School of Data and Sciences (SDS): Recent submissions
Now showing items 281-300 of 2374
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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 ... -
Polycystic ovary syndrome detection using neural network.
(Brac University, 2023-01)A fairly frequent endocrine abnormality among women of reproductive age is polycystic ovary syndrome (PCOS). In this disease, the ovaries produce abnormally high levels of androgens, which are male sex hormones that are ... -
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)This work aims to analyze the potential of deep neural models for text-based entailment in Bangla Language. Entailment is the method of determining whether one text infers or goes against another text. The study concentrates ... -
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)Classifying retinal diseases with a higher accuracy rate is one of the most important means in the medical field. In the case of image classification, finding a dataset becomes a significant challenge for such cases. As ... -
Behavior change analysis due to violent video gaming using deep learning models
(Brac University, 2024-02)In the 21st century, technology has advanced at such a wondrous rate that people resort to this developed medium to carry out most of their tasks, from household chores to daily necessities and almost everything else. ... -
A smart avatar tutor for mimicking characters of Bangla sign language
(Brac University, 2024-01)This paper presents an efficient novel approach to developing a smart avatar tutor for teaching Bangla Sign Language (BSL). The avatar is designed to mimic the numbers and alphabets used in BSL, providing an interactive ... -
Identifying hate speech of Bangla language text using natural language processing
(Brac University, 2024-01)In this era of the internet, sharing information through social media has provided significant benefits to humans. People can easily access and observe others’ lifestyles and work, as well as make comments or share ... -
An integrated approach: fake review detection using convBERT-BiLSTM classification
(Brac University, 2024-01)In the era of E-commerce, online reviews significantly shape consumer buying decisions and store evaluations. However, the prevalence of unethical practices such as review manipulation poses a considerable challenge. ... -
Advancing medical image security: a hybrid DNA-AES based cryptosystem
(Brac University, 2024-01)In today’s technological age, it is simple to obtain someone’s personal information via data transmission, especially for those who don’t use sufficient data security throughout the process. Data breaches are now a ... -
UI development and functionality testing automation in android application
(Brac University, 2023)Software Automation Process involves automating the software testing process entailing machine learning models and methodologies. This may entail procedures like test case prioritization, selection and test case generation. ... -
Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
(Brac University, 2024-01)As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid- 19 has persisted in human populations for approximately three and a half years rapidly, continually exhibiting swift and unpredictable mutations. ...
