Department of Computer Science and Engineering (CSE)
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Recent Submissions
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Influential user mining for viral and target marketing in social network through PageRank and Bayesian inference
(Brac University, 2020-04)Social networks have become one of the most important focuses for almost all Business strategies due to massive increase of potential sales using Viral marketing. The chief role played in these networks are the influential ... -
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 ... -
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
(Brac University, 2020-04)In this modern age, marketing strategy is becoming a new challenge. Not only the global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are ... -
Stress factors identification and comparative study of stress levels among undergraduate students
(Brac University, 2020-04)Stress has become a part of the academic life of the students, thanks to the different internal and external demands put on their shoulders constantly. Excessive and protracted stress has consequences that transcend pure ... -
3D character and overlay image movement by human body tracking using unity.
(Brac University, 2020-04)Technology has made our life very easy and we have the touch of technology everywhere. By using technology, we are solving various difficult problems and making our life more convenient. In our daily life, we buy different ... -
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 ... -
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)Uterine cervical cancer is the second most regular gynecological harm around the world. The appraisal of the degree of sickness is fundamental for arranging ideal treatment. Imaging procedures are progressively utilized ... -
A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)The right to vote is considered to be the backbone of democracy. As we are entering the third decade of 21st century more and more countries around the world are adopting the democratic government system. One of most ... -
Early grade prediction using profile data
(Brac University, 2020-04)Universities are reputable institutions for higher education and therefore it is crucial that the students have satisfactory grades. Quite often it is seen that during the first few semesters many students dropout from ... -
Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
(Brac University, 2020-04)In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ... -
Prediction of Epileptic Seizures using digital signal processing and support vector machine
(Brac University, 2020-04)Epilepsy is a neurological disorder that causes abnormal behavior and recurrent seizures due to unusual brain activity. Our study has attempted to predict seizures in epileptic patients through the process of feature ... -
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly increments time by time. Tremor is the major side effect ... -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ... -
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
(Brac University, 2020-04)We propose a color vision approach that enables normalizing images based on autoencoder technique using deep neural networks. The proposed model consists of three main different steps: image processing, encoding and ... -
Augmented reality based flight assisting system under emergency circumstances
(Brac University, 2020-04)The number of aerial vehicles have continuously increased as our technology advances and will continue to increase. However, to fly any aerial vehicle manually, the person should have a thorough understanding of GPS ... -
Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire nervous system gets collapsed. The brain tumors are the ... -
Bangla sign language recognition and sentence building using deep learning
(Brac University, 2020-04)Modern age being the era of Information technology, it would not have come this far without the piled up data or information. Whereas communication is the basis of collecting or gathering data or information, almost 5% ... -
Multi-modal emotion recognition for determining employee satisfaction
(Brac University, 2020-04)Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ... -
Efficient image processing and machine learning approach for predicting retinal diseases
(Brac University, 2020-04)As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector ... -
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
(Brac University, 2020)Over the years, data mining and machine learning have proved to be very convenient in numerous fields of science and technology and their applications in the medical sector is an emerging one. With the world population ...
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