- A New Method for Calculation of Generalized Distributed Capacitance Matrix for Multi-Conductor Transmission Lines
- Density-Aware Superpoint Grouping with a Deep Residual MLP for 3D Point Cloud Segmentation
- Evaluating EMI Emission Challenges in Drive Inverter Testing using Electrical Machine Emulators
- MiniVHS-22: A Realistic Multi-Source Dataset for Intelligent Malware Detection Using Machine Learning
- AI-Enabled Ensemble Learning Framework for Predicting Road Accident Severity
- Robust Carrier Phase Recovery in Probabilistically Shaped QAM via Adaptive EKF-ML
- Fusing Trajectories of Exploring Agents in a Crisis Environment using DeepSeek
- Understory Terrain Estimation Based on the Fusion of Multi-Source Remote Sensing Data and Machine Learning Models
- Coupled noise-aware UAV fault diagnosis based on learnable wavelet packet transform and scale-graph label enhancement
- A Multi-Level Computational Simulation Framework for Evaluating Science and Technology Innovation Policies in Big Data Environments
- Inter-laboratory Comparison for Military Conducted Immunity Test
- Multi-Layer Perceptron with Dropout Regularization for Credit Scoring on Imbalanced Financial Datasets
- Greedy Optimization for Enhancing Quantum Key Distribution Performance in Satellite Networks
- Secure and Privacy-Preserving Traffic Flow Prediction in Intelligent Transportation Systems Using Blockchain-Based Federated Learning
- Exploration and Practice: the Construction of an Undergraduate Oriented Full English Course on 3D City Modeling in China
- A Meta-Heuristic Real-Time Task Graph Scheduler for Partially Occupied Edge Computing Platforms
- Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
- Age-of-Information-Aware Hierarchical Collaborative Inference in Digital Twin-Enabled Vehicular Edge Computing
- $U^2$ Frame: A Unified and Unsupervised Learning Framework for LiDAR-Based Loop Closing
- Comparison of Sentiment Analysis Evaluation Regarding International Mobile Equipment Identity Blocking Between the K-Nearest Neighbor and Support Vector Machine Methods
- Comparative Analysis of Traditional Business Models and Machine Learning Approaches for Business Improvement and Growth
- Scheduling and Fusion for Multimodal Federated Learning in Energy-constrained Wireless Networks
- A Novel MEMS Pressure Sensor with Residual Stress Compensation for Micro-Pressure Range
- MPC-Guided Reinforcement Learning for Enhanced Bipedal Walking Stability on Uneven Terrain
- A Predefined-Time Distributed Optimization Method for Low-Carbon Economic Dispatch of Integrated Energy System
- Comprehensive Study of Low Light Facial Recognition Based on Conventional and Deep Learning Models
- Exploring Deep Learning for Apple Leaf Disease Detection with Explainable AI
- Thermal Dynamic of Single-Event Burnout in SiC Power MOSFETs
- Effect of Pressing Force on Perceived Vibrotactile Intensity in Stylus-mediated Interaction
- Contextual Emotion Retrieval in Low-Resource Languages: A Deep Neural Paradigm for Bengali Nostalgia Detection
- IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
- Boosting the Cost-Effectiveness of Metamorphic Test Case Pair Selection for DNN Testing with Surrogate Model
- A Novel Wheeled Robot Design for Climbing Stairs
- Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning
- Efficient Cloud Resource Allocation Using a Hybrid Approach of Gradient Descent and Genetic Bee Colony Optimization(HGD-GBCO)
- DeepLeafDiagnosis: A Two-Phase Transfer Learning Strategy for Perfect Accuracy in Rice Leaf Disease Classification
- Adaptive robust control of direct drive proportional servo valves considering friction compensation and asymmetric state constraints
- Design Optimization of Cultural Creative Products Based on Cultural-Aware Generative Graph Transformer
- Development of a Super-Resolution Satellite Image Processing System on an Edge AI Platform
- Analyzing Threats in Public Wi-Fi: A Study of Attack Vectors, Vulnerability and User Awareness
- Accelerated and Accurate Cervical Cancer Diagnosis Using a Novel Stacking Ensemble Method with Explainable AI
- High-Fidelity Electromagnetic Modeling for Multi-Output Transformer Design
- IEE-PAR: Improved Energy Efficient-Power Aware Routing for Reliable QoS in Mobile Ad-hoc Networks
- Research on Software Development Data Modeling Based on Meta Model
- Towards vulnerable person monitoring using intelligence from ambient UHF RFID tags
- Dual-Active-Bridge and Half-Bridge-Active-Clamp Converters for Electric Aircraft Applications
- Predicting Adolescents' Attitudes Toward COVID-19 Vaccination Using Machine Learning Techniques
- Research on Control cubicle Fault Diagnosis Method Based on RFID Sensing and Deep Belief Network
- Thermal Analysis and Switching Performance of a 1.7 kV SiC Power MOSFET Under High-Frequency Operation and Double Pulse Testing
- Electromagnetic Characterization of sUAVs Through Polarimetric Radar Cross-Section Analysis
- Identification method for Gray-box model parameters of DC-DC converter
- 2P(RPS-UPS) parallel mechanism sliding mode control and trajectory tracking method
- Simulating Contention and Timeout Caches for a Mixed-Criticality 5G Radio Base Station
- Human-Robot Collaborative Strategy Based on behavioral intention recognition and switching impedance control for Manipulator
- Macroeconomic Multivariate Time Series Forecasting Model Based on Transformer Architecture
- Design and Development of an Intelligent Student Work Management Platform Using the B/S Model and FT Transformer Architecture
- A Parameter-Efficient Deep Learning Model for Preeclampsia Prediction Using Diverse Datasets in Low-Resource Settings
- Conceptualization and Implementation of a Threshold-Adjustable Mechanism in Fluid-Based Contact Counter Systems
- The Future Sustainability of Jute and Tea Production in Bangladesh Under Changing Climate Conditions Using Machine Learning Models
- Fed-XGBoost-LGBM: Privacy-Preserving Multi-Crop Recommendation Using Federated XGBoost-LGBM Ensemble on Imbalanced Soil Data
- AI Powered Hybrid Framework for Efficient VM Auto-Scaling in Cloud Computing
- LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-Assisted Sensor Networks
- Design of Multi-DOF Spherical Platform for Omnidirectional Locomotion in Virtual Reality
- EMC Filter Drift Induced by Thermal Aging : Efficient Source Identification and Component Level Accelerated Aging Test
- An Exploration of Deep Transfer Learning with a Layer-Modified AlexNet for Brain Tumor Classification
- Support Vector Machine Model for Enhancing the Accuracy of Chronic Kidney Disease Risk Prediction
- Accurate Zeroing of Combat Assault Rifle Using Bullet Grouping Analysis and Mean Point Impact Calculation
- Enhancing Adult Income Prediction Using PSO-Tuned LightGBM and Explainable AI
- Unbiased Estimation of Reverberation Chamber Quality Factor Using Frequency Sweep Only
- Integrating Eye-Tracking with Cortical Visual Prostheses in Patients without Eyes: A Case Study
- Gait Dynamics Evolution of a Passive Walking Robot with Asymmetric Leg Length and Arcuate Feet
- Rényi Differential Privacy with a Temporal Convolutional Network for Privacy Preserving Data in Healthcare IoT
- A study on hand motion assessment of stroke patients based on raw data
- Monitoring Home Security by Developing an IoT-Based Smart Home Automation System Controlled by Android App and Web
- Automated Liver Tumor Segmentation and Diagnosis Using Self-Guided Deep Clustering Networks
- Multi-Scale Mixture-of-Experts With Lora for Building Extraction from Optical Remote-Sensing Images
- Evaluating the Differences Between Sequential and Combinational Logic Circuit Designs
- Smarter Crowdsourcing with NLP and Attention Mechanisms for Task Complexity Prediction
- An Integrated Metric for Modularity in a Microservice System
- A Learning Time-Graph Frequency Representation for Monaural Speech Enhancement
- Hybrid Beamforming for Multi-User Joint Communication and Sensing with URA under Partially Connected Architectures
- FbBot: A Cross-Lingual Social Automation Framework Based on Multimodal Perception
- Development of a Robust Watermarking Scheme Against Recompression Attacks for AV1 Videos
- An Innovative Method for Cancer Cell Identification with Optimized Surface Plasmon Resonace in Photonic Crystal Fiber
- Automated Generation of Production Reports in a Textile Factory
- AutoNetTest: A Platform-Aware Framework for Intelligent 5G Network Test Automation and Issue Diagnosis
- VNA-Based in-Band Spectral Purity Assessment for MM-Wave Frequency Extenders
- Performance Analysis of Fluid Antenna Multiple Access Assisted Wireless Powered Communication Network
- Domain Adaptive Bootstrap Aggregating
- Common mode coupling of 3D-FDTD and MTL methods for in-situ cable bundle modeling
- Detecting Misinformation with Multimodal AI: Leveraging Vision and NLP for Fact-Checking
- Design of a Novel Rotary Balance Cylinder for Heavy-Duty Robotic Arms*
- Lightweight MATLAB GUI for Real-Time Voice Biometric Authentication
- Developing a Simulation-Based Methodology for Risk Assessment in Unmanned Aircraft Systems
- Address Anomalies at Critical Crossroads for Graph Anomaly Detection
- A New k -anonymity Method Based on Generalization First k -member Clustering for Healthcare Data
- Analytical Study of Proportional Delay Differential Equations Based on Extreme Learning Machine Algorithm
- Measuring Accuracy of Different Machine Learning Algorithms on Expectations and Experiences of University Students
- FDB-Net: A Local-Global Collaborative Attention-Based Network for Information Extraction of Flood-Damaged Building
- Discovering Patterns in Environmental Data for Air Quality Analysis Using Association Rule Mining