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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 ...
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)
In every 100 years, there has been a pandemic all around the world. The globe faced
Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively.
Coronavirus, commonly known as Covid-19, is currently ...
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-06)
Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
Detecting fake news on Covid-19 using machine learning algorithms
(Brac University, 2022-05-29)
The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human ...
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)
The world stood still during the massive breakout of the Covid-19 worldwide. This
massive outbreak of this contagious disease was occurred by being airborne. Not
only COVID but also there are many other contagious disease ...
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-01)
Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
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 ...
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 ...