Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 161-180 of 1496
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Exploring the psychological factors of consumer purchase behavior in Bangladesh on the adoption of digital payment apps
(Brac University, 2024-01)Consumer purchase behavior and its relation with human psychology is a fascinating and important field of study. Understanding consumer behavior and factors that can drive their decision on adopting new products and ... -
An efficient ML approach to detect brain tumor using MRI images
(Brac University, 2023-05)Brain tumors have become the most leading causes of death worldwide. Brain tumors can be fatal, have a severe impact on quality of life, and completely alter a patient’s and their loved ones’ lives. Early diagnosis of ... -
Automatic motor vehicle number plate recognition
(Brac University, 2024-01)The purpose of this initiative is to develop automatic motor vehicle number plate recognition (Bangla) using machine learning, identifying and taking out the numbers of license plates from photos. By using this system ... -
Analyzing students’ concentration in online courses through Webcam
(Brac University, 2024-01)Online learning is growing in popularity these days. As a result, students typically contribute millions of course-related responses to discussion forums and exchange some learning experiences. This study focuses on ... -
Leveraging sequential deep learning models for detecting multitude of human action categories
(Brac University, 2023-09)In today’s world, where science and technology are constantly evolving day by day, people are drawn to tangible experiences and visual representations. There’s a growing effort to teach machines about human movements and ... -
Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
(Brac University, 2024-01)The increasing number of elderly individuals living alone has emerged as a pressing global concern. Our research aims to address this issue by developing advanced modules that can be integrated into a system that enhances ... -
A comprehensive NLP-based voice assistant system for streamlined information retrieval in metro rail services of Bangladesh
(Brac University, 2024-01)Bangladesh’s capital city Dhaka is served by the Dhaka Metro Rail. A metro-rail based rapid transit system is considered one of the important technologies that may decrease the working-hour wasting issue in a developed ... -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
(Brac University, 2024-01)Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ... -
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)This research introduces a hybrid recommendation system through sentiment analysis for Bangla long textual sentences. Social media, as a vast source of opinions, can be harnessed through sentiment analysis using deep ... -
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
(Brac University, 2024-01)Early detection of retinal diseases can help people avoid going completely or partially blind. In this research, we will be implementing an interpretable diagnosis of retinal diseases using a hybrid model containing ... -
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ... -
A study on the efficacy of natural language generation techniques for similar writing personalities
(Brac University, 2024-01)Over the past two decades, the domain of Natural Language Processing has undergone a remarkable transformation enabling machines to generate text, summarize content, paraphrase and analyze sentiment. The captivating idea ... -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)Cancer is a complex and highly invasive disease that forms due to the abnormal growth of cells in any part of the body. A majority of cancers are unraveled and treated by incorporating advanced technology. However, ovarian ... -
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized by abnormal enhancement of the meninges following trauma, often observed in medical imaging studies. Traumatic meningeal injuries result ... -
Deep learning based early Glaucoma detection
(Brac University, 2024-01)Glaucoma is a severe eye condition that can lead to progressive vision impairment if left untreated. Diagnosis and monitoring of glaucoma at an initial stage is critical for effective treatment of the disease. However, ... -
Synergizing IoT and digital twin technology for revitalizing the ready made garments industry’s supply chain through simulation and modeling
(Brac University, 2023-09)The Internet of Things (IoT) is creating a revolutionary impact on the current technological solutions and dynamic industries. The Supply Chain System of the Ready-Made Garments (RMG) industry can be uplifted using IoT ... -
Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
(Brac University, 2024-01)The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the speedy management and intervention of the disorder. Numerous valuable tools such as Magnetic Resonance Imaging (MRI), Positron Emission ... -
Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
(Brac University, 2023-09)In recent years, road safety has emerged as a critical concern due to the increasing number of accidents attributed to driver negligence and fatigue. This thesis addresses this pressing issue by proposing a Real-Time ... -
Automated reference validation for scholarly publications using NLP
(Brac University, 2024-01)Accurate references in scholarly publications are a crucial aspect of scientific writing. The manual validation of references can be a time-consuming and error-prone process. This research introduces an updated version ...
