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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 ...
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 ...
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 ...
Travel time prediction using machine learning and weather impact on traffic conditions
(BRAC University, 2018)
The growth of Intelligent Traffic System (ITS) have recently been quite fast and impressive. Analysis and prediction of network traffic has become a priority in day to day planning in social, economic and more widespread ...
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
(BRAC University, 2019-04)
Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence
these days. However, almost every machine learning algorithm contains an
optimization problem to solve. Inspired by quantum mechanics, ...
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 ...
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, ...
Machine learning approach for improving decision support in ICU
(BRAC University, 2018-07)
Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ...
Machine learning as an indicator for breast cancer prediction
(BRAC University, 2018-12)
Affecting roughly around 10 percent of the women across the globe in some stage of their
lives,Breast Cancer has stood out to be one of the most feared and frequently occurring
cancers at present among women[1]. While ...
Personnel security system of nuclear power plants using machine learning for psychological, behavioral and social media activity analysis.
(Brac University, 2018-12)
In this research, a novel Personnel Security Model is designed and demonstrated for detecting
suspicious people in an organization especially for nuclear power plants. The proposed system
composed of three subsystems and ...