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Now showing items 81-84 of 84
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)
In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)
Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ...
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(Brac University, 2023-09)
"Medical picture segmentation is important for clinical applications because it can
offer valuable information on disease identification. With the inclusion of deep
learning techniques, the original U-Net and ResUnet ...
Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)
Predicting financial data is really important for investors Often times investors do
not have a proper tool to properly assess the market and forecast their predictions.
Furthermore, not only investors in modern day ...