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Now showing items 81-85 of 85
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 ...
Speech command classification based on deep neural networks
(Brac University, 2023-03)
In our day-to-day life there are lots of sounds that we are processing. To process
these sounds our brain absorb sound signals and provide us informative knowledge.
For human being this is not possible to extract every ...
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 ...
Application of deep learning in MRI classification of Schizophrenia
(Brac University, 2023-01-23)
In today’s world, when people are suffering from complex brain diseases, MRI has
been playing a very significant part in understanding brain functionalities and its
abnormalities. Deep learning has been recently used for ...