- ChannelGPT: A Large Model toward Real-World Channel Foundation Model for 6G Environment Intelligence Communication
- Time-Domain Off-Grid Sparse Bayesian Learning for High-Resolution Time-Delay Estimation
- Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
- A Genetic Algorithm and Game-Theoretic Model for DDoS Defense in IoT Networks
- Adaptive Task-Oriented Communication with Fairness Guarantees
- Optimized Resampling Techniques for Crop Recommendation Systems in Mizoram Agriculture
- Orthogonal Delay-Doppler Division Multiplexing with FMCW for ISAC
- Next-Gen AI-on-RAN: AI-Native, Interoperable, and GPU-Accelerated Testbed Towards 6G Open-RAN
- General Molecular Communication Model in Multi-Layered Spherical Channels
- Selective Anomalous Information Filtering for Enhancing Unsupervised Graph Anomaly Detection
- Deterministic Identification Codes for Fading Channels
- Multimodal Collaborative Perception for 6G V2X Power and Spectrum Management
- Adaptive Sampling and Joint Semantic-Channel Coding Under Dynamic Channel Environment
- A Hybrid ANN-P&O MPPT Strategy for Enhancing Solar Photovoltaic Output Under Partial Shading Conditions
- Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation
- PMSM Servomotor Performance Improvement with GaN based Inverter and Sinusoidal Filter
- Bandwidth Fair Share Using Reinforcement Learning for IoT Networks
- FULMINA: A Fast Multi-Armed Bandit Approach for Optimal SF Allocation in LoRa IoT Networks
- Metal ions (Zn, Mn and Ti) substituted in lithium ferrites as a dielectric material for capacitive wireless power transfer applications
- Coordinated UAV Trajectory Planning and Resource Allocation for Target Pursuit and Communication
- Nonlinear Dynamics of Capacitively Coupled Plasma Excited by Tailored Voltage Waveform
- Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Robotic Manipulator
- OnionGraph: A Graph Neural Network Framework for Tor-based Malware Traffic Detection and Classification
- Bidirectional Sensitive Feature Generation Network for Generalized Zero-Shot Fault Diagnosis Considering Single and Compound Faults
- Vibration-based Loose Component Detection in Automotive Application
- Quantum Adaptive Learning for Coverage Optimization in LEO Satellite Network
- Layer-Wise Hierarchical Feature Transfer for Object Detection
- Machine Learning-Based Early Detection of COVID-19 Through Real-Time Health Data Analysis
- AI-Based Estimation of Bandwidth Availability for Data Offloading in Edge-Cloud Computing
- Rate Maximization and Mode Selection for RDARS-Assisted Uplink MIMO Communications
- Stealthy Physical Backdoor Attacks Against Traffic Sign Recognition Systems
- Joint Task Offloading and User Scheduling in 5G MEC Under Jamming Attacks
- MAP Estimation-Based Device Activity Detection for Massive Grant-Free Access with Unknown Device Activity Probabilities
- Core-shell nanoresonator arrays to achieve epsilon-near-zero metamaterials
- Obstacle Recognition for Agricultural UAVs Based on Improved YOLOv8 and Sensor Data Collaboration
- An Adaptive Service Vehicle Selection Algorithm for Multihop Task Offloading in Vehicular Networks
- From the Gym to the Jungle: Exploring User Perceptions, Needs and Experiences of Immersive Virtual Green Exercise
- Scout: Tailored Collaborative Workload Forecasting for Multi-Tenant Edge Cloud Platforms
- RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing
- Agile’s Anatomy: How Agile’s Core Concepts and Contextual Factors Influence Benefits and Issues
- Compact Cooperative-mode Differential Circularly Polarized Dielectric Resonator Antenna
- Secrecy and Rate Optimization in Symbiotic Star-Ris-Aided D2d Communication
- Collaborative Multistatic Integrated Sensing and Communications-Part III: Autofocus via Image Rendezvous
- Facilitating Access Control Vulnerability Detection in Modern Java Web Applications with Accurate Permission Check Identification
- Urban Outdoor Propagation Measurements and Channel Models at 6.75 GHz FR1(C) and 16.95 GHz FR3 Upper Mid-Band Spectrum for 5G and 6G
- Power Consumption Minimization for UL PD-NOMA with Finite Blocklength Shell Codes
- A Back-to-Back Converter-based Electric Spring with an Improved Control Structure for Unbalanced Load Operations
- A Comprehensive Review for Predicting Arrhythmia
- Design and Analysis of Wideband MIMO THz Sensing Antenna Enabled by Machine Learning for Cognitive Radio: Toward 6G
- Multilayer Burger Electromagnetic Propagation Model and Its Lens Application
- Toward Minimal Number of Controls for Thermal Violation Mitigation for Very Large-Scale Grids
- Round Trip Time Estimation Utilizing Cyclic Shift of Uplink Reference Signal
- Blockchain and Digital Twin-Integrated Multi-Tier UAV Network for 6G
- AoI-Sensitive Collaborative Data Generation and Collection for Multi-UAV-Assisted IoT Networks
- Basic Characteristics of an Optimal Trajectory Controlled LLC Resonant DC-DC Converter at Continuous Current Mode
- ECG Signal Analysis using Whale Optimization Algorithm combined with Chaos Theory
- Concurrent, Scheduled, or Hybrid Transmission Protocol for ISAC
- A Convolution Bias-Incorporated Nonnegative Latent Factorization of Tensors Model for Accurate Representation Learning to Dynamic Directed Graphs
- Retinal Diseases Classification using Deep Learning
- Low-Complexity Multi-Slot Cross-Domain MAMP Receiver and Coding Principle for MIMO-OTFS
- Robot on the Move: Predictive Beamforming for Enhanced Estimation Accuracy in IIoT
- A 50-kHz BW, 84.6-dB SNDR Noise-Shaping SAR ADC With Capacitor-Mismatch-Error-Free Switching Scheme
- Towards Self-Explainable Information Cascade Popularity Prediction
- Non-cooperative Receiving Method for Long Code Spread Spectrum Signals of Linear Shift Register Sequence
- Radar-Enabled Integrated Sensing and Backscatter Communication Systems
- 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