This case study examines the international expansion strategy of Dulal Brothers Ltd. (DBL) Group, a leading Bangladeshi garment manufacturer, through its investment in Ethiopia. Using Dunning’s Eclectic Paradigm as the ...

This thesis presents a deep learning framework for automated segmentation of bilateral lungs and pulmonary nodules from CT scans to support early lung cancer detection. A U-Net model with a ResNet-18 backbone was developed ...

This study investigates the exposure of schools in Bangladesh to air pollution caused by nearby brick kilns, a major contributor to PM2.5 pollution. Using satellite imagery, deep learning, and GIS-based spatial analysis, ...

Accurate water-level forecasting plays a crucial role in proper water resource management, flood control and agricultural planning especially in climate sensitive areas like Bangladesh. Nonlinear interactions and dynamic ...

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 ...