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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 ...
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 ...
What is relevant in a text document a machine learning based approach
(Brac University, 2021-06)
Text Documents often contain valuable data. But not all data is relevant. That is
why extracting relevant data from text documents is an essential task. Extracting
relevant data from text documents refers to the study ...
Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)
Accent is a huge challenge in communication for all languages. Different people
who speak the same language might pronounce the same word differently. In a
conversation, if two people are from different regions and they ...
Detecting brain tumor using deep neural networks from MRI images
(Brac University, 2021-06)
A brain tumor is a collection of abnormal cells growth in brain. It is a neurological
disease which causes great damage and affects other healthy cells of brain. It can be
cancerous or non-cancerous. Nowadays, people are ...
A deep learning approach towards soft biometrics attributes prediction using CNN
(Brac University, 2021-09)
Any physical, behavioural or adhered human characteristics that we can observe
from a person is known as Soft Biometric.The most common physical soft biometric
attributes are height, age, ethnicity, facial hairs, gender, ...
Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
FoodieCal: a convolutional neural network based food detection and calorie estimation system
(Brac University, 2021-01)
According to recent studies across the world, we can see that a healthy diet is the key
to having a sound health and body. People nowadays are more concerned with their
diets than ever before. With the advancement of ...
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)
Retinal disease diagnosis by machine learning can be achieved using Deep Neural
Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the
potential to explain the black box of those neural network ...
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)
Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...