• Correlation Between Air Quality And Respiratory Health 

  Saha, Chinmoy (Daffodil International University, 2025-09-14)

  This thesis analyzes the relationship between air quality and respiratory health that develops a predictive framework to inform public health planning. Measurements of key pollutants (PM2.5, PM10, NO2, SO2, O3) and ...
• Semi-Supervised Ultrasound Framework with Prototype Regularization for Five-Stage Liver Fibrosis Assessment 

  Shakil, Md. Shahriar (Daffodil International University, 2025-09-11)

  Liver fibrosis represents a gradual replacement of normal hepatic parenchyma with scar tissue, and accurate staging (F0–F4) is essential for guiding surveillance, therapeutic decisions, and specialist referral. Although ...
• Identification Of Medicinal Plants Using Deep Transfer Learning 

  Saha, Shithi Rani (Daffodil International University, 2025-09-11)

  The thesis explores the identification of medicinal plants in Bangladesh from images of plant leaves with the approach of deep transfer learning. The objectives of the study were to determine the best and less time consuming ...
• Bangladeshi Currency Recognition and Counterfeit Detection Using Convolutional Neural Networks 

  Baral, Saurav (Daffodil International University, 2025-10-11)

  This thesis explores the recognition of Bangladeshi currency and the detection of counterfeit notes using deep learning. The primary objective of the study has been to discover if there is a reliable and time efficient ...
• EDDNet30: A Spatial Attention and Multi-Scale Fusion Model for Enhanced Eye Disease Classification with Explainable AI 

  Paul, Showmick Guha (Daffodil International University, 2025-10-14)

  Eye illnesses are a leading global cause of blindness and vision impairment, underscoring the critical necessity for precise and timely diagnosis to avert further decline. Even though medical imaging has come a long way, ...
• Dual-Stream Attention Fusion with Metaheuristic Feature Optimization for Interpretable Lung Cancer Classification in Medical Imaging 

  Emon, Yousuf Rayhan (Daffodil International University, 2025-09-11)

  Detection and classification of lung cancer in chest computed tomography (CT) images is a pressing issue in medical imaging because it is challenging to differentiate a subtle morphologic distinction between benign and ...
• Minimalistic Fault Detection In System Logs Using Unsupervised Learning 

  Ridoy, Md. Iftekharul Islam (Daffodil International University, 2025-05-24)

  In a computing system, the system logs are important for detecting the issues and failures and anomaly. The modern systems are producing massive amount of log daily. The traditional detecting methods are usually unable to ...
• Fusion Mobilenetv2 For OCT Disease Detection With Grad- CAM And LLM Interpretation 

  Mamun, Sajib Bin (Daffodil International University, 2025-09-24)

  Early and accurate detection of retinal disease is highly important in order to avoid losing sight as well as in the treatment of patients. This study focused to integrating deep learning models with large language models ...
• News Recommendation System Using Deep Learning Method 

  Jahan, Tamanna (Daffodil International University, 2025-09-11)

  The impressive amount of news information online, which is reflected in digital age, is a great problem affecting the provision of useful news to the readers effectively. The urgency of having intelligent systems that are ...
• Deep Learning-Based Prediction Of Lung Cancer Using Ct Scan Images: A Comparative Analysis Of Using Cnn Based 

  Neesa, Khairun (Daffodil International University, 2025-09-14)

  Lung cancer is one of the deadliest diseases worldwide, making its early and precise detection vital for improving patient survival outcomes. This research presents a comparative evaluation of twenty-five CNN-based deep ...
• Deep Learning With Attention Mechanism For Sweet Pumpkin Disease Identification 

  Tanzila, Mst. Umme Shefa Arda (Daffodil International University, 2025-09-15)

  Sweet pumpkin (Cucurbita moschata) is a commonly grown plant that gains its importance through the means of nutrition and economy. Nevertheless, other leaf rotations including Downy Mildew, Mosaic, Leaf Curl are the threats ...
• Scope of Kolmogorov–Arnold Networks (KAN) for Image Classification in Low- Resource Computational Settings 

  Islam, S. K. M Shadekul (Daffodil International University, 2025-09-19)

  This study examines the scope of Kolmogorov–Arnold Networks (KAN) for image classification in low-resource computational environments. Conventional deep learning models for vision tasks require significant hardware resources, ...
• Explainable AI Based Machine Learning Models for Thyroid Disease Prediction 

  Faruq, M. A. Omar (Daffodil International University, 2025-09-19)

  The incidence of thyroid disorders is among the most widespread endocrine diseases worldwide and accurate and timely diagnosis is an important part in patient management/procedures. The paper presents a proposal of an ...
• QViT: A Noise-Resilient Quantum-Classical Vision Transformer with Quantum State Tomography for Lung Cancer Classification 

  Mustofa, Sumaya (Daffodil International University, 2025-06-02)

  Lung cancer has always been the primary cause of cancer mortality in the world, and the exact identification of its subtypes is still vital in the treatment of patients to enhance their survival. Over the past years, Vision ...
• Real-Time Viral Skin Lesion Diagnosis: A Hybrid Deep Learning Framework for On-Device Deployment 

  Alif, Md. Sakibuzzaman (Daffodil International University, 2025-06-02)

  This thesis addresses a critical public health issue by presenting a hybrid deep learning pipeline for the real-time, on-device diagnosis of viral skin lesions. The core objective was to develop a model that effectively ...
• A Machine Learning and Deep Learning Framework for Spatiotemporal Prediction of Dengue Incidence 

  Baidya, Sonnet (Daffodil International University, 2025-06-11)

  This study offers a comprehensive model for accurate dengue forecasting based on a combination of machine and deep learning. Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), K-Nearest Neighbor (KNN), Naïve ...
• A Resource-Efficient Deep Learning Framework for Gastrointestinal Image Classification 

  Niloy, Sowmik Hasan (Daffodil International University, 2025-06-14)

  In this paper, we propose a cost-effective deep learning solution for diagnosing GI diseases, focusing on GERD and colorectal polyps, through endoscopic images. We explore the problems of executing high-performance AI ...
• Micro Plastic In Water Detection Using Deep Learning Approach 

  Saha, Shuvajit (Daffodil International University, 2025-09-18)

  The growing occurrence of micro-plastics in the water bodies is a major concern to environmental and human health. Historical methods of detection have been time consuming, costly and have used special laboratory set ups. ...
• Maize Leaf Disease Identification Using Deep Learning Techniques: A Case Study in Bangladesh 

  Jahan, Nusrat (Daffodil International University, 2025-09-11)

  This paper presents research on the deep learning methods and how the methods can be used in detecting three of the common corns on the leaves. A dataset was collected containing more than 4,000 actual pictures of contaminated ...
• Graph-Theoretic and GNN-Based Framework for Surplus- Demand Matching in Rooftop Farming Networks 

  Afrin, Sajia (Daffodil International University, 2025-09-11)

  Rooftop farming has become an alternative model to improve urban food security and to make use of urban empty spaces. But the match between surplus supply and consumer demand is inefficient, leading to food waste and lost ...

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