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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. ...
Extracting information from social media platform for early detection of depression among individuals
(Brac University, 2023-05)
In our world, 3.8% of the total population is suffering from depression and it is the
fourth major cause of death in 15-29 year olds. It is estimated that more than 75%
of people suffering from it in low and middle income ...
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
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 ...
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)
A bacterial illness called pneumonia causes inflammation in the air passages with one
or even both lungs. The disease can range from mild to life-threatening. Diagnosing
the disease at an earlier stage is crucial for the ...