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Analysis of uncertainty in different neural network structures using monte carlo dropout
(Brac University, 2023-01)
Deep learning technologies developed at an exponential rate throughout the years.
Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ...
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)
Throughout time, there has been a surge of hostile activities in public places across
the globe. With the advancement in technology, it has been possible to monitor
public places through real time surveillance. Video ...
An in depth analysis of neural network with application in finance
(BRAC University, 2019-04)
Arti cial neural network model is inspired from how the nervous system of brain
works. If it is designed properly it can process large amount of data or information
and can give proper output for di erent application ...