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An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)
Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic
abnormalities or mutations, rising day by day. Detecting and diagnosing skin
cancer in its early stages is expensive and challenging, ...
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)
Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ...
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...
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 ...
Music genre classification with convolutional neural network
(Brac University, 2022-01)
Today, Music is one of the effective forms of entertainment. Everyday new Music
is being composed, and the quantity of Music is increasing day by day. So, it is
essential to classify or categorize Music into different ...
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 ...
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 ...
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)
With the emergence of Generative Models for creating Deepfake images, and videos
of high quality, which are extremely realistic and hard to recognize, several social,
and political issues have come to light. DeepFakes ...
Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)
There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
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 ...