- Predicting Caregiver Burden Using Motion Sensor Data and Machine Learning: A Supportive Approach for Persons with Cognitive Decline
- Enhancing Diabetic Retinopathy Diagnosis with Machine Learning: A Random Forest Approach Using Muscle Response Data
- LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms
- Application and Performance Evaluation of Deep Reinforcement Learning in Communication Signal Resource Allocation
- Improving Power Quality and Stability of EV Charging Systems with Grid and PV Solar Integration via Adaptive Bayesian Neural Networks
- An Optimal PWM Selection Strategy for Three-Level NPC Converter in a Wide Operating Range
- KNN (K-nearest neighbor) for G-LOC Prediction
- Creating Disaster-Resilient Green Cities by Improving Disaster Evacuation Rates
- On the Effect of Visual Stimulation in Tapping Test Through a Synchronized IMU-Based Measurement Procedure
- Improving Global Supply Chain Security and Transparency through Blockchain and IoT Integration with Deep LSTM and RNN
- Predicting Gestational Diabetes and PCOS Susceptibility: A Machine Learning-Based Cross-Framework Analysis
- Motion-aware VVC Inter prediction Enhancement
- Lightweight Face Anti-spoofing Network Based on Multi-modal Feature Fusion
- Comparative Stability of a Voltage-Source Inverter Using a Grid-Following/Grid-Forming Control Strategy for a PV Farm in a Hybrid Renewable-Energy System Fed to a Multimachine Power System Through an HVDC Link
- Integrating MILP and MCDM for Smart Warehouse Location Selection in Agricultural E-Commerce
- Advanced Abnormal Detection for Wind Power Equipment with AI and Convolutional LSTM
- Evaluations of semantic segmentation algorithms in railway scenarios
- Optimization of the single - layer time series prediction model for reference crop evapotranspiration
- A Novel Multilevel Triple Interline Bidirectional DC Power Flow Controller
- Optimization of Wind Load Model for Building Structure Design with Fuzzy Logic
- A StationXML-Based Platform for Seismic Station Metadata Management and Services
- A Clustering Routing Algorithm Based on PSO and Moss Growth Optimization in WSNs
- Three-Vector Model Predictive Thrust Control of Linear Flux Switching Permanent Magnet Motor with Load Force Observer
- Performance Comparison of PLL Techniques for Grid-Connected Inverters
- Assessing the Reliability and Validity of a Balance Mat for Measuring Postural Stability: A Combined Robot-Human Approach
- The Impact of Virtual Impedance on System Stability in Grid-Forming Converters with Cascaded Control Structure
- A Two-Dimensional Dead-Zone Virtual Oscillator Control for Single-Phase Inverters
- Demand-Driven Hierarchical Task Allocation in UAV Swarms: A Distributed ADMM Optimization Approach
- Optimizing Wind Power Generation Prediction using Attention-Based Bidirectional RNN in Renewable Energy Systems
- Benchmarking Probabilistic Modeling Methods for Protein Fitness Prediction and Uncertainty Quantification
- Transient Stability Analysis of the Grid Forming Inverters Based on Inverse Trajectory Method
- Machine Learning for Early Prediction of Cognitive Decline in Alzheimer's Disease
- Frequency-Domain Large Signal Modeling and Stability Analysis of Grid-Forming Converters: an Unified Approach Scalable for Large Scale Multi-Converter Systems
- FabricXF: A Lightweight Inter-block Conflict Detection and Parallel Validation Framework for Hyperledger Fabric Based on XORFilter
- Coordinated Planning of Hybrid Energy Storage System Based on Adaptive Decomposition Domain in Distribution Networks
- Secure Message Embedding With AES-GCM, LSB Steganography, and Quantum Key Distribution
- An Efficient Per-Flow Size Measurement Framework Based on Dynamic Fuzzy Clustering Learning
- DOC: Delay-Optimized Caching for Cold Start Mitigation in Vehicular Edge Serverless Computing
- Deep Edge-AI for Prosthetic Control: Feasibility of ISPU-Based Solutions for a Robotic Extra Limb
- Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
- Research on Coil Switching Strategy Based on the Multi-Transmitter WPT System
- Enhancing Brain Tumor Detection through Resnet50v2 Deep Learning Algorithm in Medical Imaging
- Enterprise Financial Risk Prediction based on Adaptive Genetic Algorithm and MLP
- Predicting Job Satisfaction and Employee Attrition in Cooperate Organizations based on Hybrid Neural Network CNN-BiGRU and AM
- PCI Planning Scheme Based on Genetic Algorithm
- Designing modular spectral data processing software based on design patterns
- Single-Phase L-Type Bridge Inverter With Parallel Active Power Filter
- Hybrid Convolutional Neural Network-Long Short Term Memory based Real-Time Physical Training Monitoring System using Browser/Server Architecture
- An Intelligent Control-Based Charging Strategy for Lithium-Ion Batteries
- Impact of Image Compression on Banana Trunk Detection with YOLOv5 for Mobile Robot Deployment in Banana Plantations
- Modeling and Analysis of Grid-Tied VSC with Hybrid Synchronization Control
- Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles
- Radar-Based Deep Learning for Gait Smoothness Estimation: A Feasibility Study
- Marker-Less Vision System for Wheelchair Tennis Contact Detection on Treadmill
- Network Learning Optimization Strategies Driven by Intelligent Algorithms
- Advanced Machine Learning Techniques for Explainable Detection of Knee Injuries in Runners
- Multi-Head Attention-based Residual Generative Adversarial Network
- Distribution Network Reconfiguration Considering Battery Lifetime and Demand-Side Response
- A Self-Discharge Fault Diagnosis Method for Electric Vehicle Batteries
- Novel p-Type Bulk-Inserted Bitline Pad Structure for Efficient Erase Operation in Vertical NAND Flash Memory
- Predictive study of T2D mellitus based on a multimodal fusion model: an example of electrocardiographic and clinical indicators
- Distributed Event-Triggered Voltage and Frequency Control for dVOC-Based Microgrids
- A Study of Reducing Analysis Time on Minimizing Detent Torque in Linear Motors Using Surrogate Model
- Intelligent Decision Support System Based on BIM in Power Grid Engineering
- Intelligent Fault Diagnosis and Resilient Control of Ship Lock Electrical Systems Based on Multi-Sensor Fusion and Digital Twins
- Machine Learning Approach for MRI Brain Tumor Detection using Regularized Extreme Learning
- An Empirical Study on the Accuracy of Automated Segmentation of Single Characters in Wuwei Hanjian Based on FastSAM
- Hybrid PSLLC Converter with Integrated Magnetics for Space Power Supply
- Non-Cooperative Positioning Technology Based on AOA Information Fusion
- Disturbance Identification in Low-Voltage Direct Current Systems Based on Wavelet Transform
- Evaluating Specialized CNN Architectures for Hip Implant Loosening Detection on Radiographic Images
- A Reconfigurable Modular Topology for Grid-Forming PV-ESS to Improve Overcurrent Capacity and Flexibility
- Comparison of Braking Characteristics of Electropermanent Magnetic Retarders by Finite Element Analysis
- Research on Image Denoising Algorithm Based on Gaussian Sampling and NLM
- Path Planning for Quadrotor's Collision Avoidance Using a Single Field Programmable Gate Array Platform
- Vision-Based Technique to Estimate the Roll Angle of Powered Two-Wheeled Vehicles
- The Feasibility Study of Incorporating OTDR Functionality in SFP56 Communication Optical Modules
- A Hybrid Renewable Energy System with Advanced Fuzzy Logic based Emperor Penguins Colony for MPPT Optimization
- Empowering Spiral Antennas with Metamaterials: A High-Efficiency Solution for C-Band Systems
- Influence of Novel Secondary Structure on the Performance of LP-DSLIM
- Stability-Guaranteed Harmonic Suppression Method for Inverters Under Weak Grid
- FGAugGCL: Molecular Contrastive Learning with Functional Group-Guided Augmentation
- Predicting Student English Academic Performance by using Data-Driven Multiple Regression Analysis
- Closed-Loop Control of a Novel Modular Multilevel DC-DC Converter for EV Charging Station
- Study on Real-time Leak Position Prediction based on Machine Learning in Phase-Chage Liquid-Cooled Data Center
- Construction and Empirical Research of Personalized Design System for Smart Home Furniture Based on Deep Learning Neural Network and Kansei Engineering Principles
- SentiNet: Semantic-Driven Intent Networking for SDN
- A Dual Time-Scale Offloading Strategy for Vehicle Digital Twins via Cloud-Edge-End Collaboration
- Equivalent Virtual Inductance Method Without Differential Operation for Current-Limiting Control of Grid-Forming Converters
- Efficient Fault Detection in Photovoltaic Systems using Single Layer Feed Forward Neural Networks
- Eat4U: Calorie Management Based on Predictive Machine Learning Models and Instance Segmentation for University Students in Metropolitan Lima
- Enhancing Water Resource Protection: A Data-Driven Approach to Reuse and Recycling in Green Buildings
- Fatigue damage prediction model for floating wind turbine mooring system based on neural network
- Preliminary Validation of a Wearable IoT System for Ergonomic Metrics and Activity Classification
- Adaptive Output Current Ripple Reduction Control of Interleaved LLC Converter Based on Time Domain Analysis
- Empirical Technique of Forest Conservation using Machine Learning and Cloud Computing
- A Precision Low-Phase-Noise QCM Sensor Driving System With Parasitic Capacitance Compensation Technique
- Time Series Forecasting in Financial Markets using Temporal Convolutional Network with Informer
- SEEN: A Convolutional Spiking Neural Network for Efficient Pupil Coordinate Prediction from Event Data
- Decoupling Control for PEMFC Turbine-assisted Air Supply System under Variable Altitude