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Now showing items 41-50 of 59
Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
(Brac University, 2021-06)
With COVID-19 still running rampant across the world, accurate diagnosis of pa tients and proper management of medical resources is paramount in order to deliver
proper care to those that need it most. In order to do this, ...
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)
Predicting the risk while lending money has always been a challenge for financial
institutions. To make such decisions many banks or financial organizations follow
different techniques to analyze a set of data. Manual ...
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 ...
Stock market prediction using ensemble learning
(Brac University, 2020-04)
An unpredictable sector of finance market which involves three major roles: investors, buyers and sellers is called a stock market. Also stock prices may not only change the future economy of a country but also have direct ...
Analysis on dengue severity using machine learning approach
(Brac University, 2021-01)
Dengue is a viral disease that spreads in tropical and subtropical regions and is especially prevalent in South-East Asia. To some certain extent, this mosquito-borne
disease triggers nationwide epidemics, which results ...
A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
(Brac University, 2021-08)
Rainfall has always been important in context of Bangladesh as almost 43% of the
population depends on agriculture for their livelihood. Global warming has been
taking a toll on environment and rainfall patterns have ...
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)
eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional
data, particularly in the field of computer vision. As ...
Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)
Plants assume a significant part in Earth’s nature by giving food, cover and keeping
a solid environment.These plants contain some significant therapeutic qualities. Due
to having fewer negative side effects and being ...
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
(Brac University, 2021-06)
Information is power although fake information can have severe consequences when
it gets viral. Living in the era of social media is like always getting influenced
by the news of the online world even though it is fake. ...
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)
In this thesis we have examined the accuracy of various classifiers to predict heart
disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...