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An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
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 ...
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 ...
Automated fabric color prediction
(Brac University, 2023-05)
"This paper focuses on addressing some challenges faced by colorists and explores
various approaches to predict fabric color changes after dyeing processes. It empha-
sizes the importance of color prediction in the textile ...
Enhanced hate speech detection in social media using transformer-based models
(Brac University, 2024-01)
Hate speech on social media can escalate into ”cyber conflict,” detrimentally impacting
social life. With the exponential growth of Internet users and media content,
identifying abusive language in audio and video content ...
Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
(Brac University, 2024-01)
In this project, we delve deeper into the complex area of predicting a potential replacement
of a footballer of a specific position. For that, we used multiple machine
learning models on the Sofifa dataset. Our analysis ...
Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
(Brac University, 2024-01)
As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid-
19 has persisted in human populations for approximately three and a half years
rapidly, continually exhibiting swift and unpredictable mutations. ...
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)
The brain is the command center of our nervous system, which enables thoughts,
memories, movements, and emotions. In other words, it is the most important organ
in the human body. The human brain is very vulnerable to ...