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EMG controlled bionic robotic arm using artificial intelligence and machine learning
(Brac University, 2020-04)
Electromyography is a unique approach for recording and analyzing the electrical
activity generated by muscles, and a Myo-electric controlled prosthetic limb is an
outwardly controlled artificial limb which is controlled ...
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 ...
Personal information from Bangla speech signal using MFCC and GMM
(Brac University, 2019-08)
Our system extracts personal information from bangla speech. Dataset that was
used consists real-life voice inputs from di erent age and gender groups. A set of
Bengali speech samples from YouTube were used as input ...
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 ...
Performance analysis of different machine learning approaches for single modal facial expression detection
(BRAC University, 8/13/2018)
Facial expression detection plays a pivotal role in the studies of emotion, cognitive processes,
and social interaction. This has potential applications in different aspects of everyday life .For
Example, real time face ...
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 ...
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(Brac University, 2020-04)
Depression is accorded as one of the leading causes to all the problems related to
mental health in the Global disease burden study (GBD). Major depressive disorder
(MDD) is when this depression reaches to a larger extent, ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...
Text classification using machine learning algorithms
(BRAC University, 8/2/2018)
Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...