Department of Computer Science and Engineering (CSE)
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Recent Submissions
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Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
(Brac University, 2019-12)Parkinson's Disease is a progressive nervous system brain disorder which affects motor neuron loss control and movement coordination. Parkinson's symptoms are shown gradually and get worse over time. Its signs and symptoms ... -
IoT security risk analysis
(Brac University, 2017)Internet of things (IoT) has become a buzzword in today’s world to describe billions of devices, interconnected via the web. It includes a diverse range of devices, starting from wearable ultra low-powered gadgets like ... -
Smart surveillance system for identifying bikers without helmets using deep learning
(Brac University, 2019-08)Modern world is progressing quickly along with technology and one of the major sectors is transportation technology. Day by day the number of people are increasing and the number of vehicles are increasing too. As a ... -
Secure medical record sharing using blockchain and elliptic curve cryptography
(Brac University, 2019-08)Medical records contain sensitive data of a person. In our country, different organiza- tions manage medical records in different ways. Since there is no standard procedure for maintaining medical records, the overall ... -
Automated car parking system with increased security by digital image processing
(Brac University, 2019-08)In Bangladesh car stealing is very common. Our cars are not secure even in the parking garages. Security guards can not monitor large garages properly all the time. If someone can unlock the car he can easily pass through ... -
Detection of skin cancer using Convolutional neural network
(Brac University, 2019-10)One of the most common and fatal cancer in the universe is skin cancer which arise from skin of epidermis, the topmost layer of the skin, it can happen anywhere in the body. We can find out the cancer by early detection. ... -
Detection of mind wandering using EEG signals
(Brac University, 2020-01)Mind Wandering (MW) is the recurrent occurrence in which our mind gets disengaged from the immediate task and focused on internal trains of thought. In terms of intelligent interfaces MW can both have good as well as ... -
Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
(Brac University, 2019-12)Although keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is ... -
Performance analysis of machine learning classi ers for detecting PE malware
(Brac University, 2019-12)In this modern era of technology, securing and protecting one's data has been a major concern and needs to be focused on. Malware is a program that is designed to cause harm and malware analysis is one of the paramount ... -
An NDN based indoor positioning and navigation system
(Brac University, 2019-12)Providing navigation services indoor is becoming a growing trend in recent years. Traditional GPS is not a viable solution for indoor use as it demands more accuracy and may be out of reach of GPS signals. Indoor positioning ... -
Early prediction of Alzheimer's disease using convolutional neural network
(Brac University, 2019-08)Neuroimaging can be a prospective instrument for the diagnosis of Mild Cognitive Impairment (MCI) along with its more severe stage, Alzheimer's disease (AD). High- dimensional classi cation methods have been commonly ... -
3D model based interactive application for elementary education
(Brac University, 2019-08)This thesis demonstrates a 3d model based interactive application which has been initially deployed for android platform and functions on the basis of augmented reality technology targeting the sector of Bangla language ... -
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)There are signi cant amount of di erences between an addicted and non-addicted person on their social and familial behavior. In our thesis we tried to nd out the characteristics of a person related to his social and ... -
Share market forecasting with LSTM neural network and sentimental trend prediction
(Brac University, 2019-09)Forecasting and predicting future trend is getting signi cant importance in stock market exponently as it is volatile in nature. Stock market is an extremely complicated , unstable and volatile place due to the fact that ... -
Virtual reality simulation for motion sickness
(Brac University, 2019-09)Motion sickness, sea sickness and flight sickness are some of the common phenomena are faced by many. However this type of sickness can be treated through regular encounters of different situations which trigger such ... -
Detection of amyotrophic lateral sclerosis using signal processing and machine learning
(Brac University, 2019-04)Electromyography(EMG) signals provide signi cant information for the diagnosis of neuromuscular disorders like Amyotrophic Lateral Sclerosis(ALS) which is a form of Motor Neuron Disease(MND). Due to the stochastic nature ... -
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ... -
Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
(Brac University, 2018-12)The world of Machine Learning is expanding everyday through its implementations in modern day healthcare. Researchers have sketched out many ways to implement Machine Learning algorithms and droned into ways to make them ... -
Finding habitable exo planets using boosting algorithm
(Brac University, 2018-12)The first moment man extended their boundaries outside of our Earth, from that moment they were looking for another habitable planet, where they may live in future. Including NASA, many international space organization ... -
Modelling option prices using neural networks
(Brac University, 2019)In this research, modelling of the European option prices of S&P 500 index options was carried out using Multi-layer Perceptron Neural Networks. The goal was to train the neural networks using historical data to accurately ...
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