- A Federated Learning and Deep Learning-Based Intrusion Detection Mechanism for IoT Networks
- Research on High-Frequency Model Correction Methods for Large Transformers Considering Frequency Variation Characteristics
- An Intelligent Identification Method for Market Power in Bilateral Electricity Market Based on PSOSVM
- Design of Acceleration Feedforward PID Controller Based on BP Neural Network
- DLC-TiO 2 -Au Coated D-Shaped SPR Biosensor for Cancer Cell Detection
- Data-driven sliding mode control with modified prescribed performance for autonomous underwater vehicles under sensor faults*
- QoS-Driven IIoT Service Placement and Data Analytics for Smart Applications in Fog-Cloud Systems
- AI Bots and the Distortion of Online Social Opinions
- Particle Swarm Optimization-Based Microgrid Dispatch with Renewable Energy Integration
- Multidimensional Hesitant Fuzzy Transformer Networks: A Deep Learning Approach for Intelligent Medical Diagnosis
- Deep Lookup Network
- Cloud-Enabled AI Models for Predictive Analytics in Healthcare
- Maverick++: Collaboration-free Unlearning for Medical Privacy Preservation in Healthcare Federated Systems
- Modeling and Sliding Mode Control of a Heavy-lift Quadrotor with a Cable-suspended Payload under Wind Disturbances
- Revisiting the Effect of Grid-Following Converter on Frequency Dynamics - Part II: Spatial Difference
- Sustainable Leadership and Corporate Social Responsibility: Strategies for Balancing Profit and Purpose
- Diabetic Retinopathy Detection: A Survey of Cutting-Edge Methods and Comparative Analysis
- Variable Threshold-Oriented Event-Triggered Cluster Consensus for Groups of Multiagent Systems
- Ultrasonic Sensing Using Orthogonal Dual-Frequency Fiber Laser
- Improving IIoT-Cloud Security with Lightweight Searchable Encryption and Forward Privacy Delegation
- Beyond Severity: Tactical Risk Scoring for Healthcare Vulnerabilities
- Resource Allocation and Beamforming Design for Active STAR-RIS-Assisted Wireless-Powered MEC
- Generative AI Empowered Covert Communications: Autonomy, Efficiency, and Suitability
- AI-Driven Intrusion Detection Systems: Enhancing Network Security with Machine Learning Algorithms
- Safety Performance Analysis and Improvement Design Research of Energy Storage Systems
- Smart Healthcare Data Privacy Enhancement Using PSK-ECC, STh-RNN, Pseudonymization, and Data Diddling
- A High-Density Modular DC-DC Converter Design with a Novel Planar Coupled Inductor
- Dynamic Response Analysis and Modal Identification of a Single-Link Underwater Long-Arm Manipulator
- LPCD: A Parallel Candidate Deployment Strategy in Stateful Serverless Computing with Low Latency
- Leveraging Embedded Accelerometers and Machine Learning for Real-Time Sheep Behavior Classification in Precision Farming
- Research on State of Charge Estimation for Battery Packs Based on Physics-Informed Neural Network
- Optimal String Sanitization Against Strategic Attackers
- Stable and Controllable High-Order Pulse Cluster VECSELs
- Numerical Simulation Study on Water-exit Motion of Unpowered Ascent Underwater Vehicles
- Image Compression Model for Power Grid Inspection Guided by Main Frequency Components
- Lyapunov-based Model Predictive Motion Planning and Adaptive Path Following Control for Docking of Autonomous Underwater Vehicles
- Carbon-Neutral Oriented Synergistic Scheduling of Source-Grid-Load-Storage Systems
- A Dynamic Carbon Emission Tracking Method for Regional Nodes Considering Resilience Modeling of Power Transmission Network
- Reinforcement Learning for Trust-Based Black Hole Attack Mitigation in IIoT Networks
- Adaptive Task Offloading Strategy in Smart Home Environments Leveraging Fog Computing and M/G/k/G/k+2 Queues
- Design and Equilibrium Analysis of Inter-Provincial Medium-and-Long-term Electricity Contract Transaction Mechanism with Consideration of Dynamic Pricing and Cross-Market Coordination
- A Hierarchical Near-Source Grouping Strategy for Elastic Stream Computing Systems
- Arc Erosion Behaviors of Pantograph of High-Speed Train During Its Rise and Fall Processes
- Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction
- Optimized Route Maintenance for Kruskal's Energy-Aware Chain-Based Data Aggregated Routing
- Research on the Application Technology of Hydraulic Jacks in the Salvage of Sunken Ships in Inner Lake
- Practical Application of the Energized Electrical Work Permit Process
- Voice Performance Analysis Based on CNN-Mamba
- Classification of Traffic Pattern and Estimation of Traffic Speed Using Recurrent Neural Network in Smart Cities
- GNSS Multipath Detection using Normalized Early Prompt Late Area Method in Correlation Domain
- Adaptive Fusion-Based Noise-Robust Plant Disease Detection Using Dual-Modality Deep Learning
- Eigenvalue-Based Hidden Convexity Algorithm for Radial Distribution Network Optimization with Non-convex Power Flow Equations
- FIR-Robot: A Federated Learning Approach to Information Retrieval in Robotic Edge Devices
- Privacy-Preserving Object Counting in Lightweight Intelligent Transportation System
- Safeguarded AI-Driven Semantic Communication: Design Principles, Architecture, and Challenges
- Sum-Rate Maximization of Multirate NOMA-Based WSNs
- Denoising Method for Transient Electric Energy Signals Based on Flexible Threshold Function
- MIMO Channel Shaping and Rate Maximization Using Beyond-Diagonal RIS
- Enhancing Substation Resilience: A Fuzzy Bayesian Network Approach to Natural Disaster Risk Assessment
- Perceiver S : A Multi- S cale Perceiver with Effective S egmentation for Long-Term Expressive Symbolic Music Generation
- Building Energy Consumption Prediction: CNN -GRU Based on Attention Mechanism
- Research on the Influence of Temperature Rise on Partial Discharge and Lifespan of Insulation of Medium Frequency Transformer
- Integrated Sensing and Communication (ISAC) Transceiver: Hardware Architectures, Enabling Technologies, and Emerging Trends
- A Novel High-Performance, High-Power Double-Sided Cooling SiC Power Module Based on Low-Temperature Pressureless Nano-Cu Sintering
- Induced Energy on Communication Cable
- What Does a Complex Correlation Coefficient Mean? [Lecture Notes]
- Developing a Gait-Based Stacked Ensemble Authentication Framework for Internet of Things
- UREP-Based Electromagnetic Transient Modeling Method for Large-Scale New Power Systems
- Enhanced Physics-Informed Neural Networks with Residual Architecture for Accurate Heat Conduction Predictions
- PFSUF: A Particle Filter Based Urban Radio Maps Localization Method for Sparse Users
- Impact of LED Current Waveforms on FSK-Based VLC Performance and Design of a Flyback Driver for Square-Wave Modulation
- Active Front Steering and Four-Wheel Torque Vectoring for Improved Driving and Braking Performance of Distributed Drive Electric Vehicles
- Cardiac Signal Intelligence: ECG Signals Classification Using Deep Learning
- CPMTech: A Technology-based Model for Construction Progress Monitoring
- An Underwater Target Classification Method based on Optimized Integral Dictionary
- Efficient Fault-Detection Architectures for Barrett Reduction and Multiplication in Classical and Post-Quantum Cryptographic Systems
- DAS-VSP Zigzag Noise Suppression by Feature Picking Principal Component Analysis
- Coordination Control of DC Grid-Forming PV Soruces
- An End-to-End Deep Learning Neural Network Framework for Proactive DDoS Attack Detection in Cloud Platforms
- SC-DRL: A Status Correction-empowered Deep Reinforcement Learning Algorithm for Dependency-aware Application Offloading
- QT-PAKE: Secure Messaging via Quantum-Safe Threshold PAKE
- Synthesis and Application of solvate ionic liquids-Based Quasi-Solid-State Electrolytes
- Privacy and Traffic Efficiency of CAVs under Dynamic Conditions in ITS
- Enhancing Ransomware Detection Accuracy Through Data-Driven Incremental Machine Learning Models for Predictive Analysis
- Laser Voltage Probing Attack Detection via Leakage Shift Monitoring Without Dedicated Sensors at 4.35% Area Overhead
- Intelligent and Sustainable System of Information for the Travel and Tourism Sector
- EC-LSTM for Non-Intrusive Load Monitoring: A Total Energy-Conserving Approach
- Simulation of Neural Network-Based Model Predictive Control for Bidirectional EV Charging in Grid-Connected PV-Battery Systems
- Cactus: A Multicore Spiking Neural Network Accelerator With Fine-Grained Structured Weight Sparsity
- Real-Time Personalized Car-Following Control with Online Parameter Adaptation for Intelligent Regenerative Braking Systems
- Research on Optimization of Gate Allocation for Flight Area Operation Safety and Efficiency
- Design and Simulation of an Automatic Phase Sequence Identification Algorithm for Pole-Mounted Switches Based on Signal Feature Analysis
- Streamlined Intrusion Detection: Faster, Accurate, and Complexity-Reduced System
- Joint UAVs Deployment and Resource Allocation for AoI-Aware RIS-Assisted UAV-USV MEC Network
- A Fully-Dynamic Capacitive Touch Sensor With Tri-level Energy Recycling and Compressive Sensing Technique
- Analysis of Transverse Compression Performance for 6-Slot twisted stacked-tape cable in conduit conductor
- Research on Precise Planning of Medium Voltage Feedline Level for Optimal Distribution Line Loss
- AI-Assisted Online Compensation of SRS Effects in OTDR Traces for Super C+L-Band Systems
- Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework
- Swin TransCNN: A Dual-Branch Hybrid Mode for weak fault feature identification of pitch bearings
