NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html A Modular Distributed IoT Architecture for Closed-Loop Hydroponic Monitoring and Control with Image-Based Plant Observation Bridging the Gap: Using Symbolic Language as a Prompt Between Human Emotion and Machine Logic* Token Smuggling and Log Injection in Open-Source AI Coding Assistants: A Case Study Do Macroeconomic Predictors Improve Bangladesh Inflation Forecasts? A Leakage-Safe Econometric and Machine-Learning Evaluation, 2010-2025 Abstract- This study evaluates whether lagged macroeconomic indicators improve Leveraging AI-Driven Cloud Computing for Advanced Health Prediction Models An Intelligent Wearable Framework for Real-Time Harassment Detection Using Machine Learning Real-Time Plant Disease Classification and Targeted Remedial Strategies Using Few-Shot Learning in Mobile Applications A Phase-Wise Machine Learning-based Performance Evaluation in Flight Simulation Training A Multimodal Framework for Bangla Fake News Classification through Cross-Attention Fusion Pooled and Compromised: A Leakage Audit of a Popular MRI Benchmark AgriSemNet: A Semantic-Aware Hybrid Deep Learning and Knowledge Graph Architecture for Precision Crop Recommendation A Gender-focused Multi-level Data Analysis and Visualization of Academic Research and Collaboration in Bangladesh Rice Leaf Disease Classification Using Fine-Tuned ResNet152V2: Benchmarking CNN Models EndoStack-XAI: A Hybrid and Explainable Machine Learning Framework for Endometriosis Prediction SAFER-RAG: Explainable and Calibrated Hallucination Detection with Selective Prediction under Distribution Shift Reference-Conditioned Healthy-Like EEG Reconstruction Using Movement-Aware CycleGAN for Motor Imagery BCI Explainable Lightweight Deep Learning for Plant Leaf Disease Detection Using MobileNet and Grad-CAM A Super-Convergent Knowledge Distillation Framework for Domain-Specific Text Classification An Explainable AI-Based Framework for Cardiovascular Disease Detection and Risk Prediction Using Machine Learning A Leakage-Aware Ordinal Machine Learning and Explainable AI Framework for Hidden Replication, Label Ambiguity, and Performance Inflation in Maternal Health Risk Prediction SCAPS-1D Modeling and Multi-Parameter Optimization of a CABTSe/MASnI3 DoubleAbsorber Lead-Free Solar Cell Few-Shot Hybrid Time-Series and Large Language Model Framework for Air-Leak Fault Diagnosis in Pressurized Pneumatic Systems ESP32-Based Smart Fire and Gas Hazard Detection with Multi-Channel Alert Mechanisms for High-Risk Urban Buildings Policy-Driven Deep Learning Framework for Facial Age Verification in Senior Citizen Welfare Programs Serial RAG Engine for Memory-Efficient Offline Math Learning A Domain-Invariant Multi-Scale Graph Temporal Learning for Cross-Environment Wi-Fi Deauthentication Detection A Lightweight Hybrid CNN-Transformer Architecture for Interpretable Evil Twin Attack Detection in Wi-Fi Networks On-Device Plant Disease Detection with CNN and Random Forest Ensembles A Large-Scale Performance Evaluation of ML-Based and Deep-Neural Models in Evil Twin Attack Identification Using a Hybrid IEEE 802.11 Dataset Comparative Techno-Economic Analysis of Si, GaAs, and InGaN Thin-Film Solar Cells under Bangladesh’s Climatic Conditions Test Paper by Rashed Amar Surokha: An Integrated Mobile Application for Spatiotemporal Crime Prediction and Emergency Contact Management 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 A Dual-Branch Framework for Livestock Disease Screening Using Multi-Repository Visual Datasets and Symptom-Based Intelligence An Explainable AI-Driven Deep Adaptive Learning Framework for Breast Cancer Classification Using Histopathology Images Explainable Hybrid Feature Fusion Network for Automated Skin Cancer Detection from Dermoscopic Images Water Quality and Environment Suitability Feedback System for Local Fish Farming: A Fuzzy Logic-Based Approach Computer Vision-based Soil Health Analysis using Machine Learning BriXNet: Efficient Depthwise-Separable CNN for Lightweight Brain Stroke Classification from CT Images Chi-Square Feature Selection and SMOTE-Balanced Ensemble Learning for Explainable Cervical Cancer Risk Prediction An Optimizing MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning Explainable Deep Learning-Based Breast Cancer Classification Using Histopathological Images: A Comparative Study of CNN and Vision Transformer Architectures HemaVision: EfficientNetV2 and CBAM-Based Explainable AI for Morphological White Blood Cell Classification and Clinical decision Support A Hybrid Rule-Augmented Stacked Ensemble Framework for Market Basket Completion with Leak-Free Customer History A Source-Grounded Multimodal Edge-Agent Framework for Inclusive Digital Service Access in Bangladesh NORA: A Multimodal Edge-AI Framework for Offline Context-Aware Intelligent Assistance Explainable Machine Learning for IoMT Intrusion Detection: A Comparative Benchmark of PySpark and Scikit-learn NPS Australia Submission System