NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html A Probabilistic Consistency and Profile-Based Framework for Protein Multiple Sequence Alignment Multiclass Emotion Detection of Bangla Verse Text using NLP and Predictive Machine Learning Models When Three Policies Move at Once: Module Market Evidence for Rooftop Solar Procurement in Bangladesh Ordinal Annotation of Pre-Harvest Rose Maturity in Field Collected Images: Inter-Annotator Reliability and Feature-Space Analysis An Explainable Attention-Based Transformer Framework for Depression Detection Using Social Media Text An Intelligent Wearable Framework for Real-Time Harassment Detection Using Machine Learning An Integrated AI and IoT-Based Advisory System for Sustainable Fish Farming_ A Deployed Platform for Small-Scale Aquaculture Explainable Multimodal Skin Lesion Classification via Supervised Contrastive Learning and Attention-Based Fusion LLM-Assisted Service Migration and Resource Allocation for Dynamic Cloud-Edge Computing TEDM-X: Transformer-Embedded Dirichlet Mixture Topic Discovery for Automatic and Interpretable Text Clustering An Explainable and Robust Machine Learning Framework for IoT Intrusion Detection through Zero-Day and Cross-Dataset Evaluation A Synchronization-Aware Deep Reinforcement Learning Framework for QoE-Optimized Mulsemedia Streaming ThyroNet-XAI: An Explainable Multimodal Framework for Thyroid Cancer Analysis Using Clinical and Ultrasound Data A Hybrid EfficientNetB0–XGBoost Framework for Betel Leaf Health Classification Using Field Images ResQWatch: A Bluetooth-Enabled App Based Wearable GPS-Aware Extension for Rapid Emergency Trigger and Automated Police Dispatch. AMIGO: An IoT-Enabled Autonomous Mobile Robot for RFID-Verified Hospital Medicine Delivery with Cloud-Integrated Fleet Monitoring Dual-Attention ResNet50-LSTM for Video-Based Human Action Recognition Remote Sensing Imagery for Crop Yield Prediction Using Confidence-Weighted Ensemble Model with Explainable AI Solar Power Prediction using Meta-Residual Booster with Explainable AI Cross-Generational Transportability of Cognitive Risk Models: A SHAP-Based Analysis from Aging Adults to University Students A Memory-Efficient Bi-GRU Based Intrusion Detection System with Attention and Probability Calibration for Uncertainty Estimation Synthetic Data Augmentation for Bangla Hate Speech Detection Using Slot-Based Semantic Extraction Explainable AI Based Dual-Domain Deep Network for Brain Tumor Classification BanglaCLR: Structure-Aware Contrastive Representation Learning for Bengali Character Recognition Self-Supervised Learning for Brain MRI Classification using Machine Learning Poultry Farm Micro-Climate Controller Evaluating Arterial Network Resilience Post-Mass Transit Integration: A Hybrid Simulation and Empirical Corridor Study HemaStack: Harnessing Heterogeneous Stacking with Neural Meta-Learning and Dual Explainability for Cost-Effective Dengue Diagnosis BreastSegX: A Pipeline for High-Fidelity Breast Ultrasound Lesion Segmentation A Three-Layer Behavioral Authentication Architecture for Resource-Constrained Embedded Devices: Design and Simulation-Based Feasibility Study IoT-Based Low-Cost Intelligent Air-Quality Monitoring and Self-Calibrated Autonomous Purification System Leakage-Aware Ordinal Prequential Forecasting of District-Level Conflict Severity in Bangladesh A Lightweight Knowledge-Distilled CNN for Real-Time Waste Classification on Edge Devices A Tabular Transformer-Based Deep Learning Framework for Flood Prediction Using Long-Term Meteorological Data from Bangladesh Automated Eggplant Disease Detection Using Feature Fusion Based CNN with Explainable AI for Precision Agriculture EAM-XAI: Auditing Malware-Identifier Overlap with a Hybrid Behavioral–Retrieval Framework Fruits Classification Using a Custom Dataset and Ensemble CNN Models with Real-Time Web-Based Deployment A Lightweight Plasma Cell Detection Framework with Knowledge Distillation Based Feature Refinement for Multiple Myeloma Diagnosis An End-to-End Deep Learning Framework for Animal Classification with Ensemble CNNs and Web Deployment 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 NPS Australia Submission System