- Clustering and Predictive Analysis of Renewable Energy’s Influence on National Economies
- Heart Disease Prediction using Feature-Optimized ML and Hybrid Deep Learning Models
- From Formal Models to Learned Dynamics: a Continuous Petri Net–Neural Network Framework for Liver Iron Metabolism
- Active Learning Technologies and Student Motivation in STEM Education
- Comparative Analysis of Ant Colony Optimization and Google OR-Tools for Solving the Open Capacitated Vehicle Routing Problem in Logistics
- Antenna-on-Display with EH 1 -mode Wide Spatial Beam Scanning for User-Centric Sensing and Vehicle-to-Everything Communication
- Artificial Intelligence for Promoting Equity, Diversity, and Inclusion
- Application of Genetic Algorithms in Optimum Design of Control Winding of Controllable Reactor of Transformer Type
- A systematic data preprocessing approach based on Three-Tier architecture: ensuring reproducibility, version control, and use of cleaned data for digital twins in mineral processing
- Towards a Hyperconnected Future: Examining the Architectural Basis, Data Imperatives and Promising Directions of IoT in Computer Networks
- Maximizing Offshore Wind Farm Power Potential Through NBRO-BP-based Yaw Angle Optimal Control
- Improving EEG Signal Classification in Brain-Computer Interfaces via Grey Wolf Optimizer-based Deep Learning
- A Resilient Water Quality Investigation System using Support Vector Machines and Intelligent Feature Engineering
- ENZ-Based High Fidelity Complex-Field Reconstruction
- AI-Driven Automation in Telecom Infrastructure: A Cloud-Native Approach
- Enhancing BIM Process Automation and Traceability through ISO 21597-Based Information Containers
- Deep Learning-based Malware Detection Using Independent Stream Analysis of RGB and Grayscale Images
- Revealing Elite Players in a Sports Network: A Case Study of WTA Players from 2012 to 2021
- Towards Human-Like Behavior Generation by Applying Markov Chain Monte Carlo in Realization of Agential Realism
- AI-Powered Precision Agriculture: Enhancing Crop Yields with Smart Analytics
- QoE-aware ML models based on network parameters for video streaming over 5G O-RAN architecture
- Online Service Selection and Task Offloading in UAV-assisted MEC via Deep Reinforcement Learning
- High-Performance DC-DC Power Converter with Fuzzy Logic Control for Microgrid Applications
- Large Language Models for Telecom NLP: A Task-Oriented Survey
- From Traditional Database to Self-Tuning Database: A Paradigm Shift in Database Management
- Intelligence for Sale
- HMAMRL: Multicriterion Flexible Coordinated Control for Coal-Fired Power Generation Systems under Wide Load Operation
- Time-Constrained Consensus With Reduced Agent Interactions for Matrix-Scaled Networks
- Modeling Transportation Planning and Packing Problem for Delivery Service Provider
- Usability and Customer Experience Driving E-CRM Success for Digital Platforms
- Voluntary Eye Blink and SSVEP-Based Selective Attention Interface for XR User Authentication: An Explainable Neural Decoding and Machine Learning Approach to Reducing Visual Fatigue
- Research on the Mesoscopic Range Based on the Effect of Terrains on Lightning Distribution
- Control of Subpopulation Fractions in a Population of Bistable Cells
- Implementation of an Automatic Calibration System Based on the Error Correction Model in a Water Quality Meter Module
- Design and Development of Permanent Magnet Wall-Climbing Robot for Ferromagnetic Surface Visual Inspection
- Revealing Directions for Text-guided 3D Face Editing
- A Multi-Agent Collaborative Approach and System for Industy-Specific Question Answering Tasks
- REAL: Robust EEG Analysis and Labeling for Chronic Migraine Patients Amidst Label Noises
- Stability and Transparency in Mixed Reality Bilateral Human Teleoperation
- Design and Implementation of Universal Asynchronous Receiver/Transmitter (UART): A Review
- Artificial Intelligence Based Multiport Converter For Seamless Integration Of Hybrid Energy Sources
- Comprehensive Email Spam Detection Using Large Language Models: Exploring the Limits of LLM-Based and Traditional Methods
- In the Context of Staircase Carbon Trading, Integrated Energy Optimization Scheduling Considering Two-Stage P2G-CCS
- Improved Distribution Difference Driven Diffusion Generative Method for AMOSR
- Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning
- Representation Learning for Latent Disease Identification based on the Multidimensional Hesitant Fuzzy xLSTM Network
- Reliable Data Serving for Data-Driven Decision-Making in Radio Networks: A Data-Centric Approach to Stream Quality Validation
- Cost-Efficient AI-based Wearable Device for Real-Time Monitoring and Analysis
- Optimizing Funding and Networks for MSME Success A Quantitative Analysis in Bekasi
- Enhancing Oral Cancer Diagnosis through Attention Mechanisms and Explainable AI: A VGG-19 with CBAM Integration
- A Compact Current-Reusing 6-mW 66-92 GHz Frequency Quadrupler With 5% Peak Power Added Efficiency and >36 dBc Harmonic Rejection in 22-nm FDSOI CMOS
- Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack
- Optimizing Sustainable Interior Design Using Artificial Intelligence and Greenship Certification
- Ensemble Transformers for Arabic Medical Text Classification
- CLOVER: Context-Aware Long-Term Object Viewpoint- and Environment- Invariant Representation Learning
- DCAF: Dynamic Cross-Attention Feature Fusion from Robotic Anomaly Detection to Position Accuracy Modeling
- Investigation of Deep Learning based Lung Cancer Detection using Histopathological Images
- A Digital Twin application for an assembly/disassembly flexible robotic cell assisted by ABB IRB 120 robotic manipulator generating the optimal trajectory for the smallest errors using RobotStudio
- Cryptocurrency Price Prediction Using a Hybrid Deep Learning Approach: Integrating CNN and Random Forest for Enhanced Forecasting
- Faculty-Centric Adoption of AI-Enhanced E-Learning Platforms in Higher Education: A Customized Technology Acceptance Model (CTAM) Approach
- Real-Time Water Quality Monitoring on a Virtual Reality Platform as a Climate Action Support System
- AMON-Net: Integrating Graph Attention and Modularity Refinement for Community Detection in Complex Networks
- Classification of Plant Disease Pests Based on Smart Edge Devices Using Deep Learning Methods
- An Autoencoder and Double Random Forest-Based Intrusion Detection System for Unknown Attack Defense
- Efficient Tunable THz wave Generation using Spectral Shaping in Electro-Optic Combs
- LetheVR: A First-Person Serious Game for Empathy and Public Understanding of Dementia
- The Ember Convergence Coefficient (ECC): A Proposed Statistical Framework for Evaluating Deep Learning Models
- Lightweight Low-Light Image Enhancement Techniques for Edge Devices
- 6-DoF Grasping Pose Generation Based on Two-Stage Keypoint Regression
- Analysing Impact of Internship on Career Readiness – A Deep Learning Framework Approach
- An Navigation System Design for a Mobile Platform with Double Distinct Motion Modes
- Energy Demand Forecasting for EVs using Block Chain based Data Integrity
- A Deep Generative Recognition Framework for Low-Quality and Partial Fingerprints
- An Adaptive Multi-Agent LLM-Based Clinical Decision Support System Integrating Biomedical RAG and Web Intelligence
- Smart Agriculture System: IoT-Based Crop Health Monitoring and Analysis
- A Dominant Color Extraction from Images/Videos for Mobile Devices
- Diagnosis of Bearing Failure in BLDC Motors with Machine Learning Method
- Feature Importance Guided Network With Missing Value Learning for Pneumonia Pathogen Classification and Biomarker Discovery
- Increasing Energy Efficiency in Canada: Highspeed Rail in the Montreal Toronto Corridor
- Optimizing Network Simulation of Cardiac Electrical Dynamics
- DISHIC: an Effective Method for Identifying Differential Interaction in Single-Cell Hi-C
- Optimization of SSD MobileNet Model for Road Damage Detection System Using Grid Search Hyperparameter Tuning
- Automatic Identification of Tumor in 3D Brain Magnetic Resonance Images using U-Net
- High spatial resolution distributed Brillouin measurements at cryogenic temperatures
- Autonomous Tracked Vehicles Operating in Cluttered and Unknown Environments: A Networked Set-Theoretic Receding Horizon Control Strategy
- Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition
- A General Neural-Network Decoder for Error-Correcting Codes
- SCOUT: Spatiotemporal Coverage for Optimal Unmanned Tasking
- Incorporating Data-Driven Uncertainty Set into Hybrid Microgrids with High Renewable Energy Penetration and Bi-Directional Converters
- IoT-Based Water Quality Monitoring System
- Automated Detection and Classification of Necrotizing Fasciitis in Patient Affected Area Images using YOLO v9
- Learner Behavior Modeling Framework through Socio-Cognitive Features in eLearning Environment
- Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM)
- The impact of MES on OEE on Smart Manufacturing in Industry 4.0
- Large Language Models for Mental Health Counselling
- Extraction of Switch Information from Railway Signal Layout Drawing Based on Deep Learning
- Graph-Based ECG Classification for Cardiac Arrhythmia Detection Using Graph Convolutional Networks
- RIS-Assisted Space-Shift Keying with Non-Ideal Transceivers and Greedy Detection
- Industry 5.0: Advancing a Research Agenda at the Intersection of Sustainability and Human-Centricity Enabled through Technology
- Performance Analysis of Vision-Language Pre-Training Models on Unbiased VQA Tasks