School of Data and Sciences (SDS): Recent submissions
Now showing items 61-80 of 2374
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Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
(Brac University, 2024-05)Bangladesh suffers from the cumulative effects of floods brought on by water flashing from nearby hills, the accumulation of the inflow of water from upstream catchments, and locally heavy rainfall made worse by drainage ... -
TikNep: content analysis of Nepali TikTok users using natural language processing
(Brac University, 2024-05)Nepal, with an approximate population of 29 million, has over 2.2 million active TikTok users, TikTok has gained attention as a platform for self-expression and social connection among diverse age groups. Users in Nepal ... -
Blockchain-based mental health solution system
(Brac University, 2024)In recent years blockchain technology has evolved from finance to industrial usage, wellness to health, commerce to service sector. The convergence of blockchain technology and e-mental healthcare presents an evolutionary ... -
Smart detection and classification of fungal disease in rice plants using image processing techniques
(Brac University, 2024-05)One of the most crucial staple crops, rice (Oryza Sativa), feeds a significant percentage of the world’s population. However, fungal infections, which may significantly reduce yields and affect global food security, ... -
Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba
(Brac University, 2024-05)A fetal ultrasound is a safe pregnancy test that provides an image of the baby’s heart, head, and spine while also analyzing various aspects of its anatomy. Maternal-fetal ultrasound imaging is critical during pregnancy, ... -
Effects of horizontal gene transfer on bacteriophage infectivity
(Brac University, 2024-02)Bacterial infections and its treatment has been a concern for researchers and scientists for centuries. At first, the invention and treatment with antibiotics seemed like a promising and reliable solution to the problem. ... -
A comparative proteomic study of salt tolerance in Arabidopsis thaliana to identify strategies for improving salt tolerance in Solanum lycopersicum
(Brac University, 2024-06)Tomatoes are a significant crop globally, valued for their nutritional benefits and widely used in Bangladeshi households. However, soil salinity caused by heavy monsoons and tidal floods, leading to an excess of Na+ ... -
Antimicrobial resistance E. coli, Staphylococcus and Salmonella Hatirjheel lake and Buriganga river: a threat to water quality and public health
(Brac University, 2024-03)Antimicrobial resistance (AMR) poses a significant threat to global public health, with environmental reservoirs such as lakes and rivers playing a crucial role in its dissemination. This study addresses the prevalence and ... -
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
(Brac University, 2024-05)Plant diseases, particularly those affecting crop plants, pose a significant danger to world food security by compromising the quality and yield of agricultural produce. Mango leaf disease is one such example. Mango leaf ... -
A quantum Z-transform
(Brac University, 2019-12)We investigate a quantum analog of the classical Z-transform with the aim of making it implementable on quantum computers, potentially offering a speedup over the classical method. Unlike the discrete Fourier transform, ... -
Identifying code-mixed and code-switched hateful remarks on social media using NLP
(Brac University, 2024-05)Online bullying has prevailed for years in the vast cesspool that is commonly known as the online social media. Increasing use of social media and online communication has led to a rise in cyberbullying– which is often ... -
Exploring machine learning techniques for symptom-based detection of livestock diseases
(Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
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. ... -
Antibiotic susceptibility patterns of pathogenic bacteria Iiolated from the surface of tables in local restaurants in Dhaka city
(Brac University, 2024-05)Pathogenic bacteria pose a significant threat to public health, particularly impacting vulnerable populations with compromised immune systems. Identifying the sources of pathogenic bacteria is important to prevent infections. ... -
Isolation of Klebsiella pneumoniae from water and hand swabs of vegetable vendors collected from the wet markets of Dhaka city
(Brac University, 2023-11)Klebsiella pneumoniae (K. pneumoniae) is considered one of the major causes of human hospital infections which is found in human intestine. This bacterium belongs to the Enterobacteriaceae family, and this is a gram-negative, ... -
Identification of uropathogens and antimicrobial resistance of urinary tract infections at tertiary medical college in Bangladesh
(Brac University, 2024)The goal of this study was to determine the frequency of different bacterial microorganisms and their antibiotic sensitivity in urine infections. Antimicrobial resistance has been steadily increasing for a number of years, ... -
Statistical analysis of network data flows and predictions using statistical and machine learning regression models
(Brac University, 2024-05)This paper presents a statistical analysis of measurements relating to network’s data flows and predictions using statistical and machine learning regression models. The study’s objective is to use statistical methods ... -
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 ...
