- AI-Driven Fault Detection Using LoRaWAN in Solar-Powered Microgrids for Agricultural Irrigation Systems
- Digital Influence of Online Shop Influencers in Promoting Sustainable Growth
- Design and Optimization of Wide-Band FSS Using Reinforcement Learning for X and Ku Band Radar Shielding Applications
- The Impact of Social Media Influencers, Brand Image, and Attitude on Purchase Intention
- On the performance analysis of Yolo algorithms to identify the vector of Greening in orange farms
- An Optimized Inventory Management System with Enhanced Replenishment for Home Needs Stores
- OFDMA-RSMA-based Multiple MBSs Intersymbol Interference Coordination Design in Hybrid Networking with LTE and NR Coexistence
- A Novel Scheduling Enhancement Solution for Deterministic Communications in 5G Advanced Network
- DAOSVM: A Machine Learning Approach to Obstacle-Aware Path Planning in Wireless Sensor Networks
- Design, Analysis, and Performance Enhancement of PMSM for EV Application
- Plant Pest Diseases Detection System in Rice Field Based on Aerial Mapping Using Deep Learning
- Robust Reinforcement Learning for Autonomous Driving in Uncertain Environments
- The Impact of IoT, Community Engagement, and Social Media on Social Innovation in the Digital Era
- Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation
- Design and Analysis of Compact Array Antenna for 5G and Radar Applications
- Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
- Reinforcement learning for adaptive gain in sliding mode controller: applications in robot arms
- From Analog to Digital Semantic Communications: Architectures, Challenges, and Future Directions
- Data Access Anomaly Detection using Sequence Models
- A 3D Deep Learning Framework for Brain Tumor Classification Followed by Region-Aware Segmentation Using UNetR
- Sustania: A Digital Farming Ecosystem for Smart Agriculture
- Classifying Patient Conditions Based on Drug Reviews Using Natural Language Processing
- Discrete-Time Modeling of Interturn Short Circuits in Interior PMSMs
- Early detection of Parkinson Disease via speech analysis using SVC, XG BOOST, GRADIENT BOOSTING CLASSIFIER
- Assessing the Impact of Extreme Weather on Infrastructure Resilience
- Multi-Input Interaction Positioning and Signal Demultiplexing With Deep Learning in Semi-Monolithic Detectors
- Optimizing Human Activity Recognition for Resource-Constrained Environments Using Random Forest and Feature Subset Selection
- Hybrid Embedding and Clustering techniques for Enhanced Stress Detection
- SavvyAI: AI Enhanced Personalized Career Guidance System
- Enhanced Frequency Compensated Three Stage Amplifier using RNMC and Self cascode-DTMOS Transistor
- Deadbeat Speed Control for Photon-Driven PMDC Motor System
- Application of Data Exploration Methods for Evaluating Relationships between Elements in Incineration Bottom Ash
- CNN-based Predictive Analytics Models for ERP-Supported E-commerce
- Predictive Health Monitoring System for Patient Risk Assessment using Machine Learning
- Generative Information-guided Heterogeneous Cross-fusion Network with Contrastive Learning for Multimodal Remote Sensing Image Classification
- A deep learning-based CSI prediction method for LiFi systems
- TPU-MLIR-Driven INT8 Quantization for YOLO Models: Enabling High-Performance Edge AI in Autonomous Quadruped Robots
- Prototype Competition and Breakthroughs
- Multi-Capacitated Waste Collection Routing Problem with Container Fill Levels
- Used Car Price Prediction and Classification Using Machine Learning Approaches
- Generative AI Efficiency and Effectiveness in Software Project Documentation Review Process
- Analysis of Financial Budgeting Using Computational Intelligence Approaches: its need and importance in reference to the state of Uttarakhand
- Next-Generation Computing for Smarter Traffic: An Explainable AI Approach to Short-Term Flow Prediction
- KannaDa - A Kannada-based Programming Language Interpreter using Lex and Yacc
- Evaluating Stroke Risk with Single-Modality Learning: Machine Learning on Clinical Records vs. Deep Learning on Brain Scans
- Time-Series Forecasting of Meningitis Out Breaks using ARIMA and LSTM Models
- B-FedGNN: Blockchain-Coordinated, Privacy-Preserving Federated Graph Neural Networks for Social-Commerce Recommendations
- Research on Intelligent Algorithm Optimization and Energy Demand for Green Energy Building Intelligent Power System
- Length-Matching-Constrained Chip Routing for Via Minimization in RSFQ Circuits
- Numerical Analysis of Savonius Ocean Current Turbine Performance in Kepa Strait
- Prior is Power: High Dynamic Radiance Field with Depth Optimization
- A Hybrid Lightweight Model for Real-Time Pedestrian Perception and Motion Forecasting in Autonomous Driving
- Emerging Trends and Technologies in Supply Chain Management: A Bibliometric Analysis
- Research on Optimal Selection of Preventive Maintenance Strategies for Train Control Systems Based on Improved Mutation Theory
- Contrastive Diversity Augmentation for Single Domain Generalization
- Super-Resolution Reconstruction of Satellite Images Using Refined SwinIR
- VR Immersive Learning for Mechanical TVET Workshop: Design Considerations
- A Comprehensive Review of Artificial Intelligence Approaches for Climate Change Prediction using Remote Sensing Data
- A Comprehensive Framework to Design An Intent-driven Self-intelligent Orchestration Management Platform
- Intelligent Recognition of Abnormal Operating Conditions in Cement Grate Cooler Based on CNN-LSTM
- The use of color QR codes and blockchain for secure storage and management of biometric and documentary data
- Leveraging Machine Learning Algorithms for Robust Credit Card Fraud Detection: A Performance Comparison
- Advancing Quranic Semantics: BERT-Based Verse Relationship Classification
- Global-guided Label-Aware Adaptive Multi-label Feature Selection via Fuzzy Mutual Information
- Analysis of Gender Parity Index (GPI) Literacy Ratios for 15–24-Year-Olds: A Statistical and Comparative Study
- A Transformer-based Temporal Feature Fusion Approach for Autonomous Driving BEV Perception
- Link-Based Distributed Co-Optimization of Power Dispatch and EV Routing in Solar Pavement-Enabled Power-Transportation Networks
- Short-Term Generation Forecasting for Solar fed DC Microgrids Using Machine Learning with OPTUNA
- Systematic Review of Artificial Intelligence Techniques Datasets and Weaknesses in Finance Cybersecurity
- Research on APF Compensation Current Hysteresis Control of Electrified Railway
- Emohance: Enhancing Emotional Arousal in Interactive Content via Real-Time Vibratory Feedback
- Time Pressure and Flow Experience as Drivers of Impulsive Buying in Live Fashion Shopping
- Topic Modeling Enhancement using Summaries Generated by LLM Models
- Eye-Controlled Mouse Cursor and Adaptive Graphical User Interface for Disabled Individuals
- AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
- Touchless Human-Computer Interaction: An AI-Driven Gesture and Voice Control System
- Federated Edge Intelligence: IoT-Enabled Earthquake Detection with Real-Time Learning
- A Novel Asymmetrical-Parallelled LLC Resonant Converter for Light Load Efficiency Improvement
- Attention-Enhanced Dual-Path CNN for Early Alzheimer’s Detection from Multi-Planar T1-Weighted MRI
- Dual-Level Adaptive Sampling for Enhanced Few-Shot Medical Image Classification
- Advanced Comparative Analysis of the Hough Transform and RANSAC with Applications in Automated Growth Ring Detection in Otoliths and Integration with Deep Neural Network
- Integrating Knowledge and Data Driven Methods to Generate Synthetic Mobility Data
- The Evolution of Artificial Intelligence Enhanced Enterprise Resource Planning in Higher Education: A Comprehensive Meta-Data Analysis
- Hybrid Explainable Autoencoders for Credit Card Fraud Detection: Integrating Deep Latent Representations with Model-Agnostic Interpretability
- Research on dynamic optimization scheduling of high-power flexible interconnected distributed generation based on genetic algorithm
- Forecasting Thermal Energy Demand: A Multimodal Approach Using Random Forest and SARIMA Models
- Real Time Health Monitoring System using IoT
- Comprehensive Emergency Vehicle Signaling Through 5G-Enhanced V2X Technologies
- Comparative Analysis of Various Machine Learning Classifiers Applied for Genetic Disorder Prediction with Explainable AI
- Deep Learning-Based Anomaly Detection and Multi-Label Classification for the Analysis of Chest Radiographs
- Fabrication of Organic Light Emitting Diode for Display and Lighting Solutions
- Developing a MAMBA-Neural Radiance Fields Model for Accurate and Efficient 3D X-Ray Image Reconstruction
- Dynamic Channel Allocation Algorithms and Spectrum Resource Management Optimization in 6G Networks
- Palpation Alters Auditory Pain Expressions with Gender-Specific Variations in Robopatients
- Adaptive Channel Sensing And Precoding In Relay-Based Massive MIMO: A Deep Reinforcement Learning Approach
- Dynamic 3D Reconstruction of Single-Frame Composite Fringe Pattern Projection Based on ToF Fusion
- Leveraging Multimodal Vision-Language Models for the Visually Impaired
- Lightweight Cryptographic Scheme for Resource-Constrained Internet of Things Devices
- Statistical Evaluation of Reaction and Movement Times in Pneumatic Systems for Sequential Control Optimization
- Voice E-Mailer System with Face Recognition using Machine Learning Techniques
