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Cost–Reliability Optimization of Marine-Integrated Hybrid Renewable Energy Systems for Kutubdia IOT based Over and Under Voltage Protection for Automated Silo Storage System Using LOGO PLC Technical Assessment of Electric Three-Wheeler Growth, Solar-based Charging and Grid Impacts A Coupled Index Machine Learning Optimization Framework for River Water Quality Assessment and Control: The Halda River, Bangladesh View-Aware Reliability Framework for Pneumonia Diagnosis with Calibration Portability, Selective Risk, and XAI Auditing NPS Australia Submission System International Participant Efficient Serial RAG Engine for Offline Math Education A Decentralized and Privacy-Adaptive Ride-Sharing Framework Using Blockchain and Differential Privacy Leveraging AI-Driven Cloud Computing for Advanced Health Prediction Models A Hybrid RAK Ensemble Model for Reliable ECG Based Arrhythmia Classification Multi-class Lung Disease Diagnosis Using Chest X-Ray with XAI A Closed-Loop Supply Chain Model for End-of-Life Electronics under Carbon Tax Policy RSMS: A FreeRTOS-Based Priority-Scheduled Architecture for Real-Time Multi-Hazard Detection Using Queue-Driven Task Communication and Bluetooth Alerting A Probabilistic Short-Term Load Forecasting with Conditional Diffusion and Split-Conformal Calibration Across Different Aggregation Levels ViT-Sign: An Explainable Vision Transformer for Sign Language Recognition When Humor Hides Harm: A Fusion-Based Approach to Decoding Sentiment in Bengali Memes Clustering-Based Undersampling Using K-Means for Class-Imbalanced Data Privacy-Preserving Federated Learning for ICU Mortality Prediction in Hypotensive Patients: Differentially Private Federated Learning with a Personalization Ablation Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense SAFER-RAG: Explainable and Calibrated Hallucination Detection with Selective Prediction under Distribution Shift Novel Attacks Arrive Diffuse: Rethinking Few-Shot Open-Set Enrollment for ROS Intrusion Detection IETS-Stroke: An Imbalance-Aware, Explainable, and Threshold-Tuned Stacking Framework for Stroke Risk Screening with Cross-Dataset Validation What Fairness Changes in Synthetic Data? A Controlled Audit A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality Belief-State Q-Learning for Dynamic Channel Selection in Cognitive Radio Networks: A Simulation Study Empirical Assessment of CSS Techniques: Efficiency, Reliability, and Throughput Trade-offs Machine Learning Approaches to Child Malnutrition Prediction in Bangladesh: A Dual-Round BDHS Analysis with Concept Drift Detection and Web-Based Screening Test Paper by Rashed Who did the Thinking? A cognitive-control conceptual framework for student-GenAI interaction in assessed ICT tasks Adaptive Extended Kalman Filtering with LSTM-Based Signal Quality Assessment for GNSS Precise Point Positioning