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 ...

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 ...

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, ...

People with Hemophilia in Bangladesh have been encountering difficulties for quite a way because there has not been any single digitalized health care system in place for catering to the needs of this group of people. ...

Tomato leaf diseases are a major threat to crop production and food security particularly in the developing world where early detection of the disease is a problem. The main aim of this research is to detects and classifies ...

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 ...

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 ...

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 ...

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, ...

Breast cancer is a major cause of cancer mortality in women and therefore early and precise detection is essential in treatment. The traditional diagnostic techniques like mammography and histopathology are still popular ...