- Noise Modeling and Compensation of Low-Cost IMU Based on Allan Variance-Transformer Model
- ML Methods for SNR Prediction in Vehicular Communications
- Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communication
- Optimizing Lightweight Cryptographic Schemes for Enhanced Security in Rfid and Wireless Sensor Networks
- Group Neural Bandits for Dynamic Collaborative Inference in Maritime Edge Intelligence Networks
- Research on Educational Interactive System Based on Computer Big Data
- Performance Evaluation of Hybrid CNN-SVM model for Efficient Detection of Cracks and Faults in Solar Panels
- Management of Intermittence of Renewable Energy Production: Various Aspects of Energy Storage
- A Novel Approach to Efficient Network Adaptation in MANETs with QED
- Failure Rate Analysis of a Medium Voltage Grid
- Optimizing Depression Prediction Models: A Stacked Ensemble Approach with Weighted Feature Importance
- Intelligent Technology for Smarter Healthcare: A Literature Review on Technology Transfer
- Microprocessor Loadline Measurement Prediction Using Artificial Intelligence Regression
- Predictive Analytics of Stroke Patients Monitoring System using Deep Learning Models
- Predicting Global Temperature Rise Using Deep Learning Regression on $\text{CO}_{2}$ Emissions Time Series
- TALLM: A framework for Text Analysis using Large Language Models
- Comprehensive Comparison of Lightweight Encryption Algorithms for Energy-Efficient IoT Applications
- Ensemble Model for Medical Diagnostics: A Hybrid Approach to Improve Prediction Accuracy
- Decentralized Health Monitoring with IOT
- Compressive Sensing Algorithm based on DCT and DWT for ECG Signal Reconstruction using VariousWavelet Kernels.*
- Can AI improve individual employee performance?
- Building an Ethics Assurance Case for an Algorithmic Deprescribing Decision Support System
- Non-Volatile Memristor as a Backscattering Circuit Element: High-Frequency Analysis and Preliminary Theoretical Considerations
- Power Amplifier Design with 8 dBm Saturated Output Power in $D$ -Band in 22-nm FDSOI Technology
- Evaluation of the Impact of Operating Modes of a Home Bread Maker on Energy Efficiency
- Using LLMs for Security Advisory Investigations: How Far are We?
- Development of a Smartphone-Based Cataract Detection System Using YOLOv10x and Ionic Framework with a UI/UX Centric Approach
- Stock Price Prediction via Feature Optimization and SVM-Random Forest Multi-Model Fusion
- Advancing Petroleum Economics: Machine Learning Approaches to Predicting Oil Prices
- Modeling and Optimization of Energy-Efficient Zone for Wind Turbines for Time-Variable Wind Speeds
- A Hybrid Framework for Early Prediction of Psychological Disorders by using AIML Techniques
- A cardiovascular modeling framework for enabling personalized healthcare : A Digital Twin Approach
- Identifying Important AI Sub-Pillars on Carbon Dioxide Emission Using Data Mining Techniques
- Ways to Improve Energy Efficiency of Ship Power Systems
- End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics
- Junction Points Aided Point-Line Based GNSS/INS/Vision Integration Outlier Exclusion and Localization in Degradation Environments
- Analytics for the Location Planning of Attention-Deficit Hyperactivity Disorder Monitoring Capacity in Adolescents
- Double-Page Quad-Word Alternating Program Disturb for Nand Physical Unclonable Function with Dual-Layer Stable Bit Selection
- Need of Artificial Intelligence to Encounter the Impact of Future Climate Change on The Renewable Energy Potential in The Kingdom of Bahrain
- Ascent trajectory and parameter collaborative optimization for aerospace vehicles with rocket-based combined cycle propulsion
- Causal machine learning to investigate the effectiveness of vancomycin as the empiric treatment choice in patients hospitalized with community acquired pneumonia
- Learning-Based Scaling Scheme for Markov Jump Systems and Its Application in Operational Amplifier Circuit
- Experimental Evaluation of a Magnetic Core's Relative Permeability and Core Loss Coefficients
- Analysis of Li Ion Battery using Computational Fluid Dynamics
- Multi-Attribute Utility Theory Approach with School Grades Data for University Department Selection DSS
- Ai for Teaching Subjects of Electrical Engineering
- Victim Detection Using a Robot-Mounted UWB-Radar Platform
- Towards Formal Representation of Memristor-Related Domain Knowledge - A Pragmatic Attempt
- Data-Driven Inversion and Prediction Method for Hot-Spot Temperature of Oil-Immersed Transformer
- Advanced PV Based Power Conversion and MPPT Technique for BLDC Motor Driven EV Application
- Deep Learning for Date Palm Disease Detection
- Influence of Soiling and Partial Shading on the Performance of Photovoltaic Modules
- Enhancing Radiology Documentation using a Lightweight CNN-RNN based Speech-to-Text Model
- The Neural Network for Accurate Prediction of Stock Price: Systematic literature review
- Application of Deep Reinforcement Learning Algorithm for Adaptive Learning Path Planning in Immersive Learning Environment
- Correlation Between AI Tool Usage Frequency and Perceived Learning Effectiveness in Programming Education
- Examining the Role of AI Experience in Shaping Consumer Attitudes and Adoption Behavior in Social Media Marketing
- Design and Evaluation of Motionless Wind Turbines: Pioneering a New Era in Renewable Energy
- An Enhanced Rice Quality Classification Using Transfer Learning with VGG and Bayesian-Optimized XGBoost
- Automatic Distractor Generation with Paradigmatic Relation for English Vocabulary Tests
- AI Approaches for Detecting and Mitigating DDoS Attacks in 5G Networks: A Systematic Literature Review
- Analysis the Security Level of End Devices in a ZigBee Network
- ODMTCNet: An Interpretable Multiview Deep Neural Network Architecture for Feature Representation
- Analysis Performance of Machine Learning Classifiers for Breast Cancer Detection Based on Features Selection and Cross-Validation
- Improving Clinical Report Classification with Sentence Boundary Detection
- Designing Machine Learning Algorithms for Feature Extraction and Classification in Dengue Diagnosis
- Empowering E-learning Through Social Media Influencers: A Social Constructivist Approach
- Warehouse Location and Distribution Planning Through Ramified Optimal Transport
- Hybrid Approach Using RoBERTa and Neural Networks for Airline Twitter Sentiment Analysis
- Usability-driven design of medical device APPs for telemonitoring of chronic patients
- Opportunities for Pulse-Based Diagnostics in Electric and Hybrid Vehicle Batteries
- Identifying Fraudulent Behavior with Voting Methods of Clustering Algorithms for Fraud Detection in Indonesia's Health Insurance System
- Unlocking AI Potential: An Investigation of Python Coding Capabilities of ChatGPT and Gemini
- Intelligent Q&A System for Signals and Systems Based on Multimodal Knowledge Graph
- Task Scheduling in Geo-Distributed Computing: A Survey
- Machine Learning Models for the Analysis of MultiTemporal Satellite Images for Change Identification and Predictions
- ZONIA: A Zero-Trust Oracle System for Blockchain IoT Applications
- Dynamic Emotion Recognition from EEG Signals: A Hybrid Approach Combining DNN and RNN Architectures
- Research on a Laboratory System for the Application of Electrochemical Coatings in the Processing of Structural Units in Electrical Devices
- Design and Simulation of a Carry Save Adder (CSA) using NAND Gate in CMOS 180nm Technology
- HuntSmart: Hypothesis-Driven Threat Hunting Using GenAI
- High Gain Lens-Loaded Circularly Polarized Antennas for RF Jamming Applications
- Vision Transformer-Based Framework for Generating Concise Image Captions: A Vision Language Approach
- A Survey with Practical Demonstration on Acceleration of Machine Learning Models
- Hidden Markov Models: A Cutting-Edge Review of Their Role in Text Classification
- FusePose: A Monocular Camera Position Estimation Network Based on Multi-Information Fusion
- Enhancing Pilgrimage Safety and Efficiency in Makkah and Madinah Using AI and Edge Computing
- Time-Series Patient-Reported Data and LSTM Predicting Hospital Utilisation During Chemotherapy
- Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers’ and Children’s Electronic Health Records
- Online Parameter Identification Method for Electrical Machines Based on Angle Dependent Control
- Regional Knowledge Transfer for Urban Traffic Flow Prediction via Satellite Imagery Assisted Contrastive Domain Adaptation
- Novel Visualization XAI Approach for Assisting Schedulers' Comprehension and Interpretation of ACO Applications in Job Scheduling
- Achieving Minimal Transmission Loss in Coplanar Waveguide with 100 GHz Bandwidth for Millimeter Wave Communication
- SwinMDR: Swin-Transformer-based Multi-Degradation Restoration for Planetary Images
- Lightweight Network Enhancing High-Resolution Feature Representation for Efficient Low Dose CT Denoising
- Privacy in Italian Clinical Reports: A NLP-Based Anonymization Approach
- Harmonic Analysis of Boost Inverter for Grid Application
- Comparative Biomechanical Analysis of Conventional and Sumo Deadlifts: Kinematics and Electromyography under Variable Load Conditions
- CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
- Exploring the Benefits of a Multi-Technology Exergaming Platform for Physical and Emotional Well-Being in Older Adults