NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html Robust Federated IIoT Intrusion Detection Under Byzantine Label-Poisoning Attacks: Class-Wise and Client-Wise Analysis on DataSense Predictive Uncertainty for Mammography Classification Failure Detection: Limited Incremental Value of Saliency-Map Instability Supercapacitor-Based Energy Storage for Residential PV Applications: A Quantitative Comparative Study Towards Interpretable Legendary Pokémon Classification: A Comparative Evaluation of Machine Learning Models and Explainable AI A Class-Wise Error and Misclassification Analysis of Deep Learning Models for Industrial IoT Intrusion Detection Binary and Multiclass Intrusion Detection in IoMT Networks: Comparative Machine Learning with McNemar Testing and XAI Belief-State Q-Learning for Dynamic Channel Selection in Cognitive Radio Networks: A Simulation Study CNN-Based Automatic Modulation Classification for Cognitive Radio: Benchmarking Against Fourth- Order-Cumulant Feature Classification Empirical Assessment of CSS Techniques: Efficiency, Reliability, and Throughput Trade-offs A Lightweight Geospartial Framework for Monsoon Flood Risk Stratification in Rohingya Refugee Camps: Temporal, Spatial, and External Validation Elevation Thresholds for Monsoon Flood Risk Stratification in Rohingya Refugee Camps: A Validated Observational Study Maximum Power Point Tracking Techniques for Solar PV Systems: Performance Analysis of Different Control Strategies Sustainable Power Supply for Cellular Base Transceiver Stations Using Solar PV–Battery Systems Curvature-Regularized Graph Tractography for Reproducible Multi-Site Diffusion MRI Connectomes CQI Prediction in 5G Networks Using a Mobility-Aware Random Forest Model Statistically Validated Benchmarking of Federated Learning Optimizers for Binary Intrusion Detection in Imbalanced IoMT Traffic Physical Layer Security Analysis of RIS-assisted Hybrid FSO/RF Networks for Secure IoT Communications under Potential Eavesdropping Attacks Noise-Aware Magnetic-Valve-Based Voltage Transformer Design for Reliable Voltage Measurement An Interpretable Deep Learning Framework for Diabetic Foot Ulcer Classification Using Multi Optimizer Training and Genetic Algorithm Selection Cost–Reliability Optimization of Marine-Integrated Hybrid Renewable Energy Systems for Kutubdia When Technostress Drains and Autonomy Protects: How Organizational Support Sustains Employee Well-Being in Hybrid Work Comparative Analysis of Resource-efficient Benchmarking and Observation of Neural and Machine learning models with Emission evaluation for Diagnostic datasets Aqua Monitor: A Decoupled LoRa-to-Cloud IoT Architecture for Low-Cost Multi-Pond Water Quality Monitoring Enhanced Climate Forecasting in Northeastern Bangladesh using Hybrid SARIMA-ANN Models A Comprehensive Structural Analysis of Zero-Day Attack Detection: Machine Learning Paradigms, Performance Trends, and Open Research Challenges Investigation of Electromagnetic Energy Absorption and Thermal Response of Layered Biological Tissues Infrastructure-Independent Smart Medication Alert System with GSM-Based Caregiver Escalation and Non-Blocking Acknowledgment A Machine Learning-Based Framework for Detection and Classification of Spam and Malicious Textual Content on X Using Large-Scale Social Media Data DRIG-Net: A Dynamic Renewable Interaction Graph Framework for Latent Operating State Analysis Global AI Governance Without the Giants: Market Access as Middle-Power Leverage IoT-Driven Refreshable Braille Architecture Utilizing Vision-Based OCR and Cloud Storage LLM Web Agent Security for Indirect Prompt Injection Analysis through Action-Level Evaluation Explainable AI Based Parkinson’s Disease Detection From Voice Data Using Machine Learning Universe Analytics: A Dynamic University Ranking Platform Through Real-Time Interactive Analysis Web-based Explainable Deep Learning Framework for Skin Disease Detection FedPdM: Privacy-Preserving Federated Learning for Remaining Useful Life Prediction Across Heterogeneous Industrial Systems Predicting Solar PV Power Under Real-World Conditions: A Comparative Evaluation of Interpretable Machine Learning Models A FEATURE-INTEGRATED MACHINE LEARNING FRAMEWORK FOR LYSINE PTM SITE CLASSIFICATION A Dual-Branch Framework for Livestock Disease Screening Using Multi-Repository Visual Datasets and Symptom-Based Intelligence A Lightweight Knowledge-Distilled CNN for Real-Time Waste Classification on Edge Devices Deep Learning-Driven Detection of Temporal Lobe Seizures Using EEG Signals Complexity-Aware Explainable Deep Learning for Skin Cancer Classification: A Dynamic Explanation Selector for Adaptive XAI on Dermoscopic Images URL-Only Phishing Detection Based on Structural and Character-Level Lexical Fusion Using TF-IDF and LightGBM An AI-Enhanced Four-Class Stacking Ensemble Framework for Explainable Income Tax Fraud Detection Using Calibrated NBR IT-10B Structure ASD-Predict: A Multi-class Explainable Autism Disorder Severity Prediction Using LightGBM and SMOTE An Explainable ML Framework for Five Customs Fraud Type Predictions Using XGBoost and SMOTE-Based Class Balancing Brain Tumor MRI Classification Using Hybrid Model X-STREAM-IDS: An Explainable Streaming-Aware Deep Learning based Intrusion Detection System for IoT A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality NPS Australia Submission System