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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 ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the
fast development of the Web. For this reason, consumers change their tendency
from customary shopping to the electronic business. In the time ...
Modelling option prices using neural networks
(Brac University, 2019)
In this research, modelling of the European option prices of S&P 500 index options
was carried out using Multi-layer Perceptron Neural Networks. The goal was to
train the neural networks using historical data to accurately ...
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 ...