Search
Now showing items 1-10 of 23
Alumni opportunities using machine learning
(BRAC University, 2018-12)
Feature based mobile phone rating using sentiment analysis and machine learning approaches
(2018)
This project proposes a model of sentiment analysis of different features of different company’s mobile sets and rating them overall. Customers before buying a phone check reviews to get a better understanding of the device ...
Performance analysis of different machine learning approaches for single modal facial expression detection
(BRAC University, 8/13/2018)
Facial expression detection plays a pivotal role in the studies of emotion, cognitive processes,
and social interaction. This has potential applications in different aspects of everyday life .For
Example, real time face ...
Monitoring of endangered fish using image processing and AI tools
(Brac University, 2018-12)
Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring
of them efficiently face setbacks largely due to technological limitations and economic
reasons. Technological challenges include ...
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 ...
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 ...
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 ...