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Alumni opportunities using machine learning
(BRAC University, 2018-12)
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 ...
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)
Depression, a major depressive disorder and anxiety are common medical illness
which cause several symptoms that a ect the way a person feels, thinks, and the
way he/she acts. These disorders are not only hard to endure, ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the
fast development of the Web. For this reason, consumers change their tendency
from customary shopping to the electronic business. In the time ...
Using deep learning algorithms to detect violent activities
(BRAC University, 2019-05)
It is of extensive importance to develop a technique for automatic surveillance video
analysis to recognize the presence of violence. In this work, to identify violent videos,
we put forward a deep neural network. For ...
Application of machine learning techniques on the context of livestock analysis
(BRAC University, 2018-08)
Livestock industry has been one of the fastest growing sectors of business and research in Bangladesh over the past decade. This rising, lucrative and profitable industry seems to be attracting a good number of enthusiastic ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)
The Internet of Things is best stated as a network of “things” that have the ability to generate
and share information between themselves and interact with the environment according to the
percepts from this environment. ...
Text classification using machine learning algorithms
(BRAC University, 8/2/2018)
Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...
Comparison of machine learning techniques to predict cardiovascular disease
(BRAC University, 2018-12)
The purpose of this thesis is to examine and compare the accuracy of different
data mining classication systems through different machine learning techniques
to predict cardiovascular disease. This comparison shows the ...