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Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
(BRAC University, 2018-12)
Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
(BRAC University, 2018-12)
There has been significant development in the recent Education System with the rapid development of
technology however there are very few facilities that can help those people with disabilities such people
without sight. ...
Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
(BRAC University, 2018-12)
Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the
body can become cancer and can spread to other areas of the body. The origin of Chronic
Lymphocytic Leukemia (CLL) in the bone marrow ...
Road sign detection and translation in Bangla using image processing and machine learning
(Brac University, 2019-08)
For the drivers while driving, road signs play very important role but it is really
challenging for the drivers' if they are not at home with the meanings of the signs.
Driving is a process which is complex, continuous, ...
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)
Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ...
Anti-aliasing for real-time applications in 3D using deep convolutional neural network
(Brac University, 2020-04)
In this paper we present a convolutional neural network model for solving the long-
standing aliasing problem in the real time 3D graphics industry. Aliasing refers
to the problem of having hard jagged edges in the ...