Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 741-760 of 1520
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Genome sequence analysis of bos frontalis and genome wide association study (GWAS) between near species
(BRAC University, 2021-06)The Gayal is an enormous estimated imperiled bovine species having a place with the Bovidae family, Bovini tribe , Bovina group, Bos family , and Bos frontalis species. It is a semi-domestic animal, kept in gated forest ... -
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
(BRAC University, 2021-06)The number of IoT devices around the world is increasing exponentially with the growth of technology. But the resources we have at hand may prove difficult to accommodate all of them. To make efficient use of all the ... -
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 ... -
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ... -
Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
(BRAC University, 2019-12)In today’s world, machine learning has become a big factor. It not only needs to be helpful, but also accurate and precise prediction is required. Machine learning is now becoming a widely used mechanism and applying it ... -
An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning
(Brac University, 2021-06)In late 2019, a novel Coronavirus broke out from China, which has dispersed all over the globe and has taken away countless lives. Despite the fact that every person is at risk of getting infected with the virus, older ... -
Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI
(Brac University, 2021-06)COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ... -
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent ... -
Assistive Guideline of Categorization for Competitive Programming Problems
(Brac University, 2021-06)Programming is a very useful skill nowadays. Programming contests give people the opportunity to increase their programming skills. By solving programming contest problems contestants can increase not only their programming ... -
Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
(Brac University, 2021-06)It is known to all that the existence of life is highly dependent on the weather. Due to the unfavorable condition of current global weather the existence of life is in danger already. Since for the existence of lives a ... -
Fake profile detection in social media using image processing and machine learning
(Brac University, 2021-06)Almost everybody has a social media presence in today’s technologically advanced world. As a result, making fake accounts is very easy. The term ”fake profile” refers to a person who may pretend to be someone else. These ... -
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
(Brac University, 2021-06)Parkinson’s Disease is the second most common neurological disease after Alzheimer’s Disease. The disease is incurable. However, if the disease can be detected earlier, then the consequences of it’s effect can be relieved. ... -
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
(Brac University, 2021-06)The proper prediction of schizophrenia at an early stage can be very beneficial to those who are at risk of developing it at a severe stage later on. The early signs of schizophrenia include extreme reaction to criticism, ... -
Thoracic complication detection on chest X-rays using deep learning
(2021-06)Respiratory or thoracic diseases are one of the leading causes of death worldwide. Many of these diseases can be treated and prevented with proper diagnosis and early care. The diagnosis of thoracic diseases is mainly ... -
Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
(Brac University, 2021-06)Bangladesh, being an Agro-Economy based country, is lacking the technological improvements regarding Supply-Demand ratio of Food Supply to the citizens. Since the recent price hike of onions in 2019, it is evident that ... -
Data analysis on the Bangladesh share market using Machine-Learning
(Brac University, 2021-06)The stock market plays an important role in the growth of industries by supplying funding. Thousands of Bangladeshis use the stock market as a means of employment. The stock markets in Bangladesh have been declining ... -
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while ... -
Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
(Brac University, 2021-06)The significance and urgency of detecting cognitive load of Visually Impaired Person is essential when perception comes while designing an automated navigation aid for them in unfamiliar indoor environments.Our paper ... -
Emotion detection using EEG signals
(Brac University, 2021-06)Emotions play a vital role in how people feel, think and act which makes it worthwhile for analyzing human behavior. As the patterns of emotions and their reflections differ from person to person, their study needs to be ... -
A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
(Brac University, 2021-06)Galaxy clusters, which may contain hundreds or thousands of galaxies, are the biggest gravitationally bound objects in the universe. These clusters are filled with heated X-ray emitting plasma. Radio mini-halos are radio ...
