Browsing by Subject "Deep learning."
Now showing items 1-4 of 4
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Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
(Brac University, 2024-06)There is a pressing need to revise the current diagnostic framework for renal abnor mality due to the projected increase in its global prevalence as about 10% of people worldwide are suffering from renal diseases. ... -
Detection of mental stress using EEG signal and classifier based on reward and punishment processing
(Brac University, 2021-01)Mental stress is the main well being problem worldwide today. Mental stress is by far the most common, responsible for most of all mental-brain diseases. The high incidence, high impairment and heavy risk of illness make ... -
Exploring machine learning techniques for symptom-based detection of livestock diseases
(Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
(Brac University, 2024)One of the deadliest and most difficult tumors to cure is a brain tumor. Patients diagnosed with brain tumors tend to have a comparatively shorter lifespan. This tumor can affect any individual of any age. To mitigate ...
