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Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
(Brac University, 2022-05)
The COVID-19 pandemic has significantly affected day to day lifestyle all over the
planet by disequilibrating social order. It moreover added anxiety about the capability
of the world’s democracies to cope with the vital ...
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 ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
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 ...
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 ...
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...