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Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)
The world is going through a severe viral pandemic which is caused by COVID-
19. People infected with this virus, experience severe respiratory illness. The virus
spreads through particles of saliva or droplets from an ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)
There are signi cant amount of di erences between an addicted and non-addicted
person on their social and familial behavior. In our thesis we tried to nd out
the characteristics of a person related to his social and ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...
Handwritten character recognition using neural network
(Brac University, 2020-04)
Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic ...
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 ...
X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)
Diagnosis with X-Rays and other forms of medical images has soared to new heights
as an alternative visual Covid infection detector. Radiographic images, primarily
CT scans and X-Rays images play massive roles in assisting ...
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 ...
Deepfake detection using neural networks
(Brac University, 2021-09)
Deepfake is a sort of arti cial intelligence that forge original image or video and
create persuading images, audio and video hoaxes by utilizing two contending AI
algorithms-the generator and discriminator that form a ...
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)
Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores,
robots, infrastructure and surveillance monitoring programs ...