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An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)
Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory.
This is a successively growing disease which means the severity of it will be upward
with the time. In this century, AD is one of the ...
Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)
Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of
the brain and results in people having long-term memory loss, thinking problems,
disorientation, behavioral inconsistencies and finally ...
Early grade prediction using profile data
(Brac University, 2020-04)
Universities are reputable institutions for higher education and therefore it is crucial
that the students have satisfactory grades. Quite often it is seen that during the first
few semesters many students dropout from ...
Front-end web development
(Brac University, 2022-01-17)
Website Design and Developments (Front-End Developments) makes the world of website developments much easier and interactive. It is capable to help you interact with the websites in more interactive ways. It is quite useful ...
A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
(Brac University, 2022-05)
Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in
the brain region known as the Substantia Nigra, which governs movement. These
nerve cells die or deteriorate, rendering them unable to ...
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
(Brac University, 2021-02)
Sign-language recognition is an essential part of computer vision to solve a communication obstacle between the deaf-mute and the common. Bangladeshi Sign Language (BdSL) is the medium of communication of the deaf and dumb ...
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)
Among the young generation of Bangladesh, especially university students, mental
health is a challenging but ignored topic. The primary goal of this paper is to analyze
mental states found in university students all while ...
Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
(Brac University, 2021-01)
Nationwide lockdowns implemented in consequence of the devastating COVID-19
pandemic, caused noticeable improvements in air quality throughout the world.
This paper implements a multivariate long-short term memory network ...
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)
In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)
The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors
such as genetics, behaviour, and other issues. Obesity ...