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Optimal transport theory based GAN for medical image augmentation and classification
(Brac University, 2023-01)
Unsupervised neural networks called Generative Adversarial Networks (GANs) are
used to provide realistic pictures without relying on the original data. Due to dis parities in illness occurrence, the challenge of class ...
Stock price prediction
(Brac University, 2023-05)
Accurately predicting the stock value enables investors to earn more money, reducing
their uncertainty on whether to buy and sell. Again during the COVID-19 period,
many companies have shown a different picture of the ...
Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
(Brac University, 2023-01)
As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX
virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19,
but new patient cases are recorded every day from a wide ...
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
(Brac University, 2023-01)
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ...