- Experimental Design of Bistable Meta-panel for Dynamic Investigation
- Generative Inverse Design of Metamaterials Enhanced by Physics-Informed Neural Network
- Analyzing the Construction of Prediction Models Based on LSTM Machine Learning
- Fuzzy Private Hash Matching for Harmful Media Moderation in End-to-End Encrypted Communication
- IoT-Enabled Heart Disease Risk Prediction Using Machine Learning Algorithms: A Comparative Analysis of ML Models
- Text Error Correction for Translation Robot Based on Transformer and Bi-GRU
- Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?
- DRL-Based Optimisation for Task Offloading in Space-Air-Ground Integrated Networks: A Reliability-Driven Approach
- Event-Triggered Distributed MPC for CPSs With Coupled Dynamics: A Coupling Separation and Compensation Technique
- Pilot-Aided Multi-Light Source Diffuse Reflection Visible Light Communication Scheme
- Lightweight and Effective Characterization, Screening, and Identification Process for Anomalous Road Traffic Attacks
- Improved Artificial Potential Field Method for Mobile Robot Path Planning
- Quantum Multi-Agent Deep Reinforcement Learning for Energy-Efficient Vehicular Networks
- Deep Learning Methods of Artificial Intelligence in Image Semantic Analysis
- A Novel Calibration of Precipitable Water Vapor from HY-2B Scanning Microwave Radiometer by Integrating GNSS and ERA5 Data for Offshore Areas
- Generalized open-loop Nash equilibria in linear-quadratic difference games with coupled-affine inequality constraints
- Cluster-MAE: Enhancement of Mask Autoencoder for Point Cloud Big Data
- Robust Federated Learning Against Model Perturbation in Edge Networks
- Optimal Beamforming and Power Control for D2D Networks with Arbitrary Device Locations via PSCANet and S-PSCANet
- LLM-Based Retrieval-Augmented Generation: A Novel Framework for Resource Optimization in 6G and Beyond Wireless Networks
- Interpretable Sleep Staging Using a Portable EEG-PPG Forehead Patch with SHAP-Guided Clustering
- Optical-carried Microwave Scanning Interferometry Ranging Method Based on Real-time Amplitude Spectrum Detection
- PHY/MAC Cross-Layer Design using NOMA for Next Generation C-V2X
- Federated Variational Autoencoder and Transformers for Temporal Data Augmentation and Interference Detection in Heterogeneous 5G Networks
- Toward Non-Expert Customized Congestion Control
- WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing
- Bernoulli Track-Before-Detect Filter with Pulse-to-Pulse Correlated Amplitude Model for Maritime Swerling I Targets
- Network Load Reduction Using Variational Auto-Encoder for Connected and Automated Vehicles
- Supporting Healthcare Professionals with Machine Learning for Early Detection of Breast Cancer
- Adaptive UDP-Based Image Transmission for Industrial Vision in Dynamic Deployment Scenarios
- Clustering-Based Pilot Overhead Reduction for Channel Estimation in Dynamic Wireless MIMO Systems
- When Honest Nodes in PBFT Consensus Meet Software Aging: SMP-Based Performability Evaluation
- Graph-Based Dual-Agent Deep Reinforcement Learning for Dynamic Human–Machine Hybrid Reconfiguration Manufacturing Scheduling
- REDFL: Robust and Efficient Decentralized Federated Learning Based on Committee Consensus
- M 4 SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition
- 3D printed THz Aplanatic Metalens for Achromatic focusing with High-Resolution
- Ferrite Core Optimization of Spiral Planar DD Coil for Efficient Wireless Power Transfer Applications
- A Distributed and Collaborative NTRU-Based Cryptographic Scheme for Edge-IoT Architecture
- Multi-objective Analog and RF circuit sizing using a hybrid Cuckoo search optimization algorithm
- Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions
- Evidence-Based Data Fusion for Robust Autonomous Vehicle Perception
- Distributed Attack-Resilient Platooning Against False Data Injection
- Accuracy-Latency Tradeoff in Approximate and Delayed Computing as a Game in Satisfaction Form
- Geometrically Constrained Position Estimation through Low-level Tracking
- On the use of reconfigurable metasurfaces in compressive sensing applied to atmospheric trace gas recognition
- Daen: a Dual-Adversarial Medical Image Encryption Network for Secure Healthcare
- MTF-hERG: a Multi-type Features Fusion-based Framework for Predicting hERG Cardiotoxicity of Compounds
- Time-Segmented Overlap-Free Block Filtering with Application to Chromatic Dispersion Compensation
- Integration Gain Maximization in ISAC Systems Through Adaptive Unified Resource Allocation
- A Novel EEG-based Hypergraph Convolution Network for depression detection: Incorporating Unified Brain Network and Multi-segment spatiotemporal EEG features
- Celestial Equilibrium Theory-Based Optimal Deployment of SRv6 for Traffic Engineering
- On-Current Degradation in Ultra-Scaled Nanosheet FETs with S/D Underlap Doping
- Performance-Complexity Tradeoff for ISAC Transceiver Design: A Deep Unfolding Method
- Research on the Application of YOLO8 Model in Driver Fatigue Monitoring
- Evolution and Control Systems Design: The Evolutionary Game [25 Years Ago]
- ResLearn: Transformer-Based Residual Learning for Metaverse Network Traffic Prediction
- Resource Allocation for Low-Power loT with Imperfect CSI
- Near-Field Beam Prediction Using Far-Field Codebooks in Ultra-Massive MIMO Systems
- Guided by Noise: Vulnerable Poisoning Attack to Differentially Private Federated Learning
- Early-Stage Conflict Resolution Mechanism for HLF-Based Delay-Critical IoT Network
- Rydberg Atomic Quantum Receivers for the Multi-User MIMO Uplink
- Orthogonal Delay-Doppler Division Multiplexing (ODDM) Modulation Over Highly-Spread Channels
- Compact Hexagonal CPW Stair-case Ground Microstrip Patch Antenna for Wideband Wireless Applications
- Safety-Critical Path Planning for Obstacle Avoidance Based on Reinforcement Learning and Control Barrier Functions
- Low-Latency Real-Time Audio-Driven Talking Head Generation Based on Future Speech Feature Prediction
- Making Audio Data Unlearnable
- Joint System Latency and Data Freshness Optimization for Cache-Enabled Mobile Crowdsensing Networks
- FedMKD: Personalized Federated Learning with Memory Knowledge Distillation
- A Radiated-EMI-Reduced Touch AFE IC With Pipelined Dual-Frequency Modulation and Sine 2 Waveform Shaping for Automotive Applications
- Electromagnetic Scattering Fields of Underwater Regular-Shaped Metal Targets Using Method of Moments
- A New Post-Quantum Signature Based on Punctured QC-LDPC Code with Random Insertion
- Research on Understanding and Improving Deep Hashing Retrieval under Incremental Data
- GPR-Based Based Blockage Prediction and Optimal Path Selection in IRS and Relay-Assisted V2X Communication
- Almost Maiorana-McFarland bent functions
- Photonic Multilayer Based Transparent Windows With Enhanced Solar Heat Blocking
- High Time-Resolution Transient Current-Based Characterization System for Traps in SiC MOSFET
- An Embedded Stub-Loaded Resonator in Dielectric Cavity for Compact Bandpass Filter Designs
- Efficient Design of Metasurface with Independent Amplitude and Phase Modulation via Microwave Network Theory
- Design of Network Stack for Embedded Micro Kernel Operating System
- Efficient Instruction Vulnerability Prediction with Heterogeneous SDC Propagation Knowledge Graph
- Deep Reinforcement Learning-Based Video-Haptic Radio Resource Slicing in Tactile Internet
- DoA Estimation Using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar
- A novel generalized low-order harmonic current suppression method for multi-phase open-end winding motors
- Perceptual Model for Foveated Rendering With Illuminance Demodulation
- Vector Field Augmented Reinforcement Learning for Adaptive Motion Planning of Mobile Robots
- Joint Resource Allocation and Trajectory Optimization for Multi-UAV Assisted Semantic Communication Systems
- The effect of disorder on optimal quantum state transfer in nearest-neighbor-coupled chains
- Aggregated Zero-Knowledge Proofs Toward Distributed Proof-of-Deep-Learning
- Grid-Supporting Renewable Energy Systems with Power Electronics Interfaces
- Infrared Image Super-Resolution: A Systematic Review and Future Trends
- Semantic-Aware Spectrum Efficiency for 6G V2x URLLC with Multi-Agent Hierarchical DRL
- Learning Body Language and Facial Expressions as Better Features in Semi-supervised Important People Detection
- Performance Evaluation of GaussVLAD for Efficient Image Retrieval in E-Health Applications
- Graph Convolutional Network for Point Cloud Understanding Through Homogeneity Partitioning
- Optimizing Transmission Power and Computational Resource Allocation for Multi-User Task Offloading in MEC to Enhance QoE
- Data-Driven ILC Based on RBFNN for Contour Control of Nonlinear Time-Varying Systems
- Joint Power and Spectrum Orchestration for D2D Semantic Communication Underlying Energy-Efficient Cellular Networks
- Secrecy Outage Probability of Secure Transmission with Artificial Noise in Low Earth Orbit Satellite Networks
- Metamaterial that learns shape changes by using contrastive learning – METAMATERIALS 2025
- Distributed Robustness-and-Safety-Critical Formation Control of Unmanned Aerial Vehicles