- Design and Capability Analysis of a Generalized Electromagnetic Capture Device for Microsatellites
- Frequency-Awared Mamba for Few-Shot ECG Long-Sequence Classification
- Optimized Composite Heuristic Algorithm for the Satellite Range Scheduling Problem
- Design of Heat Exchangers with Cooling Fins in Fuel Cell-Powered Electric Aircraft: Genetic Optimization Approach with CFD Validation
- Post-Quantum Software Updates with Stateful Hash-Based Signatures and The Update Framework
- General Decay Projective Synchronization of Memristor-Based Fractional-Order Neural Network
- DE-NARX-Based Model Identification of the Cement Decomposition Furnace System
- SE-PillarNet: PillarNet with Squeeze and Excitation Block for 3D Object Detection
- A Dynamic Weighted Model Pool Stochastic Configuration Network for Predicting Key Variables in Wastewater Treatment
- Adaptive Clustering Framework for Time-Series Data Using Enhanced FastDTW
- Electromagnetic Design and Optimization of an Outer-Rotor Flux-Switching Permanent Magnet Motor
- Efficiency Improvement Through Dynamic Torque Modulation Motor Control in Electric Vehicle
- Research on Ultrasonic Damage Detection and Noise Reduction of Concrete Structures Based on CEEMDAN and SIGMOD Smoothing Threshold Methods
- Adaptive Attack-Resistant Protocol of Multi-Agent Systems for Consensus Tracking with Disturbance
- Energy Efficiency Analysis and Sensor Configuration in Energy Exchange Systems Using Feature Selection
- Aerodynamic Fusion Prediction of Similar Airfoils Based on Conditional Distribution Alignment
- Short-Term Electricity Load Forecasting based on GAF-CRLA Model
- Online Recycling of Used Mobile Phones with Resilience Capability: A Stochastic Programming Approach with Benders Decomposition*
- Wind Energy Resource Assessment Technology for Multi-Type Complex Terrains Based on CNN
- Low Pressure and High Temperature Partial Discharge Mitigation Using Electrets
- Linear Interpolation Methods Both for Node and Branch Connections Applied on Moving Reluctance Network Model
- Distributed Stochastic Extremum Seeking for Resource Allocation: A Lie Bracket Based Approach
- Twin-Based Cyber-Security Control for Swarm with Aggregation-Dispersion Ability
- A Physics-Informed Neural Network with Residual Structure for 2D Thermal Distribution Modeling and Prognostics of Cylindrical Lithium-ion Batteries
- Inductance Analysis of Surface-Mounted Permanent Magnet Synchronous Machines Using Mesh-Based Magnetic Equivalent Circuit (MEC)
- Single- versus Double-layer Spiral Inductor on High-Resistivity Trap-Rich Silicon Substrate
- Performance Scaling of Multi-Class Parallel Hybrid-Electric Regional Turboprop Airliner Concepts
- Compact Modeling of Trap Density Applicable for Different Observed Phenomena
- A Novel Method for SOC Estimation of Dynamic Reconfigurable Battery Networks
- Efficient Wi-Fi Sensing for IoT Forensics with Lossy Compression of CSI Data
- DOA Estimation of Wideband Acoustic Target Based on Group FNN
- Design of a Variable Stiffness Joint Actuator for Lower-Limb Exoskeleton Based on Shape Memory Alloys
- Research on Multi-Sensor Task Management Scheduling Under Normal and Fault Conditions
- The SFC Deployment Algorithm Based on Incremental Learning and Resource Awareness
- Three-Dimensional Image Reconstruction for the Crane Robot in Aluminum Electrolysis Production Process
- Research on High-Precision Monitoring Method of Multi-Layer Composite Structure Morphology
- Robust Optimal Sliding Mode Control with Specified Decay Rate for Uncertain System and Its Application to AUV
- Data-Driven Optimal Preview Repetitive Tracking Control for Linear Discrete-Time Systems
- AUV Swarm Confrontation Search Method Based on the MADDPG Algorithm
- Particle Swarm Optimization for Self-Organizing Obstacle Avoidance of UAV Swarms
- Identification and Prediction of Aerodynamic Parameters of High-Speed Vehicles
- Research on the Vulnerability and Resilience of Supply Chain Based on Complex Networks
- A Grouping and Aggregation Optimization Framework for Federated Learning with Incentive Mechanisms and Stability Assurance
- Control Strategy for Multi-Power Module of PV Power Supply System Based on Fixed-Time Consistency Algorithm
- Frequency Domain Matters: An Unsupervised Residual Information Injection Network for Pansharpening
- Bearing Fault Classification Using Multi-Scale Dilated Convolution and Temporal Convolutional Networks
- Soft Measurement Method for Chemical Process Components Based on Parallel Learning Network of CNN and GRU
- Distributed Cooperative UAV Leader-Follower Strategies in GNSS-Denied Environments
- A Balanced Multi-Task Learning Method for Efficient Task Optimization*
- Designing cantilever-based resonator arrays in PiezoMUMPs technology for in-sensor ultrasonic frequency decomposition of acoustic emissions
- Speed Observation for a Class of Port-Hamiltonian Systems
- Bi-Level Energy Management and Design Optimization for Hybrid Marine Power System Applications
- A Decentralized Federated Learning Framework for On-Device Image Classification in Consumer Electronics
- High-Order Control Barrier Function Based Tracking Control for USV With Unknown Time-Varying Disturbances and Input Saturation
- A Quantum-Behaved Multi-Objective Pelican Optimization Algorithm for Electric Vehicle Routing Problem with Time Window
- Quantized Control of Flexible High-Rise Building System with Time-Varying Output Constraints
- Dynamic Event-Triggered Torque Control for Variable-Speed Wind Turbines with Unknown External Disturbances
- An All-in-One Antenna Design with Integrated Wireless Communication and Charging Functions
- YOLO-MOD: A Lightweight Model Designed for Maritime Object Detection
- Control Barrier Function Based Double-Layer Safety Tracking Control for Robotic Systems
- Qualitative Process Knowledge-Assisted Deep Reinforcement Learning Approach for Industrial Process Control
- Multi-Layered Resource Allocation in IoV Networks Using VEC Paradigms
- HRD-Net: A Hybrid Residual Denoising Network for Anomaly Detection and Localization Based on Knowledge Distillation
- Differentially Private Distributed Online Optimization via Signs of Relative States
- ANN-Based Fault-Tolerant Control of Open-End Winding Induction Motors for Electric Vehicles
- Fuzzy Adaptive Chaos Genetic Algorithm for Target Assignment System
- Accurate Loop Closure Detection in Semantic SLAM with Projections of Object Models
- Position Cooperative Control of PMSM Based on Error Port Hamiltonian and Fractional Order Dynamic Surface SMC
- An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators
- HLIR: Hierarchical Local Information Reinforcement-Based CT Super-Resolution Network
- Influence of Open Circuit Voltage Measurement on Battery Voltage Modeling
- Teardown Analysis and Fea Motor Model of Chevrolet Bolt Ev Drivetrain
- Optimized Operation Strategy of Community Integrated Energy System with Vehicle-Grid Interaction Under Extreme High Temperature
- Lightweight Trustworthy Distributed Clustering
- A ship target recognition algorithm based on deep learning
- A Simulation-based Genetic Algorithm for Multiple Waste Crane Scheduling System
- Fault-Tolerant Attitude Control of Hypersonic Vehicles via Incremental TSMC Approach
- Multi-Agent Multi-Target Search with Multi-Head Attention
- Predictive Maintenance and Health Estimation of E-Bikes Using Nearest Neighbor Classification
- Analysis of the Impact of Micro-Terrain Airflow Disturbance in High Mountain Watersheds on the Temperature Distribution of Ice-Covered Transmission Lines
- Fault Diagnosis of Penicillin Fermentation Process Based on Multi-Channel Attention Convolutional Neural Network
- Lightweight Image Compression Model via Knowledge Distillation
- Adaptive Droop Control Based Cooperative Control Method for Energy Optimization of Hybrid HVDC Systems with Renewable Energy
- Modular Engineering of Industrial Digital Twins: The WLDT Approach
- Exponential Stabilization of Networked Control Systems with Packet Dropout via Frozen Technique
- Sampled-Data Leader-Following Consensus for a Class of Nonlinear Multi-Agent Systems with Sparse Sampling
- Multi-Agent Deep Reinforcement Learning for Dynamic Network Reconfiguration in Active Distribution Networks
- Impact of Temperature on Dielectric Behavior of Oilimpregnated Insulation Pressboard
- Stochastic Optimal Control Problem of Maximum Energy Capture for Wind Turbines Based on Dynamic Programming Principe
- Cluster-Based Volt/Var Optimization on a Utility Distribution Feeder with Forecasted EV Penetration
- Research on Facial Expression Recognition Based on GhostNet and Feature Reorganization
- Asymmetric Energy Storage Integrated Modular Multilevel Converter for Unbalance and Power Factor Compensation of Advanced TPSS
- Privacy Preserved Control for Multiarea Power Systems Using Secret Sharing
- Modeling and Optimization of the Leaching Process of Waste Lithium Battery Electrode Materials
- Standardized Computational Complexity Evaluation for Battery State-of-Charge Estimation Algorithms
- Electric Vehicle Charging and Discharging Optimal Scheduling based on Stackelberg Game
- Event-Triggered Predictive Control for LPV System with Bounded Disturbance and Round-Robin Protocol Scheduling
- Obstacle Avoidance and Path Tracking for Mpc Autonomous Vehicle Based on Improved Apf
- Multi-Agent Reinforcement Learning for Operational Index Decision-Making of Multiple Unit Processes
- Multi-Paralleled GaN-Based Motor Drive Optimization for eVTOL Applications