NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html NPS Australia Submission System A Lightweight Plasma Cell Detection Framework with Knowledge Distillation Based Feature Refinement for Multiple Myeloma Diagnosis Leveraging AI-Driven Cloud Computing for Advanced Health Prediction Models Interpretable High-Dimensional Advertisement Classification with Regularized Logistic Regression: A Numerically Stable Framework A Multi-Dataset Deep Learning and Sequential Pattern Mining Framework for Interpretable Disease Progression Tracking in Brain and Liver MRI Secure Medical Image Communication using ECC-based Hybrid ROI-Aware Chaotic Cryptograpy A Tabular Transformer-Based Deep Learning Framework for Flood Prediction Using Long-Term Meteorological Data from Bangladesh Enhanced CBAM-LMSPNet: A Lightweight CNN with Learnable Multi-Scale Pooling for Apple Leaf Disease Classification Transformer Guardian 360: An IoT-Based Multi Parameter Condition Monitoring System for Distribution Transformers Toward Trustworthy Stroke Risk Prediction: A Balanced, Explainable and Externally Validated Machine Learning Framework ARIS: An IoT–Digital Twin Architecture for AI-Assisted Adaptive Management of Fragile Island Tourism Ecosystems A Systematic Review and Cross-Domain Taxonomy of Emerging Cybersecurity Threats and Zero-Trust-Based Defence Architectures Towards Edge Artificial Intelligence for Predicting Antimicrobial Resistance in Mycobacterium tuberculosis IOT based Over and Under Voltage Protection for Automated Silo Storage System Using LOGO PLC An Explainable Transfer Learning Framework Based on EfficientNetB3 for Multi-Class Brain Tumor Classification from MRI Images Deep Learning-Based Ordinal Severity Grading of Mustard Flea Beetle Infestation from Plant Images A Decentralized and Privacy-Adaptive Ride-Sharing Framework Using Blockchain and Differential Privacy LsEyeNet: A Hybrid Deep Feature Fusion Framework for Multi-Class Ophthalmic Disease Recognition from Retinal Fundus Images A Lightweight Hybrid CNN–DBN Framework for Lung Cancer Classification Using CT Images An Explainable Deep Learning Approach for Multi Class Lung Disease Classification from Chest X Rays with Fused GradCAM++ Localization An Integrated Edge AI and IoT System for Quality Control, Waste Reduction and Predictive Maintenance in Small-Scale Food Processing A Low-Cost Embedded Data Acquisition System For Concrete RCP Test AgroConv-Eff: A Hybrid ConvNeXt–EfficientNetV2 Architecture with Adaptive Feature Gating for Multi-Crop Plant Disease Detection Quantum-Resilient Self-Healing Cybersecurity Architecture for IoT-Enabled Smart Grids Using Federated Intelligence and Digital Twins Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features An Empirical Study on the Impact of Authorship on the Bug-proneness of Code Clones Do Climate Shocks Affect Rice Yield in Bangladesh? UGPDA and BDAI: Robust Medical Semi-Supervised Learning Under Varied Labeled Ratios and Class-Imbalance Profiles Optimal Ramp-Rate Control Using Battery Energy Storage Systems (BESS) for Utility-Scale Solar Power Plants in Bangladesh A Comprehensive Benchmark of Recurrent, Convolutional, and Attention-Based Models for Radar Emitter Classification Under Photon-Starved Conditions Forecasting Independent Evolution Possibilities of Code Clones Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense Reputation over Geometry: A Validation-Guided Robust Federated Defense for Imbalanced Drone Intrusion Detection BAGC-FL: Benign-Anchor Gradient Correction for Imbalance-Aware Federated Intrusion Detection in IoMT Networks Lightweight and Explainable AI-Driven Intrusion Detection for IoT Networks: A Resource-Efficient Machine Learning Framework with SHAP-Based Interpretation AI-Enhanced Digital Twin with Hardware-in-the-Loop Deployment for Real-Time Lithium-Ion Battery State-of-Health Estimation ExplainYOLOv11: A Robust and Interpretable YOLOv11 Framework for Real-Time Traffic Sign Detection in Autonomous Vehicles A Hybrid Modified DES–Keccak Cryptographic Framework with Dynamic S-Box Design for Secure Data Confidentiality and Integrity Verification PULSE-ELF: Temporal Channel Learning and Low-Overhead Feedback for Integrated Sensing and Communication in Commodity Wi-Fi Analysis of Various Machine Learning Model Performances for Epilepsy Prediction Paddy Seeds Classification using Machine Learning Models for Public Health Machine Learning Applications in the Classification of Dates Elevating Skin Cancer Diagnosis: A Study of Various Machine Learning Approaches A Comparative Deep Learning Approach: CNN And Hybrid Algorithms For Lung Cancer Classification In Histopathology Images A Closed-Loop Supply Chain Model for End-of-Life Electronics under Carbon Tax Policy Interpretable Short-Term Electricity Demand Forecasting for the PGCB Grid Using Feature Fusion 30-Day-Ahead Load Forecasting for the Rajshahi Zone of the Bangladesh Power System: A Linear-Base Boosted BiLSTM Approach EndoStack-XAI: A Hybrid and Explainable Machine Learning Framework for Endometriosis Prediction Addressing Extensive Missingness in Newspaper-Reported Suicide Data Through Imputation and Clustering Techniques