School of Data and Sciences (SDS)
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A generic framework of three factor authentication with optional bio-metric or graphical password
(Brac University, 2022-01)We live in a technological era where technology controls our lives in a good way or in a bad way. In today’s digital world we cannot imagine a single day without technology and for security for purposes we mostly rely ... -
Flood prediction using machine learning models
(Brac University, 2022-01)Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ... -
Market demand analysis using NLP in Bangla language
(Brac University, 2021-09)Product market demand analysis plays a significant role for originating business strategies due to its noticeable impact on the competitive business field. Furthermore, there are roughly 228 million native Bengali speakers, ... -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ... -
Fault detection and predictive maintenance in IoT-based building management system using machine learning
(Brac University, 2022-01)Infrastructures in the modern era are incorporating the Internet of Things (IoT) in everything from complex building automation systems (BAS) to individual small devices, emphasizing the importance of Predictive Maintenance. ... -
Sentimental analysis on political speeches
(Brac University, 2022-01)Politics is an essential part of human society. From the start of human civilization, politics has controlled every human society. Political speeches have had one of the most influential roles in shaping the world. ... -
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
(Brac University, 2021-09)Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose ... -
Electroencephalography based brain controlled grasp and lift
(Brac University, 2021-09)The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ... -
Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)Our paper mainly focuses on developing an audio classification for people, who cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). One of the many prevalent complaints from ... -
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ... -
Vibrio cholerae: epidemiology of Cholera, virulence, ecology, biofilms and vibrio phages
(Brac University, 2021-08)Every year there are a million cases of acute diarrheal disease around the world that is caused by the strain, Vibrio Cholerae due to poor sanitation and hygiene practices. It mostly affects children and can be deadly if ... -
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)Prostate cancer is a ubiquitous form of cancer detected among men all over the world. It is currently the second leading cause of cancer death worldwide among men. Research shows that about 11% of men worldwide are ... -
Automation requirements engineering using machine learning
(Brac University, 2021-09)Machine learning algorithms help to automate the process in many di erent problem domains. In the eld of Software engineering. Requirement engineering is one of the rst stages of software development. This research ... -
Computer-generated artificial life model: algorithm for hunters hunting preys
(Brac University, 2021)This thesis simulates the behavior of predators and preys observed between a pack of wolves and a deer herd during a hunting scenario. We use the Boids flocking algorithm, an artificial life model developed by Craig ... -
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ... -
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
(Brac University, 2021-08)With the recent advancement in artificial intelligence, the demand for handwrit- ten character recognition increases day by day due to its widespread applications in diverse real-life situations. As Bangla is the world’s ... -
Prospects of 3D bioprinting as a possible treatment for Cancer cachexia
(Brac University, 2021-07)Cancer cachexia is a multifactorial syndrome that is identified by ongoing muscle atrophy, along with functional impairment, anorexia, weakness, fatigue, anemia, reduced tolerance to antitumor-treatments. Ultimately, ... -
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
(Brac University, 2021-10)Nature and technology are two di erent subject matter with having much dissension between each. Only a few years back, technological growth looked like a threat to nature. However, the bene t of having huge computational ... -
Multi-modal hate speech detection using machine learning
(Brac University, 2021-01)Hate speech is a common problem that people face in any content based applications. With continuous growth of internet users and media contents, it is very hard to track down hateful speech in audio and video. Converting ... -
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ...
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