC Microgrids: Robustness to Network Structural Variations
- Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
- Deep Q-Learning Based Rate-Profile Design for Polarization Adjusted Convolutional (PAC) Codes
- Simulation and Identification of a Seismic Bistable Device with Hysteresis
- Magical Ordering of Cards with the use of Computers
- Emotional Body Gesture Recognition Based on the Instantaneous Pressure-Sensing Array Garment
- Big Data Driven Machine Learning Models For Predictive Maintenance In Smart Industries
- Online Opacity Verification of Networked Discrete Event Systems Modeled With Labeled Petri Nets
- Analysis and Design of Optimal Power Transfer Mode in Domino Wireless Power Transfer Systems Utilizing Cross Coupling
- Global-Local Collaborative Graph Convolutional Network for Skeleton-Based Action Recognition
- Intelligent Resource Optimization for CPN-Enabled IoT by RIS-UAV-Aided NOMA-THz Communication
- mmWave Radar-based Unsupervised Gesture Recognition via Image-Aligned Heterogeneous Domain Transfer
- From Code to Play: Benchmarking Program Search for Games Using Large Language Models
- Robotic Gait Parameter Extraction with Multi-Scale Temporal Attention Enhancement Network
- Design of Low-Power Marine Recovery Beacon Based on Hydrokinetic Power Generation
- Single-channel wearable EEG using low-power Qvar sensor and machine learning for drowsiness detection
- Integer Division Algorithm for the Gaussian Filtering Module of FPGA Based Edge Detection
- Electro-Thermal Coupling Characteristics of GaN SBDs Under HPM Pulses: Effect of Dislocation Density and Deep Learning Predictive Model
- WatCOM: Unconscious Watermarking for Semantic Communication Intellectual Property Protection
- A Lightweight Consensus Mechanism for Large-Scale UAV Networking
- A Reliable Single-Event Burnout Hardening Method for p-GaN HEMTs: Utilizing Dual-Layer Buffer Structure
- Transformer-Enhanced Successive Interference Cancellation for Channel-Resilient NOMA Systems
- Low-Complexity Direct-Detection Polarimetric Receiver for Mode Vector Modulation
- Diffusion Model for Multiple Antenna Communication
- A Cascade Approach for APT Campaign Attribution in System Event Logs: Technique Hunting and Subgraph Matching
- A Novel MIMO FMCW Radar-Based Approach for Heart Rate Estimation Using Positional Feature Selection
- LLMCTS: Large Language Model Prior Guided MCTS for Autonomous Vehicle Decision-Making
- Tunable Topological Metasurface with Leaky-wave Features
- High-Resolution Battery-Less Miniaturized Power Grid Monitoring System Employing A Capacitive Sensing Current-Mode ΣΔ Modulator
- Q-Learning-Based Adaptive Backoff Window MAC Protocol Leveraging Historical Success Rates and Real-Time Feedback
- Variable-Length Feedback Codes via Deep Learning
- Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band
- Energy Efficiency in O-RAN Through Sleep Modes
- Federated Learning Over Wireless Networks: Optimizing Performance with NOMA and Power Allocation
- Fast Forward Prediction of Metasurface Transmission Spectra Using Deep Learning
- Efficient Network Reliability Evaluation with Guaranteed Error Bound Using Binary Decision Diagrams