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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 ...
Heart disease prediction using machine learning algorithms
(BRAC University, 2019-04)
According to recent survey by WHO (World health organization) 17.9 million people die
each year because of heart related diseases and it is increasing rapidly. With the increasing
population and disease, it is become a ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...