P. Suresh, KPR Institute of Engineering and Technology Coimbatore, India.
P. Robert, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, India.
A. Padmavathi, Amirtha school of engineering, India.
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :487-490
Abstract
An anticipated outbreak of corona virus (COVID-19) brings out the severe acute respiratory syndrome and corona-virus- 2(SARS-COV-2) attacked in Wuhan city, china beginning of February 2020. World health organization (WHO) announced the outburst of pandemic disease through public health emergency of international concern. A variety of control measures has been taken by the government to control the disease. The investigation can be done about the pathogen and current epidemic. The world healthcare system has a major concern for new infectious diseases like covid-19 and needs new technological support. Deep learning in Artificial intelligence (AI) helps the world by safeguard the people from pandemic disease. Our aim is to investigate the AI based deep learning algorithm to analyze, prevent and prepare to defend against covid-19 and similar infectious disease.
Keywords
COVID-19, SARS-COV-2, World health organization, Pandemic, Epidemic, Deep learning, Artificial intelligence.
Cite this article
P. Suresh, P. Robert and A. Padmavathi, “Deep Learning Applications and Perspectives: COVID 19”, Innovations in Information and Communication Technology, pp.487-490, December 2020.
Copyright
© 2020 P. Suresh, P. Robert and A. Padmavathi. Jenifa. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
