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Alumni opportunities using machine learning
(BRAC University, 2018-12)
Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)
Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high
levels of noise and clutter. These conditions can ...
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, ...
Multimodal human detection in disaster situations using deep learning & artificial intelligence
(Brac University, 2022-09)
Mankind has faced natural calamities for survival since the very beginning of
human civilization. Even after 65 million years, mankind is still figuring out ways to
face natural calamities and survive its post-consequences ...
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 ...
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)
In this research, we propose a hybrid model for predicting suicide risk from text
data that incorporates BERT, VADER, and a Random Forest classifier for sentiment
analysis. This model aims to identify individuals who may ...
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, ...