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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 Networks
(INNs), there are several neural network (NN) architectures ...
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 ...
Plant leaf disease identification
(Brac University, 2023-01)
Agriculture has consistently been an essential component of our day-to-day life over
the centuries. Because of its contribution to our country’s revenue, the importance
of agriculture has been steadily growing over the ...
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)
One of the world’s most pressing issues right now is the lack of a competent waste
management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
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 ...