Anomaly detection in offshore oil production systems is a safety-critical task, with un-detected faults contributing directly to equipment failures, environmental incidents, and significant production losses. Machine ...

In this case study we first start by determining variable & fixed costs of FARR Ceramics and then figure out breakeven point and output level needed to achieve a target operating income for FARR Ceramics. Then we further ...

This study presents a deep learning framework for recognizing six rare Bangladeshi fruits using image classification. A dataset of 1,800 real-world images was created, and a lightweight Custom CNN was compared with ...

This study proposes an entropy-based framework for depression severity assessment using PHQ-9 responses. Instead of relying only on total questionnaire scores, the system analyzes response patterns using information-theoretic ...

This thesis presents three interconnected AI systems designed to improve medical image analysis and patient support. First, CXR-Adaptive enhances chest X-ray disease detection using YOLOv12 with adaptive augmentation ...