- Efficient EMG Signal Classification Using Domain-Optimized Features
- End-to-End Encrypted IoT System for Military Communications
- Low-Frequency Information Leakage Trough a Buck Converter Power Stage
- Regional Variation of Multimorbidity Among Under 5 Children in Bangladesh: A Machine Learning Approach
- Non-Hodgkin Lymphoma Classification Using Multi-Scale Attention Mechanism with Convolutional Neural Networks
- U-Net Segmentation and Ensemble Learning for Automated Diabetic Retinopathy Stage Identification
- A Novel 2-DoF Reluctance Electromagnetic Precision Motion System: Design, Modeling, and Control
- Driving Industry 4.0 with Digital Twins: Enhancing Predictive Maintenance and Operational Performance Through IoT and Machine Learning
- Comparative Evaluation of CNN, VGG16, Conformer, and YAMNet Models for Skateboard Riding Sound Detection
- Investigation of Albedo-Enhanced Strategies for Efficiency Improvement in on-Grid Hybrid Residential Bifacial PV Systems
- Multi-level Frequency Accuracy Checking Method of 2FSK Signal for Railway Application
- Wind Disturbance Compensation for Path-Following Control of Robotic Blimps via Deep Reinforcement Learning
- Design of an External Exoskeleton for Upper Limb Assistance in Tabletop Tasks
- Brain-Computer Interface (BCI)-Enhanced Control of Wearable Knee Exoskeletons for Walking Turning Assistance
- An Enhanced Malware Family Classification Approach with Balancing, Feature Optimization, and Explainable AI Insights
- Optimizing TinyEngine for the RISC-V Vector Extension
- Quantifying Stylistic Evolution in Classical Chinese Literature Using Word Embeddings and Trajectory Analysis
- A Novel Swint-Densenet Architecture for Bridging Hierarchical and Local Features in Breast Cancer Diagnosis Using Histopathological Imaging
- A Glass-Box Deep-Learning Method for Electrical Energy System Modeling Based on Kolmogorov–Arnold Network
- Design and Application of Police Comprehensive Service Platform Based on B/S Architecture
- Fuel Consumption and Carbon Emission Reduction in Dvrp Using Ant Colony Optimization
- A Real-Time Open Switch Fault Detection of Nine-Level Inverter and Component Detection Approach
- FedGAT-ID: Federated Graph Attention Network with Client Drift-Aware Aggregation for Distributed Cyber Threat Detection
- Transfer Recognition in Low-Resource Domains Based on Multimodal Attention Guidance
- An Enhanced Convolutional Neural Network for Recognizing ASL Gestures via Temporal-to-Static Image Conversion
- Electrothermal and Linearity Analysis of GaAs-Based Nano HEMT
- Design and Full-Pose Control of a Ducted Fan Aerial Robot with Dual-Axis Gimbaled Thrust-Vectoring Mechanisms
- Structuring Low-Rank Adaptation with Semantic Guidance for Model Fine-Tuning
- Make Your Bench Testbed Driving: A Hybrid Testbed for Automated Driving Development and Testing
- Integrating LSTM Forecasting with Mean-Variance Optimization for Dynamic Portfolio Management and Trading Signal Generation
- Shedding Light on Poverty: Leveraging NASA's Nighttime Data for Socioeconomic Insights in Bangladesh
- Interference Analysis of 5G NR on Radio Astronomy in the Upper 6 GHz Frequency Range: Mitigation Techniques and Strategies
- Kinetic Expansion of Linear Structural Elements (KELSE): A hybrid method for floorplan reconstruction from indoor scene point cloud
- Integration of Enhanced Feature Selection with Explainable Deep Learning Models for Predicting Breast Cancer
- Aggregation of Low-Frequency Conducted Emissions in DC Grids with Wireless Power Transfer Chargers
- Yaw Channel Decoupled Geometric Adaptive Control of Quadrotor with Uncertainties
- Optimization of Micromobility Integration in IoV Systems: Energy-Efficient Management Through Mobile RSUs and Machine-Learning Based Approaches
- Design and Analysis of an Enhanced Cnn Accelerator for Deep Learning Applications
- Investigation on the Susceptibility to RFI of High-Voltage Current Sensors
- CAFEM: Context-Aware Feature Enhancement with Multi-Stage Sampling for Statement-Level Defect Prediction
- Boosted Forest Soft Ensemble of XGBoost, Gradient Boosting, and Random Forest with Explainable AI for Thyroid Cancer Recurrence Prediction
- UniVerse: A Social Platform For University Communities
- Direct Adaptive Robust Control for Pump Driven Steering System of Heavy-duty Multi-axle Vehicles
- Maize Canopy Height Monitoring Using Multi-Temporal Uav-Lidar
- Comparative Analysis of Machine Learning and Transformer Approaches for Fake Review Detection on Daraz E-Commerce Platform
- A Systematic Approach for Predicting Cybersecurity Attacks in IoT using CNN-LSTM with HABCABO
- Immunity of pacemakers near high power systems at 85 kHz
- Flood Region Segmentation from Digital Image with Deep Learning Scheme
- Design & Development of a Solar Powered Portable Oil Extractor
- Automatic On-Wafer Probe Positioning System Based on Convolutional Neural Network Model
- Study on Multi-Objective Optimization Method for Deep-Sea Permanent Magnet Synchronous Motor
- Privacy-preserving Cross-silo Federated Learning for Remaining Useful Life Estimation of Distribution Transformers
- BFGen: Basic Flow Generation for Refining Requirements via LLM and Relational Graph Attention Networks
- Spatiotemporal Attention Generative Adversarial Networks are Used for Real-Time Motion Capture Data Augmentation
- Design and Implementation of an Advanced LSTM-based Intelligent Error Correction System for Japanese Translation
- Assessing the Impact of Electronic Health Records on Health Services
- Landslide Hazard Warning Based on Information Value- Random Forest Model
- Cross-Modal Contrast with Image Jigsaw for Self-Supervised Representation Learning of 3D Point Clouds
- CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media
- Object detection and recognition in foggy environment based on improved YOLOv11
- Powered Lower Limb Exoskeleton for Walking Rehabilitation and Assistance *
- Estimating Emotions from EEG Signals Using Gated Recurrent Unit Architecture
- Evaluation of a PET Insert for Trimodal Imaging: A Step Towards PET/MRI-Guided Focused Ultrasound
- Mechanism of Adaptive Fuzzy Neural Reasoning System on English Adaptive Learning
- Design and Implementation of a Machine Learning Based Intelligent Grid Fault Detection and Prediction Platform
- Adaptive Feature Fusion for Deep and Shallow Movie Recommendation
- Design and Development of Intelligent and Boosted Learning Framework for Brand Digital Marketing
- Policy-Iteration-Based Asynchronous Control of Jump Systems With Hidden Mode Observation and H ∞ Disturbance Attenuation
- Impact of Current Monitoring Probes on ESD Waveforms: Experimental and EM Simulation Analysis
- A Multimodal Approach for Pap-Smear Image-Based Classification of Cervical Cancer
- A Novel Approach for a Reference Radiator in Frequency Range above 1 GHz
- An Improved RUS-Based Sampling for Classifying Imbalance Water Quality Data
- Impact of Atmospheric Turbulence on Lidar
- A Hybrid Framework for Automated Recognition of Rhetorical Devices in Poetry Using Pattern Recognition and NLP Techniques
- A Novel Hybrid Approach to Tune the Rician K-Factor in Reverberation Chambers
- Comparative Analysis of Machine Learning and Deep Learning Algorithms for Breast Cancer Classification
- Predicting Crop Yield Using Machine Learning Algorithms for Precision Agriculture and Optimization Techniques
- Chaos-Based Dual-Function OTFS: Joint Security and PAPR Reduction for LEO Satellite Communications
- Lightweight Fall Detection Based on FMCW Micro-Doppler and Power Burst Signatures Extraction
- Feature Selection and Classification of Electromyographic Signals for Improved Motion Recognition
- DCGAN-Leaf: A Deep Convolutional GAN Approach for Synthetic Plant Disease Image Generation and Detection
- Joint Compensation Scheme for Phase Noise and Dispersion in Optical Fiber Communication
- Hydrodynamic Simulation of Five Degree of Freedom Underwater Manipulator
- On the Time Domain Plane Wave Model for Single Carrier Pulse Response in Reverberation Chambers
- Predictive Model for Asthma Diagnosis Using Advanced Feature Selection and Voting Techniques with Model Explainability
- Applications of Pseudorandom Number Generator in Selected Stochastic Simulations
- Design and Implementation of a Torque Control System Based on Siemens S7-200 SMART PLC and Adaptive PID Algorithm
- Hybridization of full-wave FDTD solver with a Multilevel Multiconductor Transmission Line solver with ngspice Interconnections
- IoT-Based Sustainable Waste Management and Monitoring System
- Graph Neural Network Assisted Decoupling Capacitor Optimization for Power Distribution Networks in Heterogeneous Integration
- Explainable Shapley Additive Explanations-Enhanced Stacked Ensemble for Digital Financial Risk Prediction
- Animation Design and Graphic Interaction Based on Augmented Reality
- Quantitative Trading Strategies and Risk-Benefit Analysis of Gold and Bitcoin Under Lstm-Pso Framework
- Optimization of Higher Vocational Students’ Learning Ability Based on PCA-BPNN and Multi-source Heterogeneous Data
- Reinforcement Learning-Driven Real-Time Garment Defect Detection with Adaptive Visual Attention Mechanisms Learning
- Full-Body vs. Head-Only Modeling: Full Wave Computational SAR and Adaptation of Corresponding ANN Models
- Simulation-Driven Energy-Efficient Routing Protocols for Wireless Sensor Networks Using VLSI-Based Techniques
- A Novel Vibration Monitoring Method for Marine Turbocharger Turbine Blades Based on Pressure Pulsation Measurements
- Human Wrist Rehabilitation: Mechanical Design and Development of EDUSA ® PRO Robotic Solution
- Research on Recommendation of Ideological and Political Teaching Resources using Dunn Index based K-Means Clustering Approach