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Now showing items 11-20 of 56
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
(Brac University, 2020-04)
Ejection fraction value denotes how much blood is pumped out of the heart to different parts of the body. It is a routine clinical procedure in heart function assessment,
where the left ventricle of the heart has to be ...
Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
(Brac University, 2020-04)
Epileptic seizures happen due to sudden bursts of electrical activity in the brain. This uncontrolled outburst may produce physical problems, abnormal behavior. Before the beginning of the seizure, a prediction is very ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
Displaying Ad with Optimal Real-Time Bidding
(Brac University, 2020-12)
Real-time bidding is a new paradigm for displaying an ad. Through our research work, we have
tried to find a bid optimization solution for displaying an ad in RTB. Advertisers are able to bid per
impression through RTB ...
Predicting criminal activities analyzing video signal using machine learning
(Brac University, 2020-04)
Criminology is a method that is used to perceive wrongdoing and criminal qualities.
The crooks and the wrongdoing occasion likelihood can be overviewed with the
help of criminology frameworks. Video analysis and machine ...
Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction
(Brac University, 2020-04)
Transaction fraud has become a fast growing issue in the world of modern technology which has become a serious threat to the financial sectors. Although these
fraudulent actions have several categories or type but online ...
Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices
(Brac University, 2020-04)
A medical procedure is described as non-invasive if there is no necessity
for incision into the skin. Invasive methods can often be risky because
there is a high chance of infection. That is why the medical sector ...
Understanding the sustainability of online software development groups in Bangladesh
(Brac University, 2020-04)
The field of software development currently is one of the most rapidly expanding
sectors in terms of research as well as establishing a career. An immense amount of
youths are entering it as new opportunities are being ...
Environmental monitoring with the help of Internet of Things (loT) and machine learning
(Brac University, 2020-04)
In recent day situation, the non-stop increase in air and noise pollution can be an
enormous direful downside for our country. It has become an obligatory to manage
and ttingly monitor true so, the speci ed steps to ...
Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
(Brac University, 2020-10)
Big Service is an extremely important application of service computing to provide predictive and needed services to humans. On the other hand, Big Data as a Service can be achieved implementing by processing large chunk ...