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Now showing items 41-50 of 65
Analysis of the impact of online education using EEG signals and machine learning algorithms
(Brac University, 2021-01)
Online learning has allowed students from different walks of life to access a vast
amount of information, allowing them to gain new skills. However, only having
access to that information does not mean that the students ...
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 ...
Gene classification and pattern analysis using data mining and machine learning techniques
(Brac University, 2021-06)
Gene classification and pattern extraction from gene sequence data is essential in
understanding different gene sequence features. The field of gene expression data
analysis has grown in the past few years from being ...
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, ...
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)
Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...
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 ...