Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 61-80 of 1495
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Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
(Brac University, 2024-05)In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ... -
Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ... -
Trash detection in an aquatic environment
(Brac University, 2024-01)Trash in the water bodies is alarming for the world nowadays. As it is a limited source, pollution caused by the trash is threatening for the environment, wild-life and long term effect for the human health and economy. ... -
An efficient handwritten Bangla character recognition system using computer vision and natural language processing
(Brac University, 2023-09)An efficient handwritten character recognition system for an alpha-syllabary language like Bangla has always been a challenging issue. Despite being in demand, the number of papers being conducted on this was very ... -
Brain tumor segmentation from MRI images using convolutional neural networks
(Brac University, 2022)Brain tumors result from the accumulation of abnormal cells inside the brain. The process of brain tumor segmentation plays a vital role in detecting early-stage brain tumors. There are several challenges in the tumor ... -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
(Brac University, 2024)One of the deadliest and most difficult tumors to cure is a brain tumor. Patients diagnosed with brain tumors tend to have a comparatively shorter lifespan. This tumor can affect any individual of any age. To mitigate ... -
Detecting propagandistic poster title: a machine learning approach
(Brac University, 2024-03)Detecting propagandistic content is crucial in today’s digital age where misinformation spreads rapidly. In this study, we propose a machine learning approach aimed at identifying propaganda in poster titles. Our methodology ... -
Image generation from freehand sketches using Diffusion Models
(Brac University, 2024-05)Significant advancements have been made in the field of image-to-image translation and image synthesis in recent years. Generation of images from sketches is a popular topic in this field. It has many use cases in ... -
Dynamic authentication protocols for advanced security in federated metaverse systems
(Brac University, 2024-01)Metaverse is a dynamic virtual reality-based environment that is rapidly revolution izing digital engagement. The Metaverse is propelled by the integration of tech nologies like blockchain, augmented reality, virtual ... -
SSI-Federation: facilitating identity federation using self sovereign identity for Web-services
(Brac University, 2024-06)Identity federation means entrusting an entity’s online identity verification to an external organization. Identity Federation’s basic concept is that an IdP or Identity provider ensures an entity’s identity to the SP ... -
Privacy-preserving healthcare data management system using blockchain technology
(Brac University, 2022-05)In recent years, blockchain technology has gotten plenty of attention, with rising interest in an exceedingly type of way resembling as-Banking, Telecommunication, IoT, aid etc. Each different sector, Blockchain has ... -
The influence of neuromarketing: machine learning based empirical analysis
(Brac University, 2023-09)This study attempts to investigate the topic of neuromarketing and how it has be come an emerging topic that might be used as a tool for market research. Both academic writing and real-world marketing are embracing ... -
Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
(Brac University, 2024-05)In a rapidly developing linguistic technology, the key role of phoneme recognition consists of understanding language and language learning. The research will be framed where a recognition system is developed for the ... -
Analyzing security threats and mitigation techniques for fog computing in IoT-enabled smart cities
(Brac University, 2024-06)In the midst of rising urbanization and advancements in technology, Smart Cities have developed as a crucial response to the complexities associated with urban liv ing. A significant contribution to the development of ... -
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
(Brac University, 2024-06)There is a pressing need to revise the current diagnostic framework for renal abnor mality due to the projected increase in its global prevalence as about 10% of people worldwide are suffering from renal diseases. ... -
Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
(Brac University, 2024-06)Machine Reading Comprehension (MRC) is an artificial intelligence task that ex amines a given passage or text and answers queries regarding it. The objective is to make an intelligent support system that has the ability ... -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
(Brac University, 2024-05)The early and accurate diagnosis of brain tumors is a critical challenge in medi cal imaging, significantly impacting treatment outcomes and patient survival rates. Despite the advancements in imaging technologies, the ... -
Unsupervised semantic segmentation for localization of wetland area fluctuations
(Brac University, 2024-05)This research delves deeply into the intricate dynamics of wetlands in Bangladesh, with a particular focus on the haors, utilizing continuous monitoring to grasp the nuanced temporal changes that occur. It introduces ... -
Customizing solutions: an internship journey in ABAP SAP development and custom reporting at Eitekh ERP LTD
(Brac University, 2024-06)This internship defense report describes a transforming journey of professional growth and development in the field of SAP ERP consulting. I received invaluable insights, refined essential skills, and made substantial ... -
GNN model for classification of SARS-CoV-2 severity in molecules
(Brac University, 2024-05)In a time when healthcare issues and diseases get more complex every day, it becomes evident that efficient and precise disease detection and classification are invaluable. Through the quick development of machine ...
