- Exploring Explainable AI Methods for Decoding Machine Learning Model Decisions
- Performance Analysis of Machine Learning Models for Detecting Anomalous Traffic in Internet of Medical Things
- A Recurrent Neural Network-Based Approach for Predictive Analysis of Equipment Durability
- A Hybrid Modulation Strategy of Dual Active Bridge Converters for Electric Vehicle Charging in Microgrid Applications
- TSG: A New Approach to Preserving Same-Timestamp Data in Time-Series Databases
- Evaluation of the Performance of Three Phase Neutral Point Clamped Inverter
- Efficient Speech Denoising via Frequency-Domain Reservoir Computing
- Disease Risk Prediction by Combining Physical Examination Big Data and Machine Learning Methods
- Bearing fault diagnosis method based on BiGRU and Swin Transformer attention fusion time-frequency features
- Complex Flowchart Text Generation Based on Large Language Models
- Federated Learning-Based Energy Management Framework for Decentralized Microgrids
- Research on the Hybrid Model Combining Decision Trees and Naive Bayes Based on a Dynamic Switching Mechanism
- Constructing Visibility Maps of Optimal Positions for Robotic Inspection in Ultra-High Voltage Centers
- Transforming Customer Service in Mobile Banking: The Role of AI-Powered Chatbot
- Adaptive Dynamic Digital Twin for Test Scenario Generation
- Decoupling DNS Update Timing from TTL Values
- AttRes-Contrast: A Novel Image Classification Model with Pre-training Method
- A Pull-up Counting Algorithm Based on Human Key Point Detection and Image Segmentation
- Driving On Surfelgrid: Motion Planning and Trajectory Optimization in Uneven Environments
- Next-Gen Underwater Communication: Enhancing Data Transfer With Li-Fi Technology
- A Hybrid Ensemble Method with Focal Loss for Improved Forecasting Accuracy on Imbalanced Datasets
- Integrated Wireless Power Transfer for Energy Efficient Brushless DC Motor in Piping Networks
- Small 2 Pole ALA Rotor RSM (500W, 3krpm): Comprehensive Experimental Characterization
- A Novel Framework for Malaria Detection Using Machine Learning
- PoinTS: mmWave Radar-based PointNet and Transformer Network for Human Skeleton Estimation in Privacy-Preserving Rehabilitation
- Efficient Alzheimer's Stage Recognition with Finetuning Convolutional Neural Network
- Wideband Bandpass HMSIW Filter with Dual Passbands using DGS and Slots
- Deep Learning Scalability: A Survey of Challenges, Techniques, and Future Trends
- Snake Optimization Algorithm for EV Charging Management in Renewable Energy-Enabled Smart Grids
- Limitations Using Energy Intensity and General Energy Efficiency of 6G-Ready IoT Devices
- Understanding the Thermal Aspects of Lithium-Ion Battery Pack for Sustainable Operation in Electric Vehicle Applications
- Application of Gradient Boosting Nerual Network in Enhancing the Measurement Accuracy of Liquid Level Sensor
- High Efficiency Monocrystalline Solar Panel for Sustainable Mobile Charging
- Vehicle-mounted LiDAR Multi-object Detection and Tracking under Weak Point Cloud
- Design and Implementation of a Blockchain-Based Secure and Transparent Electronic Voting System
- 3D-printable crease-free origami vacuum bending actuators for soft robots
- Hybrid Dynamic Programming and Regression Approach for Fuel-Efficient Eco-Driving Optimization
- Research on Real Time Object Detection Optimization Algorithm for Drill Model Parts Based on Deep Learning
- Model-Free Optimal Static Output Feedback Control using Integral Reinforcement Learning
- Hybrid Machine Learning Framework for Early Parkinson's Disease Detection using Spiral Drawing and Voice Data Analysis
- A Real-Time ECG Monitoring System Based on Internet of Things for Diagnosing Cardiac Disorders
- Assessing the use of Face Swapping Methods as Face Anonymizers in Videos
- AI Powered Healthcare Assistant Using Machine Learning Techniques
- Sustainable Manufacturing Application of Embedded Learning Algorithms for Vision-based Defect Detection under the Industry 5.0 Paradigm
- Cooperation among Multiple Medical Institutions on Breast Cancer Survival Status Prediction Based on Federated Learning and Monte Carlo Trees Search
- Location and Diagnosis Method of Cable Joint Moisture Defect Based on Knowledge Driven Neural Network
- Generalized Least Squares for Vehicle Traffic Estimation
- Detection of Foreground Moving Objects Across Consecutive Video Frames and Between Two Distinct Images Within a Single Frame
- AI-Powered IoT System for Constant Urine Output Monitoring in Critically Ill Patients
- Coordinated Sketch-Based Traffic Monitoring in Dynamic Networks
- State Wide Mobile Network Quality Study Along the Bavarian Roads in Germany
- Microstripline Antenna for Space Application
- Comprehensive Study on Lymphoma Detection Using Deep Learning
- A Divide-and-Conquer Noise Classification and Collaborative Noise Reduction for Speech Enhancement
- Implementation of a Simulation Platform for Microgrids with Photovoltaic System using an Embedded System
- Analysis of the Field Homogeneity and Isotropy in a Tent-Like Reverberation Chamber
- AI-Driven Detection and Control in a Bioinspired Robotic Fish*
- Transforming Supply Chains with Blockchain: A Pathway to Achieving SDG 12
- A Review on Deep Learning and Transfer Learning Models: Grape Leaf Disease Detection
- An Overview of a Course on Audio for Games and Interactive Media
- Prediction of Diabetes Risk in Women Based on Improved ANN Modeling
- Polymer Quenching as a Sustainable Solution using a Retrofit Oil Tank
- Edited Knowledge Fusion with Large Language Models
- A Blockchain-Based Framework for Enhancing Adaptive Differential Privacy in Federated Learning
- Research on Data-Driven Prediction Algorithm Based on Machine Learning
- Identifying Systemic Importance in Banking Systems Based on Complex Networks
- Designing of Heart Disease Prediction Model Using Machine Learning Algorithm
- Predicting Crop Yields with Random Forest: A Data-Driven Approach
- Deep Reinforcement Learning for the Expert Advice Multi-Armed Bandit
- GestureSpeak: A Real-Time Sign to Speech Translation
- Modeling the Operation of a Mobile Charging Station for Electric Vehicles
- Efficient Power Converter Using Solar System
- Detection and Tracking of UAV by Spatial, Temporal and Distance Contour Hybrid Architectures with Fuzzy Information Fusion
- Time Synchronization in Packet Switching Networks
- Detection of Frequency Hopping Signals Based on YOLOv5 in Complex Environments
- A Max-Plus Algebra-Based Platform for Modelling Coordinated Underwater Tasks of Fish Robots
- A Joint Analysis of Single-Cell Multi-Omics Clustering Based on Variational Autoencoder and Multimodal Fusion
- SecureVaultChain: A Blockchain-Based Hybrid Model for Comprehensive Threat Mitigation in Network Systems
- CMRAG:Complexity Measurement Methods in Industrial Intelligent Manufacturing Based on Retrieval-Augmented Generation
- Belt wearing identification for aerial workers based on improved YOLOv5s
- Hierarchical Reconstruction Module for Multi-View 3D Reconstruction of Fruit Trees
- Mathematical Modeling and Speed Control of Brushless DC (BLDC) Motor using PID Controllers for the Systems Sustainability
- Dynamic Collective Assembly and Motility of Soft Magnetic Microrotators: Colloidal Gears, Caterpillars and Cartwheels
- A Precision Smart Healthcare System with Deep Learning for Real-Time Radiographic Localization and Severity Assessment of Peri-Implantitis
- Scaling LLM Inference Architectures: A Performance Analysis for Chatbot Applications
- Real-Time Heart Sound Analysis and Abnormality Detection using Deep Learning Algorithms in a Digital Stethoscope
- Enhanced Attenuation and Bandwidth of Electromagnetic Absorbers Through Monte Carlo Optimization of Resonant Periodic Metastructures
- Multi - Modal Signal Processing for Avatar Motion Adaptation
- Research on Mobile Health Management Platform System
- Evaluating Machine Learning Models for Sustainability to Improve Electric Vehicle Range Prediction
- Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
- An Approach Towards Effective Processing of Liver Tumour Data
- A Hybrid Model for Network Condition Forecasting to Improve QoS in Tactical MANETs
- Slope Considered Online Nonlinear Trajectory Planning with Differential Energy Model for Autonomous Driving
- Identifying Synchronous and Asynchronous Communications in IMA Traffic
- Cooperative Coevolution Framework with Recursive Differential Grouping Algorithms for Solving Large-Scale Optimization Problems
- DNN-Based Binaural Audio Generation for Planar Video
- A Review on the Role of High-Entropy Alloys in Enhancing Energy Efficiency and Sustainable Development
- Magnetic Cleanliness and Measurements for the Comet-I Mission
- Exploring Electric Vehicle Price Prediction and Characteristics