NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html From First-Come-First-Served to EEVDF: An Empirical Survey of CPU Scheduling Using Google Borg Cluster Traces Reducing Perishable Food Loss Through Forecast-Driven Stochastic Capacity Planning: Quantifying Value, Scalability, and Transfer Under Supply-Side Uncertainty Multihead Attention Based CNN BiLSTM for Aquatic Plant Classification Performance and Explainability of Modern Deep Learning Models for Brain Tumor MRI Segmentation Time-Aware Explainable Machine Learning for CO2 Emission Analysis in Bangladesh: Decoupling, Decomposition, and 2030 Scenarios Multi-Class Brain Tumor MRI Classification Using EfficientNet Based Hybrid Attention Network Machine Learning-Assisted Confinement Loss Prediction for a Highly Sensitive PCF-SPR Sensor A Hybrid Multi-Backbone Deep Learning Framework with Learnable Attention Fusion for Explainable Potato Leaf Disease Detection Banana Leaf Disease Classification Using Explainable Deep Learning For Farmer-Oriented Advisory System An Intelligent Multi-Scale Lesion Attention Transformer Framework with Retrieval-Augmented Farmer Guidance for Onion Leaf Disease Diagnosis Physical Layer Security Analysis of RIS-assisted Hybrid FSO/RF Networks for Secure IoT Communications under Potential Eavesdropping Attacks A Modular Distributed IoT Architecture for Closed-Loop Hydroponic Monitoring and Control with Image-Based Plant Observation Design and Development of a Low-Cost IoT-Based Smart Kitchen Safety and Automation System TinyML Powered Real Time Rotating Machinery Fault Detection Using Vibration Spectral Analysis on ESP32 An Android-Assisted Accurate Transfer Learning Framework for Alzheimer’s Disease Diagnosis Analysis and Prediction of Digital Distractions’ Impact on Academic Performance in Online Learning Using Machine Learning SimSighs: Benchmarking and Explaining Transformer Models for Bengali Telecom Complaints Retrieval-Augmented Legal Question Answering Using Hybrid Semantic Search Why Fixed-Weight Fusion Fails: A Non-Circular Evaluation of LSTM–DBSCAN–XGBoost for Predictive Maintenance Calibrated and Explainable Credit Risk Assessment: Integrating SHAP Analysis with Feature Stability Validation A Leakage-Free ML Framework for Cycle-Count Prioritization in Multi-Depot Distribution Networks Confidence-Aware Retrieval-Augmented Generation with Abstention for Cyber Threat Intelligence Design and Implementation of a Resilient Multi-Branch WAN for Sonali Bank PLC: EIGRP Routing, Dual-ISP Redundancy, and Hierarchical IP Addressing GAN-Driven Synthetic Financial Data Generation: Ensuring Privacy and Statistical Fidelity for Fraud Detection and AI Applications A Comprehensive Structural Analysis of Zero-Day Attack Detection: Machine Learning Paradigms, Performance Trends, and Open Research Challenges An Explainable AI-Powered Performance Weighted Ensemble Deep Learning System for Classifying MRI Brain Tumours Renewable-Powered EV Charging Stations: A Structured Review of Global Technologies, Challenges, and a Sustainable Deployment Roadmap for Bangladesh Vehicle-to-Grid for Renewable Energy Integration in Bangladesh: A Degradation-Aware Critical Review and Future Research Framework Rice Based Agrivoltaics in Northern Bangladesh: A Structured Evidence Synthesis and a Simulation Ready Design Framework for Fixed Tilt Bifacial Systems Techno-Economic Assessment of Fixed-Tilt Bifacial Agrivoltaic Systems for BRRI dhan33 Rice Cultivation in Northern Bangladesh: A Simulation-Based Approach Toward Intelligent Cauliflower Disease Recognition: A CLAHE-Enhanced Image Processing and SVM-Based Classification Framework Calibration-Safe Heterogeneous-Rank Federated LoRA: A Multi-Backbone Equivalence Study with a Lossless SVD-Merge Aggregator Green Guard: A Convolutional Neural Network Based Desktop Application for Automated Crop Leaf Disease Detection and Advisory Multi-Scale CBAM Fusion Network: A Lightweight and Explainable Deep Learning Approach for Acute Lymphoblastic Leukemia Detection from Blood Smear Images. Enhanced CBAM-LMSPNet: A Lightweight CNN with Learnable Multi-Scale Pooling for Apple Leaf Disease Classification A Probabilistic Short-Term Load Forecasting with Conditional Diffusion and Split-Conformal Calibration Across Different Aggregation Levels Mental Health Classification from Social Media Data in Banglish using Transformer-Based Multi-Task Learning and Explainable AI SafeNet-Guard: A Secure Reporting Platform for Technology-Facilitated Harassment with Evidence Integrity and Duress Signaling A District-Level Regional Planning Framework for CCUS Deployment in Bangladesh: Spatial Decision Support Approach Simulating Edge AI Interventions: An HCI Proof-of-Concept for Dynamic AR-HUD Decluttering Based on Physiological Monitoring Federated Deep Learning for Bidirectional English and American Sign Language Translation Across Distributed Deaf Communities Ink Meets Intelligence: A Computer Vision Based Approach for Bengali Handwritten Character Recognition Weather-Aware and Perception-Driven Digital Twin for Urban Robot Navigation From Messages to Malicious Links: Joint Spam and Phishing Detection via Cross-Attentive Multimodal Learning Beyond Centralized Learning: Privacy-Preserving Federated Learning for Explainable Brain Tumor MRI Classification Handwritten Prescription Recognition Through Transfer Learning Models Evaluation Under Multiple Dataset Partitions LiteDR-XAI: A Lightweight and Explainable Framework for Referable Diabetic Retinopathy Screening Anchor-Free vs. Anchor-Based Detectors for Multi-Scale Thermal Anomaly Detection in Solar PV Fields: An Empirical Study A Context-Aware XGBoost Framework for Vulnerability Remediation Recommendation Using GitHub Security Advisories NPS Australia Submission System