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Comparison of machine learning techniques to predict cardiovascular disease
(BRAC University, 2018-12)
The purpose of this thesis is to examine and compare the accuracy of different
data mining classication systems through different machine learning techniques
to predict cardiovascular disease. This comparison shows the ...
Application of machine learning in credit risk assessment: a prelude to smart banking
(BRAC University, 2018-12)
A precise credit risk assessment system is vital to a financial institution for its proper and
impeccable functioning. Accurate estimations of credit risk will allow them to continue
their operation in a gainful and ...
Prediction of UTR5’, CDS AND UTR3’ Splice sites in an unknown DNA sequence
(BRAC UniversityBRAC University, 2014-01)
The recent flood of data from genome sequences and functional genomics has given rise to a new field, bioinformatics, which combines elements of biology and computer science. In experimental molecular biology, bioinformatics ...
Mobile sensors based human activity recognition using machine learning with explainable ML
(Brac University, 2021)
Based on the data collected from the sensors of smartphone a region that has garnered a lot of interest has a consequence of the growing popularity in the numerous
variety for pertaining to applications(i.e. Real world ...
Fruit and vegetable freshness detection using deep learning
(Brac University, 2022-09)
Bangladesh’s economy depends on agriculture, which contributes significantly to
GDP. It’s time to automate agriculture for increased productivity, efficiency, and
sustainability. Computer Vision can assist in ensuring ...
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)
Uprising a child is a psychological construct of parents, which is a combination of
factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ...
An artificial intelligence-enabled crop recommendation system
(Brac University, 2023-01)
Our country is overburdened with a population of more than 160 million. So fulfilling
the need for food for the whole population can be overwhelming. This research
has been conducted to ensure maximum efficiency in ...
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)
Intracranial hemorrhage is an acute bleeding within the skull which can damage
the brain tissue and can eventually lead to disability or even death. It is a serious
medical condition that occurs when blood is built up ...
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 ...
Machine learning approach for ECG analysis and predicting different heart diseases
(BRAC University, 2018-12)
In the modern world, there have been some revolutionary advancement in the field of medical
science and research and this is no different for electrocardiogram. Electrocardiogram (also
abbreviated as ECG) illustrates the ...