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Now showing items 1-9 of 9
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 ...
Personal information from Bangla speech signal using MFCC and GMM
(Brac University, 2019-08)
Our system extracts personal information from bangla speech. Dataset that was
used consists real-life voice inputs from di erent age and gender groups. A set of
Bengali speech samples from YouTube were used as input ...
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 ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...
Bangla speech to text conversion using CMU sphinx
(Brac University, 2019-08)
Speech is the most normal type of communication and association between people while
content (text) and images are the most basic types of exchange in the computer system.
Therefore, enthusiasm in regards to transformation ...
Implementing a recommender system for CS undergraduate students using machine learning
(Brac University, 2019-04)
E-learning is a learning process that accesses educational curriculum using electronic
technologies and can be operated anywhere in the world where there is facility to
connect to the internet. Traditional teaching ...
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 ...