NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html NPS Australia Submission System LAUC-RiskNet: Leakage-Aware and Interpretable Learning for Rule-Driven Mental-Health Labels Evaluating Arterial Network Resilience Post-Mass Transit Integration: A Hybrid Simulation and Empirical Corridor Study Quantum-Resilient Self-Healing Cybersecurity Architecture for IoT-Enabled Smart Grids Using Federated Intelligence and Digital Twins Novel Attacks Arrive Diffuse: Rethinking Few-Shot Open-Set Enrollment for ROS Intrusion Detection Interface-Dependent Current and Voltage Losses in a Lead-Free ZnSe/FASnI3/Cu2O Perovskite Solar Cell: A SCAPS-1D Study Calibrated Federated Intrusion Detection for Drone Swarms under Non-IID Feature Skew HemaStack: Harnessing Heterogeneous Stacking with Neural Meta-Learning and Dual Explainability for Cost-Effective Dengue Diagnosis A Noble Technique of Patient Data Handling for Bangladesh. RSANet: An Advance in Oral Cancer Prediction using Residual Network with Soft-Attention Mechanism BCViT++: Locality-Aware Large-Kernel Vision Transformer for Breast Cancer Histopathology Classification MVPR-PF: A Multi-View Peptide Representation and Probability Fusion Framework for Anticancer Peptide Prediction Design of an Intelligent Solar-IoT Irrigation System for Sustainable Agriculture An Explainable Machine Learning Framework for Cyberbullying Detection in Social Media Comments: Hybrid Lexical–Sublexical Modeling with Global and Local Explanations ARIS: An IoT–Digital Twin Architecture for AI-Assisted Adaptive Management of Fragile Island Tourism Ecosystems Exploiting Federated Learning Approach for Efficient Bandwidth Utilization in IoT-Based Surveillance System AI-Powered Smart Clothing Management System Hierarchical MLP for EEG- Based Decoding of Cognitive Load in Multi-Level n-Back Tasks 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 An Integrated Edge AI and IoT System for Quality Control, Waste Reduction and Predictive Maintenance in Small-Scale Food Processing AgroConv-Eff: A Hybrid ConvNeXt–EfficientNetV2 Architecture with Adaptive Feature Gating for Multi-Crop Plant Disease Detection A Tabular Transformer-Based Deep Learning Framework for Flood Prediction Using Long-Term Meteorological Data from Bangladesh Transformer Guardian 360: An IoT-Based Multi Parameter Condition Monitoring System for Distribution Transformers A Low-Cost Embedded Data Acquisition System For Concrete RCP Test 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 Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features Secure Medical Image Communication using ECC-based Hybrid ROI-Aware Chaotic Cryptograpy 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 Enhanced CBAM-LMSPNet: A Lightweight CNN with Learnable Multi-Scale Pooling for Apple Leaf Disease Classification Forecasting Independent Evolution Possibilities of Code Clones Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense Toward Trustworthy Stroke Risk Prediction: A Balanced, Explainable and Externally Validated Machine Learning Framework 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 A Systematic Review and Cross-Domain Taxonomy of Emerging Cybersecurity Threats and Zero-Trust-Based Defence Architectures