- Gravity Batteries for Integrating Renewable Energy into Power Grids
- A Review of Artificial Intelligence Models for Consumer Behaviour Pattern Identification
- Energy Consumption Optimization of UAV-Assisted Edge Computing Network via Tiny-MADDPG
- NStripeMerge: A Storage Performance Improvement Strategy for Distributed Erasure Coded Cluster
- Enhancing Communication-Efficient Federated Learning for Human Activity Recognition Through Knowledge Distillation
- Robust Phase Difference-Based Spectrum Sensing Under Impulsive Noise and Noise Uncertainty
- AI-Based Waste Classification System: A CNN Approach for Recognizing Organic, Inorganic, and Toxic Waste Categories
- Optimal Operation of a Smart Electrified Traction System: A Review
- Managing Hybrid Dynamics in Multiplex Service Networks: A Group-based Task Migration Approach
- Channel Charting-Based Vehicle Position Estimation in Real-World Coordinates of Lanes
- Problem Statement and Algorithm for Modeling Technological Processes and Engineering Systems Based on the Morphological Approach
- A Blockchain and Federated Learning Based Cooperative Spectrum Sensing Model for Cognitive Radio Networks
- Throughput Evaluation in Actual User Distribution for Adaptive C-Ran with Crowdsourced Radio Unit
- Reinforcement Learning for Rate Maximization in IRS-Aided OWC Networks
- Explainable Contrastive Learning Framework for EEG-Based Affective Computing in Privacy-Preserving Consumer Devices
- Vertebral compression Fracture Risk in Spinal Metastases Patients Following Stereotactic Body Radiotherapy Using Quantitative Imaging Data and Machine Learning
- Application of Conformal Mappings to Determine the Location of a Rail Break
- DAG- FGL: An Enhanced Approach for Accurate Workflow Task Execution Time Prediction with Complex Dependencies
- Single-Channel Time-Frequency Overlapping Signal Modulation Recognition Network Based on Multi-Domain Adaptive Feature Fusion
- Exploring the Direct and Indirect Environmental Impacts of Mobile Health - A Case Study on Continuous Glucose Monitoring
- A Hybrid Radiator Filtering Antenna with θ -shaped Patch and Annular Dense Dielectric Patch
- Multi-Task B-cos Networks for Near Real-Time Interpretable Person ReID
- The Simulation Model as a Digital Twin of the Enterprise
- DC Corrosive Challenges in Radial Multi-Terminal HVDC Systems: Understanding the Role of HVDC Electrodes Under Emergency Operations
- Assessing Cardiac Functionality by Means of Interpretable AI and Myocardial Strain
- Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
- Graph Clustering Based User Grouping for Multi-Cell Massive MIMO Communications
- Distributed Auction-Based Pilot Assignment for Scalable Cell-Free Massive MIMO Systems
- Spatial Bandwidth Analysis of XL-MIMO: Impact of Array Geometry
- An Energy-Efficient Reliable Distributed Routing Algorithm for 6G LEO Satellite Networks
- Greening the AI: Evaluating tokenization methods for Energy-efficient NLP
- Rational Power Consumption Management in Smart Automated Control Systems for Power Systems Modes
- Energy Efficient Community: A Two-Stage Market Optimization Framework Incorporating P2p Trading, Market Dynamics and Uncertainties
- Combined Fractional Derivative Approach for Very Short-Term Photovoltaic Power Forecasting
- Evaluation of the NMC/Si-Gr Battery Technology for Electric Vehicle Applications
- Event-based H ∞ Filtering for Networked Mass-Switching AMVs: An Augmented Lyapunov Functional Approach
- Sparsified Federated Learning With Spiking Neural Networks: Resistance Against Byzantine Attacks While Lowering Communication Traffics
- AirFRL: Topology-Aware Decentralized Federated Reinforcement Learning for UAV Networks
- Spectrum Sharing With Beamforming and Area-Aware Resource Management in Private 5G
- Fairness-Based Resource Allocation in Space-Air-Ground Integrated Internet-of-Remote-Things Systems
- Kriging Based Cartography – Dataset with Empirical Measurements of SQI
- Exploring Asymmetric Autoencoder Architectures for Computationally-Efficient Neural Image Compression
- Cultural Food Preference Prediction Using Machine Learning: The Case of Karedok Leunca in Sundanese Society
- Performance of Cell-Sweeping Using 256-QAM, 3D Antennas and SU-MIMO in 3GPP LTE
- Training Signal Design for Channel Estimation in Monostatic Multiantenna Backscatter Communication
- The Use of Software Tools in the Study of the Crime Rate Using the Non-Parametric Sign Criterion
- Modelling of Adaptive System of Hydraulic Drive of Working Movements of a High-Speed Drilling Semiautomatic Device
- The Integration of Fuzzy Logic Techniques and Semantic Networks for the Purpose of Addressing the Issue of Managing Patient Drug Treatments
- Enhancing Safe Driving: A Behavioral Monetizing-Based Approach Using Blockchains
- Electromagnetic Field Measurements with Dynamic Wireless Power Transfer for Charging Ev
- Providing Edge to Cloud Continuum With Adaptive Model Selection and Operational Score
- Efficient Multi-RIS Enabled Beam Routing in THz Systems for 6G Wireless Networks
- ODU: Open DSRC Unit Toward Effective Dissemination of V2X Applications
- Developing Early Autism Detection through Deep Learning and Data Analytics
- Group-Based Client Sampling in Multi-Model Federated Learning
- Synthetic data in AI-powered medical devices – the EU regulatory implications
- An Effcient Joint Beamforming and SIC Optimization Method for MIMO-NOMA
- Presentation Creation Using Cognitive and Visual Perception Patterns
- Deep Learning-Based Uplink Timing Advance Estimation in Multiuser LEO Satellite Systems
- Research on Intelligent Updating Method of Expert System Knowledge Base for Internet of Things
- Secrecy Performance of a Keyhole-Based Multi-User System With Multiple Eavesdroppers
- CKMImageNet: A Dataset for AI-Based Channel Knowledge Map Towards Environment-Aware Communication and Sensing
- Cascade Synthesis of Mixed Variable Observers for Tracking Systems with Linear Local Feedbacks
- Performance of DECT-2020 NR and FCC-Based Mesh IoT Systems in DECT Bands
- Assessment of Mitochondrial Network Remodeling and Colocalization with Lysosomes in Primary Astrocyte Cultures from 5xFAD Mice
- Prebond Test of TSV Based on Voltage Skew Amplification
- Secure Communication and Eavesdropper Localization via Channel Knowledge Map
- V2XFormer: Transformer-Based Anomaly Detection for Vehicle-to-Everything Communication
- Trading off Communication Cost and Optimization Performance in Decentralized Multi-Task Optimization
- Analysis of the Correlation between Cell Broadcasting Service(Cbs) and Floating Population in Wildfire Areas
- Experimental Analysis of a Phase Change Material-Based Portable Prototype for Personal Cooling
- Comparative Perspective of Visual Attention: From Human Focus to Visual Transformers. An In-Depth Review
- Movable Antenna Enhanced Downlink Multi-User Integrated Sensing and Communication System
- Microgrid EMS for a Waste Management Industry with EVs, PV, and BESS
- Preparation Datasets Based on Artificial Intelligence Models and Classification Algorithms
- Experimental Evaluation of In-Metal-Pipe Wireless LAN Communication with Different Frequencies
- Message Passing-Based Sparse Spatial Channel Estimation Robust to Partially Coherent Phase Noise
- Resource Allocation in Vehicular Networks based on Hybrid Proximal Policy Optimization
- StereoEEG Dynamics During Visual-Motor Interaction with a Robotic Hand
- Safer and Trustworthier Navigation of Automated Vehicles
- Design and Development of a Mobile Robot for Human Following Using ArUco Markers
- Autonomous Water Quality Monitoring: Integrating UWB Ad-Hoc Networks, Sensor Calibration, and Kubernetes Cloud Architecture
- Sharing Semantic Information Among Vehicles to Reduce Computation and Communication Energy Consumption
- Bundle Transmission Control in Multi-Source Delay/Disruption Tolerant Near-Earth Satellite Networks for Improved Delivery Ratio
- Latency Analysis of 5G C-V2X Real-Time Video Transmission Over Different Channel States
- Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms
- Large Language Models as Visualization Agents for Immersive Binary Reverse Engineering
- Strategic Offloading of Grant-Based Traffic to Grant-Free Resources: A DRL Based Approach for Optimizing Bandwidth in 5G-Advanced Networks
- Stress Biomarkers for Applied Tasks: Analysis of Voice and Cardiac Signals
- A Multi-Objective Optimization-Based Approach to Waveform Design in JCAS Systems
- Load Profile Generation for Robust Optimization: A Stochastic Approach Based on Conditional Probability Approximation
- Service Coverage Design for MEC-Enabled Cell-Free Massive MIMO Network
- Temperature Control at the Axle Boxes of Rolling Stock Using Thermal Imaging Technologies and Wireless Monitoring Systems
- VN-Based Tail-Biting Globally-Coupled LDPC Codes
- Low-Order Harmonic Generation by a Grid-Following PWM Inverter Under Unbalanced Conditions
- Enhancement of C-DRX Efficiency with Traffic Prediction Using Ensemble Learning Models
- Phase-Reconfigured Magnitude-Selective Affine Function-Based Digital Self-Interference Cancellation System
- RIS-Assisted Hybrid NOMA-OMA System with Imperfections in SIC and Phase Compensation
- Integrated Super-Resolution Sensing and Communication with Sparse MIMO for Symbiotic Radio
- Latency and Memory Constraints Aware Protocol to Optimize Data Throughput at a 5G-NR Base-Station Supporting Multi-SIM Phones