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Approach AI-Driven Resume Classification and Job Recommendation System AI-Driven Resume Classification and Job Recommendation System A Memory-Efficient Bi-GRU Based Intrusion Detection System with Attention and Probability Calibration for Uncertainty Estimation On-Device Plant Disease Detection with CNN and Random Forest Ensembles Multi-Granularity Self-Consistency Entropy for Large Language Model Hallucination Detection: Informative Insights Across Fabrication-Prone and Refusal-Prone Model Regimes Development of a Real-Time Fall Detection Prototype with Transition Dynamics Using an IR Camera and IoT Alert System Sine Cosine Algorithm-Based Proportional-Integral Controller for Low Voltage Ride Through Enhancement in Grid-Connected Photovoltaic Systems A Bangla Speech Dataset for Sentence Type and Emotion Classification Using Traditional Machine Learning 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 An Intelligent Hybrid Framework Integrating PERT/CPM, COCOMO, SLIM, Machine Learning, and Multi-Agent Systems for Software Project Schedule Planning and Risk Prediction Low-Cost Embedded Stereo Depth Estimation Using Dual ESP32-CAM Modules for Robotics Applications Enhanced Dental Caries Localization in Intraoral Photographs Through Hierarchical Feature Learning and Multi-Scale Fusion New paper by Rashed Multi-Dataset Dermatological Lesion Classification via Self-Supervised Feature Extraction and Attention-Driven Hybrid Resampling Networks KishiNet: A Lightweight Hybrid CNN–Transformer Architecture with an Attention and Out-of-Distribution Rejection Mechanism for Explainable Multi-Crop Plant Disease Detection and Mobile Deployment Toward Intelligent Cauliflower Disease Recognition: A CLAHE-Enhanced Image Processing and SVM-Based Classification Framework Unified Risk Stratification for Postpartum Depression, Anxiety, and Birth Trauma Amar Surokha: An Integrated Mobile Application for Spatiotemporal Crime Prediction and Emergency Contact Management Explainable Deep Learning-Based Breast Cancer Classification Using Histopathological Images: A Comparative Study of CNN and Vision Transformer Architectures A Lightweight Hybrid CNN-Transformer Architecture for Interpretable Evil Twin Attack Detection in Wi-Fi Networks