NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html NPS Australia Submission System Web-based Explainable Machine Learning Model for Early-Stage Heart Disease Detection NPS Australia Submission System IEEE i-COSTE Paper Fees i-COSTE Packages Leveraging Large Language Models to Investigate the Decoy Effect in Route Choice Behavior Modeling Stop–and–Go Wave Dissipation under Partial CAV Penetration using a Multi-Class CTM Real-Time Neural Network Framework for Sub-5 ms Anomaly Detection in NIDS LiteFakeNet: Efficient Deepfake Image Detection with Depthwise Separable Convolutions Predicting Online Delivery Adoption During COVID-19: A Machine Learning Approach Exploring the Research Landscape of DCT-Based Video Steganography: A Systematic Review Adoption of AI-Enabled Robotic Systems for Vital Sign Monitoring: Barriers, Enablers, and Physician Perspectives Factors Influencing Heat Pump COP and SCOP with Defrost Cycles: An Economic Perspective Benchmarking Bengali Dialect Identification: A Comparative Study of Machine Learning, DNN, and Transformer Architectures Security Dilemma in Software Development: a Case Study on Understanding Developer Priorities and Practices in Stack Overflow A Conceptual Framework for the Buying Intention of Energy Efficient LED Bulbs: Evidence from A Developing Country CSDE Profile Test Women-led Social Entrepreneurship in Fostering SDGs: Myth or Reality? A Phenomenological Perspective Stability Enhancement and Harmonic Suppression of a Five-Level Cascaded H-Bridge Inverter for Microgrid Systems using Optimized PI Control Impact of Seasonal Climate Variations on EV Battery Performance and Charging Efficiency in Dhaka, Bangladesh Experimental Investigation of the Impact of Partial Shading Size on Power Losses in Outdoor Solar Modules: Insights from Five Case Studies Optimization and Performance Evaluation of Semi-Transparent Photovoltaic Panels for Sustainable Urban Energy Solutions AI Impact on Sustainable Economy Growth FASHION 4.0: MANAGING THE SHIFT TOWARDS SUSTAINABLE AND DIGITAL FASHION ECOSYSTEMS FedFall: A Federated Transfer Learning Framework for Privacy-Aware Fall Detection in Elderly Care Using IoT-Edge Devices A Multi-Strategy Ensemble Learning Framework for Robust and Scalable Malware Detection in Cybersecurity Accelerated Skin Prick Test (aSPT): A Low-Cost, AI-Guided Allergy Diagnostic System Using Microneedles and Image-Based Severity Scoring Seed Nano-Priming with Silicon-Rich Silica Nanoparticles: A Novel Approach Enhancing Maize Germination and Early Growth Bula Patrol: A Comprehensive Monitoring System for Addressing Taxi Driver Vulnerabilities in Fiji A Multi-Objective Genetic Algorithm-Based Approach for Explainable Healthcare Fraud Detection Ecofiji Explorer: An App to Promote Eco-Tourism and Local Culture Through Digitalization Explainable Hybrid Intrusion Detection: Combining Ensemble Learning and XAI for Transparent Cybersecurity Quantum Threat Defense: A Framework for Migrating IoT-Based Healthcare Systems Data Resilience in Cyber-Physical Systems: Overcoming MQTT Data Loss for Reliable AI Subsystems PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification Autonomous Self-Powered Solar Panel Cleaner Design with Linear Resonant Actuators and Machine Learning Analytical Framework for a Green Room: An Integrated Passive Cooling Approach for Sustainable and Climate Resilient Buildings An Efficient Framework for Suicide Risk Detection Integrating Linguistic and Emotional Features Using Graph Neural Network Amanot-Net: A Resilient Framework for Proactive Threat Neutralization in Unstructured Public Spaces IGNN: An Attentional Graph-Based Approach for Vision Transformer-Empowered Plant Disease Detection An Efficient Attention-based Deep Learning Model for Masked and Unmasked Face Recognition Decentralized Access Control Using Blockchain and Smart Contracts for Enhanced Cybersecurity Hyperparameter-Tuned Logistic Regression for Early-Stage Breast Cancer Prediction using Explainable AI Structured Prompting and Multi-Agent Reasoning for Open-Source Financial Sentiment Analysis Improving Interpretability in Lung Cancer Prediction through Explainable Ensemble Voting Approach An Explainable AI-Based Ensemble Machine Learning Framework for Early-Stage Diabetes Prediction Explainable Ensemble Machine Learning Framework for Accurate Detection of Thyroid Disorders Fast and Memory-Efficient 4SQR-Code Decoding using Histogram Analysis Agentic AI: A Comprehensive Survey of Technologies, Applications, and Societal Implications