- A Deep Learning Approach for Automated Muscle Identification From sEMG Signals
- Teacher-Student Framework for Short-Context Classification with Domain Adaptation and Data Augmentation
- BreathRelax: A Game-Based Breathing System Combines Stress Relief and Engagement
- Autonomic Closed-Loop Service Management based on Interworking Multiple AI Models
- Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
- An Incremental Learning Framework for Dynamic Neural Spike Classification Based on Attribute Self-Interaction Networks
- Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach
- Heating-enabled Dual-band Frequency Selective Surface for Radome De-icing in Satellite Applications
- Handling Large-Scale Network Flow Records: A Comparative Study on Lossy Compression
- Conceptualizing the Integration of Cognitive and Physical Models to Enable Continuous Human-Robot Interaction
- Smart Shopping Cart with RFID Customer Identification and Smart Billing
- Research on Ship Detection Algorithm in SAR Images Based on YOLOv8
- State of Charge Estimation Using an Adaptive Luenberger Observer and Artificial Neural Networks
- A Reinforcement Learning-Based Population Hyper-Heuristic for Energy-Efficient Cloud Workflow Scheduling Problem
- Efficient Microplastic Detection in Water Using ResNet50 and Fluorescence Imaging
- Recognition of False Reading in Energy Meter Using Firebase
- Cyber-Physical WebAssembly: Secure Hardware Interfaces and Pluggable Drivers
- Optimization-based Smart Home Energy Management System Integrating RES, ESS, Grid Interaction
- An Optimal DC-DC Converter for Fuel Cell-Supercap Series-Connected Powertrain in Fuel Cell Electric Vehicles
- Electric Thrusters Radiated Compatibility Management in S-band
- Enhancing Position Estimation in a Small Quadrotor via Onboard Real-Time Depth Feature Matching
- Intelligent Control System for Directional Drilling: A GRU Neural Network Approach
- Research on Industrial Data Desensitization Method Based on ANP and Adaptive Noise Adjustment Function
- Augmented Reality (AR) and Virtual Reality (VR) in Software Development: Transforming User Experiences and Interactions
- Optimizing Solar Irradiance Estimation for Smart Green Cities using an Error-tuned Hybrid Beta-KDE Approach
- Energy Management in PV Powered Electric Vehicle Charging Stations using Honey Badger Algorithm with Battery Backup and Vehicle-to-Grid
- Visual Object Tracking via CLIP Based Visual Prompt Tuning
- Electric Vehicle Battery Management for Sustainable Farming
- LaCoSwap: One-Step High-Fidelity Face Swapping via Latent Consistency Model
- Towards Cost Estimation of DRL for Task Scheduling and Placement
- Utilizing Fuzzy Logic to Optimize the Extraction of Maximum Output Power from the Turbine
- Melanoma Detection Using Customised DenseNet-121 for Dermatological Image Analysis
- Research on Wireless Self-organizing Network Service Topology-link Optimization Method for Power Cable Channels Considering Flow Equalization
- A Congestion Avoidance Algorithm for Opportunistic Networks
- RESURF Ga2O3-on-SiC Field Effect Transistors for Enhanced Breakdown Voltage
- Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction
- Finite Element Analysis and Experimental Tests of a Series Hybrid Excitation Synchronous Machine
- A Passive Electrical Network for Reducing Current Requirement While Driving Piezo-Actuators with Periodic Waveforms
- Handling Multiple Events in IoT Environments: A Workflow-Based FaaS System
- A Three-Layer LSTM Approach for Proactive Train Schedule Variability Alerts for Individuals with Reduced Mobility
- Design and Implementation of a Voice Controlled Indoor Autonomous Robot Kit
- Logical Anomaly Detection in Industrial Images Based on Multi-Combinatorial Knowledge Distillation
- Emotionally Intelligent Machine Learning for Mental Wellness: A Comprehensive Survey
- Performance Evaluation of CDMA and GSM Systems through NetSim Simulations
- Multi-objective genetic algorithm optimization applied on hemodynamic system control*
- Conversational Intelligence of ChatGPT in Healthcare and is Impact on Adoption: an Empirical Study from Physicians and Patient’s Perspectives
- Cloud Computing Resource Load Prediction Based on ISSA-CNN-LSTM-SES Model
- Goal-Oriented Uplink Scheduling Requests in Wireless Networks via Graph Neural Networks
- A Brief Review for Compression and Transfer Learning Techniques in Deepfake Detection
- Enabling Cloud-Native Observability for White-Box Performance Analysis of the 5G Core
- Comparative Evaluation of Bidirectional DC-DC Converter Topologies with Wide Voltage Ratio
- Securing IoT Systems Through Deep Learning-Powered Threat Detection
- IoT-Enabled Disaster Prevention: Leveraging Transfer Learning for Remote Monitoring
- Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
- Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
- An 8.1 dB SNRMIN, 17.8 pJ/Conv-Step, Code-Domain Noise Suppression Baseband Scheme for Ultra-Low-Power Receiver
- Optimization of Energy Efficiency for IoT Devices for Telemonitoring
- A Detection Algorithm for Main Components of Highway Bridges Based on Improved YOLOv8n
- WSN Coverage Optimization Based on the Improved Multi-Objective Sparrow Search Algorithm
- Influence of the Material of Inductor Core on SEPIC Converter Characteristics
- Learning Beyond Generated Targets: A Modified SFNet for CBCT Image Enhancement
- EnviroHarvest-OptiNet: A Hybrid Optimization and Predictive Modeling Framework to Assess the Environmental Impact of Rainwater Harvesting
- Granomaly: A Framework for Anomaly Detection in 5G Core Network Control Plane Traffic with Temporal Graph Neural Networks
- IoT-based Smart Traffic Management System
- Real-World Blur Dataset and Multiscale Algorithmic for Enhanced Image Deblurring
- Comparative Analysis of Algorithm for Online Payment Fraud Detection
- 3D Human Pose Estimation with Two-Step MixedGraph Convolution Transformer Encoder
- Enhancing Few-Shot Medical Image Classification with Supervised Patch-Token Knowledge Distillation
- Engine-Out Emergency Landing Based on Reinforcement Learning
- Performance Enhancement of Multipath TCP Through WiFi-LTE Integration
- Optimization of Biosensor Parameters using Cuckoo Search Algorithm
- Comparative Analysis of Type-C Approaches in Protected PON
- Enabling Secure Auditing and Deduplication in Multi-replica Cloud Storage
- Public Space Security Management Using Digital Twin Technologies
- Unmanned Aerial-Ground Systems for Wildfire Detection, Global Localization and Suppression
- High-Precision Commutation Error Compensation Strategy for Magnetically Levitated PMSM Using Eddy Current Sensors
- Optimization Research on Ultra-Low Frequency Non-Gaussian Noise Suppression Algorithm Based on Myriad Filtering
- Theory Meets Practice: Assessment of Decomposition-Based Approximation in 2D Markov Models for Server Cluster Resilience
- Smart Pedestrian-Vehicle Signal Light: A Policy Gradient-Based Deep Reinforcement Learning Model for Single-Intersection Traffic Signal Control
- Blind Super-Resolution of Remote Sensing Images for Various Degradation Scenarios
- Transformer-Based Tracker Fusing Two-Dimensional Semantic Features
- A Stacked LSTM-Based Deep Learning Approach for Forecasting Nifty 50 Market Lows
- Dual-View Graph Convolutional Neural Networks for Urban Traffic Congestion Level Prediction
- Stock Market Price Prediction Using Deep Learning
- Development of Sustainable E-book Portal
- Robust Object Detection Under Snowfall Weather Condition from LiDAR Point Cloud
- Implementation of Smart Alert System to Enhance Safety Near Railway Tracks
- Design and Implementation of Clock and Power Management Unit
- 5GC-Tracer: A Novel Non-Intrusive Distributed Tracing for Enhanced 5G Core Network Observability
- Towards a Digital Twin for Autonomous Warehouse Fleet Control
- LMGeo6: A Comprehensive IPv6 Landmark Mining Methodology to Facilitate IPv6 Geolocation
- AI-Driven Self-Healing in Test Automation: A Review of Autonomous Quality Assurance
- Non-Isolated Integrated Three-Stage LED Driver for 120W Street Lighting Application
- Advanced Model Predictive Control for Electric Vehicle Synchronous Reluctance Motor Drive
- A Malicious Traffic Detection Method Based on 1D ConvNeXt and Multi-Scale Patches
- Lyrebird Optimization Algorithm for Power Control in IoT-Integrated Smart Grid Systems
- Advancing Multi-language Open-Source Digital Simulators for Covering the Power Industry Needs
- Machine Learning to Classify the Sustainability of Predicting Diabetes Mellitus
- Enhancing Network Slice Identification in Beyond 5G: A Comparative Study of Machine Learning Approaches
- Markov Model of the Performability of Physical Servers and Virtual Machines with Failures