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Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)
Plants assume a significant part in Earth’s nature by giving food, cover and keeping
a solid environment.These plants contain some significant therapeutic qualities. Due
to having fewer negative side effects and being ...
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)
The fact that insecticidal pests impair significant agricultural productivity has become
one of the main challenges in agriculture. There are, nevertheless, several
requirements for a high-performing automated system ...
Plant leaf disease identification
(Brac University, 2023-01)
Agriculture has consistently been an essential component of our day-to-day life over
the centuries. Because of its contribution to our country’s revenue, the importance
of agriculture has been steadily growing over the ...
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
(Brac University, 2021-08)
With the recent advancement in artificial intelligence, the demand for handwrit-
ten character recognition increases day by day due to its widespread applications
in diverse real-life situations. As Bangla is the world’s ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)
This research work aims to show a comparative analysis among four different deep
learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)
Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory.
This is a successively growing disease which means the severity of it will be upward
with the time. In this century, AD is one of the ...
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 ...