Browsing by Subject "Deep learning."
Now showing items 1-7 of 7
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AI thesis helper
(BRAC University, 2024-12)In the modern world, Artificial Intelligence (AI) has become popular. Machine Learning (ML), is another popular term used on the internet, it is when AI is applied to a system which allows it to learn. Deep Learning (DL) ... -
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. ... -
An approach to detecting fake and misleading content on YouTube for the older generation in Bangladesh, using HCI and multilingual NLP models
(Brac University, 2024-10)The rapid advancement of digital technologies has dramatically impacted how people access information and connect globally. However, this revolution presents specific challenges, especially for the older generation, who ... -
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 ... -
Fortifying federated learning: security against model poisoning attacks
(Brac University, 2024-01)Distributed machine learning advancements have the potential to transform future networking systems and communications. An effective framework for machine learning has been made possible by the introduction of Federated ... -
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 ...
