Thesis & Report, MSc (Computer Science and Engineering): Recent submissions
Now showing items 21-40 of 74
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Flood prediction using ensemble machine learning models
(2023-07)Frequent and devastating floods in India pose a significant threat to people and property. Accurate and real-time forecasting of floods is essential to mitigate their impact. This thesis focuses on evaluating di↵erent ... -
Consequential factors influencing student’s learning experience in online team teaching of computer programming courses
(Brac University, 2023-01)This study aims to explore the factors impacting how students learn in online pro gramming courses at the undergraduate level in Bangladeshi universities. In the semester of Summer 2022, an online questionnaire to evaluate ... -
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ... -
XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
(Brac University, 2023-07)Explainable AI (XAI) techniques are essential for comprehending machine learn- ing model predictions in a variety of fields, including healthcare. In this study, we highlight XOPSIS, a newly developed XAI method built ... -
Human activity recognition and authentication system
(Brac University, 2023-05)Automated surveillance motion detection and video data analysis are now crucial jobs for many industries. Understanding human behavior from security video data is crucial, especially in places like banks, hospitals, ... -
Resort management system
(Brac University, 2022-09-09) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ... -
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography (CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to diagnose a variety of disorders, including brain disease, whole-body ... -
Electronic voting system based on blockchain
(Brac University, 2022-09)The primary goal of this application is to create a voting app which is safe and the result is unchangeable. By using blockchain technology these goals can be achieved. Data in blockchain is not stored in only one location ... -
Skin lesion classification using different CNN models
(Brac University, 2023-05)The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ... -
References validation in scholarly articles using RoBERTa
(Brac University, 2023-05)In the recent era of technological advancement, evaluating references and assignments and validating those are some of the primary processes to justify the authenticity of a research work in the academic sector. The purpose ... -
A multi-level random key cryptosystem based on DNA encoding and state-changing mealy machine
(Brac University, 2023-02)Cryptography allows our data to be transmitted without giving sensitive information away. This is the art of hiding the information from the malicious third party and make the data accessible to only the sender and the ... -
LRFS: online shoppers’ behavior based efficient customer segmentation model
(Brac University, 2023-02)The popularity of online shopping has grown significantly across the globe in recent years. This research proposes a customer segmentation model LRFS, an extended version of LRF model, built specifically for online ... -
Identifying genes with location dependent noise variance in spatial transcriptomics data
(Brac University, 2022-12)Spatial transcriptomics (ST) holds the promise to identify the existence and extent of spatial variation of gene expression in complex tissues. Such analyses could help identify gene expression signatures that distinguish ... -
A healthcare digital twin system based on blockchain technology
(Brac University, 2023-04)Digital Twin (DT) is a technology that replicates any physical phenomenon from physical space to digital space in congruous with the physical form’s state. It does not confine to only spatial objects, any non-spatial ... -
Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)Plants assume a significant part in Earth’s nature by giving food, cover and keeping a solid environment.These plants contain some significant therapeutic qualities. Due to having fewer negative side effects and being ... -
Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
(Brac University, 2022-09)The stock market is unstable and generally unpredictable, as any one of us could have predicted. Researchers have been experimenting with time-series data to forecast future values for many years, with stock valuation ... -
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)Predictive analytics has received a lot of attention in recent years due to advances in supporting technology, particularly in the areas of big data and machine learning. In recent years, the uses of disease prediction ... -
A document vectorization approach to Resume Ranking System(RRS)
(Brac University, 2022-08)Technology transformed the way how job seekers apply for a job and recruiter’s hunting for a precise pick . Now, paper version of resume already become an outdated version of job application method. Electronic resume ... -
Smart worker solution
(Brac University, 2023-09)I made the website for the people who work daily basis to live, and could not raise their voice for proper right because, we call them labor, in our county they are the lowest living status people. I’ve seen all the time ...
