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A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
(Brac University, 2022-01)
Recruitment is a crucial task for Human Resource Management (HRM) and determines
the creation of a competent workforce that eventually brings tangible and
intangible benefits for companies. Employees are key elements in ...
Bioinformatics and machine learning in prevention, detection and treatment of HIV/AIDS
(Brac University, 2021-07)
As the acquired immunodeficiency syndrome (AIDS) pandemic continues to be a major
health crisis of global concern, new strategies in the management and treatment of the disease
is being explored. This project titled ...
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)
A coronary artery blockage is a form of coronary artery disease also known as CAD.
It is the most common and frequent disease affecting the human body over the age
of 65. CAD is a type of cardiovascular disease that ...
Predicting depression in Bangladeshi undergraduates using machine learning
(BRAC University, 2018-12)
Depression is a major disorder and a growing problem that impacts a person’s way of living,
disrupting natural functioning and impeding thought processes while they might remain
oblivious to the fact that they are suffering ...
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)
It is an age of the Web and electronic media, and social media stages are one of the
foremost frequently used communication mediums these days. But a few individuals
utilize these platforms for a noxious reason and among ...
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)
Every single day a large number of patients go to the hospital. But the fact is,
facilities available in hospitals are not su cient in comparison with the number of
patients. The idea of this paper is to o er a prediction ...
Anomaly detection In IoT using machine learning algorithms
(Brac University, 2019-08)
Internet of Things (IoT) is growing as one of the fastest developing technologies
around the world. With IPv6 settling down, people have a lot of addressing spaces
left that even allows sensors to communicate with each ...
Human activity recognition and authentication system
(Brac University, 2023-05)
Automated surveillance motion detection and video data analysis are now crucial jobs for many industries. Understanding human behavior from security video data is crucial, especially in places like banks, hospitals, ...
Application of machine learning in identification of best teaching method for children with autism spectrum disorder
(Brac University, 2022-05)
A good teaching method is incomprehensible for an autistic child. The autism
spectrum disorder is a very diverse phenomenon. It is said that no two autistic
children are the same. So, something that works for one child ...
Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
(Brac University, 2021-01)
In competitive markets, it is costly to attract new customers in the business as
they already have a wide customer base; that being the case, businesses spend a
healthy budget to bring back customers who have once been ...