Publication Type : Journal Article
Publisher : ECS Transactions
Source : ECS Transactions 107 (1),1475, 2022
Url : https://iopscience.iop.org/article/10.1149/10701.1475ecst
Campus : Bengaluru
School : School of Engineering
Year : 2022
Abstract : The article is regarding infectious disease, which has been affecting people all around the world since December 2019. Write-up gives a brief introduction of the Coronavirus from its emergence to the final solution of its exit. It gives us a glimpse of the biological structure of the virus, precautions to be taken in care to reduce the spread of the disease. The description shows us the consequences of the virus-like the mortality rate and the life expectancy rate. The article also presents a few vaccines development projects as a whole to fight COVID-19. It also describes the efficacy of vaccination and the post-vaccination symptoms. In the end, the write-up presents real-time neural network-based applications to fight COVID-19 and a few machine learning and deep learning techniques to diagnose a COVID-19 infected person. The final part of the article concludes with an artificial neural network and statistical neural network-based approaches to identify the rate of infection risk in a country.
Cite this Research Publication : K V Nagaraja, H Pothina, S Devi, MV Reddy, TD Panda, An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19, ECS Transactions 107 (1),1475, 2022