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Late and Early Blight Diseases Identification of Potatoes with a Light Weight Hybrid Transfer Learning Model
(Independent University, Bangladesh, 2023-05)
Potatoes are one of the world’s most important commodities, and leaf maladies such as early and late blight can substantially reduce their yield and quality. Hence, both farmers and researchers must prioritize quick and ...
Genre Classification of Bangla Poem Using Machine Learning and Deep Learning Techniques
(Independent University, Bangladesh, 2023-05)
The computational analysis of the Bangla poems is a challenging task due to the diverse linguistic, stylistic, and semantic features of the Bangla language. In this work, we prepared a dataset of 1311 Bangla poems of two ...
A Deep Learning Approach to Recognize Bangladeshi Shrimp Species
(Independent University, Bangladesh, 2023-07)
Shrimp, the most popular shellfish in Bangladesh, is a good source of protein, minerals, vitamin D, and iodine that promote a healthy body and balanced nutrition. In Bangladesh shrimp is referred to as white gold. It ...
Artificial Intelligence in Software Testing: A Systematic Review
(IEEE Region 10 Technical Conference (TENCON 2023), Thailand, 2023-07)
Software testing is a crucial component of software development. With the increasing complexity of software systems, traditional manual testing methods are becoming less feasible. Artificial Intelligence (AI) has emerged ...
Peering Through the Past: Forensic Analysis of Impression Via Deep Learning
(Independent University, Bangladesh, 2023-08)
Indented writing is a crucial part of forensic science because it can reveal hidden informa- tion and evidence that is invisible to the eye. This is achieved by identifying impressions of the original writing that are ...
Understanding the Dynamics of Dengue in Bangladesh: EDA, Climate Correlation, and Predictive Modeling
(Independent University, Bangladesh, 2023-07)
Dengue, a mosquito-borne viral infection, poses a significant threat, especially in warm, tropical climate countries like Bangladesh, India, Thailand, Malaysia, Laos, etc. This study is solely focused on the dengue data ...
A Baseline Analysis of Cross-Modal Liver Tumor Segmentation and the Role of Frozen Encoder
(IUB, 2026-04)
Accurate liver tumor segmentation is critical for surgical planning, volumetry, and treatment
monitoring across diverse liver pathologies and clinical applications. Both Computed
tomography (CT) and Magnetic resonance ...
OptiHealth: An AI-Driven Health Management System with Multi-Modal Analysis and Personalized Recommendations
(IUB, 2026-04)
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 ...
Deep Learning-Based Stenosis Segmentation in X-ray Angiography: Vision Transformers vs. CNNs
(IUB, 2025-12)
This thesis compares ten deep learning models for automated stenosis segmentation in X-ray coronary angiography (XCA) images to support coronary artery disease (CAD) diagnosis. The study evaluates both Transformer-based ...
Mapping School Vulnerability to Brick Kiln Exposure in Bangladesh Using Remote Sensing and Geospatial Analysis
(IUB, 2026-04)
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, ...