Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 281-300 of 1496
-
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)Although smartphones have already become the de facto tool for environmental health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ... -
Bank loan prediction using machine learning
(Brac University, 2023-05)The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ... -
Revolutionizing microfinance: a blockchain-driven decentralized finance (DeFi) model for collateral-free loans
(Brac University, 2023)Microfinance, providing essential banking services to low-income and unbanked individuals, faces numerous challenges such as high-interest rates, cumbersome intermediary processes, and lack of transparency. Decentralized ... -
Sentimental analysis of customer product Reviews to understand customer needs using machine learning
(Brac University, 2023-05)People are influencing aspects of the digital world through machines. As a result, it is crucial to upgrade and use this aspect to do so. In the past, people used written letters to provide feedback. However, people are ... -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ... -
Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
(Brac University, 2023-05)Sickle Cell Disease is a monogenic genetic disorder which often leads to various repercussions affecting multiple vital organs simultaneously. However, the treat- ment for Sickle Cell is diverse and often varies from ... -
Advanced health insurance system using smart contract of ethereum blockchain
(Brac University, 2023-05)Every year, more healthcare insurance frauds are discovered, which is hugely worrying for society. Healthcare insurance fraud takes many forms, including fabricating data, obfuscating third-party responsibility, misrepresenting ... -
Blockchain based e-voting system with homomorphic encryption and threshold signature
(Brac University, 2023-05)Security issues have been at large as mankind is becoming more comfortable with technologies. The rapid growth of technology has not given us enough time to understand technologies in whole. Thus this revolution in ... -
Benchmarking erasure coding schemes in openStack swift
(Brac University, 2023-05)Erasure coding (EC) is a security measure that allows for data to be reconstructed from parity pieces, which eliminates the need for complete data replication. EC offers increased data redundancy, efficiency, lowers ... -
Construction of 3D environment from 2D RGB images and depth information
(Brac University, 2023-05)Modern operations have introduced a new class of highly functional applications, redefining what can be built in a given amount of time. 3D modeling is required to resolve several shortcomings in outdated processes and ... -
Behavioural analysis of factors influencing online food ordering and its relation to obesity
(Brac University, 2023-06)The purpose of this research is to determine what influences people to order food online and the intensity of ordering as well as to see if there is any correlation between online food ordering and obesity among the people ... -
Exploring the barriers to access feminine healthcare among marginalized women in Bangladesh and design implications
(Brac University, 2023-05)In today’s era of information and technology for promoting and maintaining both physical and mental health, high-quality healthcare services are crucial. Telecommu- nications service creates an opportunity to close the ... -
Enhanced and secured hybrid steganography model for hiding large data
(Brac University, 2023-05)Recent works on steganography basically are focused on various network layers and multiple data-hiding techniques. These researches lead to image manipula- tion, contortion and small-scale payload. This paper proposes a ... -
Preliminary design concept for startups: minimum viable user experience
(Brac University, 2023-05)Small startups often develop websites or mobile applications without fully understanding what the users really want. However, obtaining trustworthy early feedback from customers can be challenging because they tend to ... -
Graph data mining-based community clustering for gender-biased community detection of social media
(Brac University, 2023-05)One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ... -
Obscure face recognition using deep neural networks
(Brac University, 2023-06)One of the most effective biometric tools for securing diverse systems is facial recog- nition technology. Traditional security mechanisms like PINs, passwords, and fin- gerprints have shown to be less effective and ... -
Research on the latest trends in Bangla named entity recognition
(Brac University, 2023-05)Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that distinguishes entities from unorganized text into predefined categorization. In recent years, a lot of Bangla NLP subtasks have received ... -
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ... -
Detection of Deepfake using computer vision and deep learning
(Brac University, 2023-05)In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ... -
Predicting obesity: a comparative analysis of machine learning models incorporating different features
(Brac University, 2023-05)Obesity, the excessive accumulation of body fat, is a significant health risk associated with various detrimental impacts, including the development of chronic diseases, metabolic abnormalities, joint problems, sleep ...
