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Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
Bank loan prediction using machine learning
(Brac University, 2023-05)
The Banking sector is a core foundation of the global economy as it facilitates the
financial transactions while providing fundings in various purposes. One key aspect
in the banking industry is the ability to accurately ...
Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
(Brac University, 2023-06)
One of the known eye conditions that affect human retinal blood vessels is diabetic
retinopathy (DR). People with diabetes are typically at significantly increased risk
for this. The blood vessels in the retina are damaged ...
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)
Using a number of Neural Network Models, we attempt to explore and explain the
prediction of Alzheimer's in patients in various stages of the disease, using MRI
imaging data. Alzheimer's disease(AD) often described as ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...
XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
(Brac University, 2023-07)
Explainable AI (XAI) techniques are essential for comprehending machine learn-
ing model predictions in a variety of fields, including healthcare. In this study, we
highlight XOPSIS, a newly developed XAI method built ...