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Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
(Brac University, 2022-05)
Machine learning (ML) is such a field that focuses on learning based method. It
basically leverage data to improve the performance on particular tasks. It creates a
model based on training data and makes prediction ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Integration of handcrafted and deep neural features for Melanoma classification
(Brac University, 2021-09)
Deep neural networks (DNNs) are widely utilized to automate medical image in-
terpretation in many forms of cancer diagnosis and to support medical specialists
with fast data processing. Although man-made characteristics ...
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
(Brac University, 2021-09)
Alzheimer’s Disease (AD) is a neurological condition where the decline of brain
cells causes acute memory loss and severe loss in cognitive functionalities. Various
Neuroimaging techniques have been developed to diagnose ...
Early detection of cervical cancer using deep neural networks
(Brac University, 2022-05)
Cervical cancer is a disease that is mostly preventable, but it is one of the major
causes of cancer fatality in women worldwide. Several studies say that annually
2,60,000 women die because of cervical cancer. Chronic ...
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)
Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ...
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)
Handwritten letter classification of any given language has the potential to be used
in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ...
Pest detection system using machine learning techniques
(Brac University, 2022-01)
Countries like Bangladesh yield a significant portion of their economy from their
agricultural sector. Agricultural pests, on the other hand, have a significant impact
on both agricultural production and crop storage. ...
A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
(Brac University, 2022-09-28)
The significant advancements in computational power create the vast opportunity
for using Artificial Intelligence in different applications of healthcare and medical
science. A hybrid FL-enabled ensemble approach for ...