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Artificial intelligence for coronavi...

Chaki, Jyotismita.

Artificial intelligence for coronavirus outbreak

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for coronavirus outbreakby Simon James Fong, Nilanjan Dey, Jyotismita Chaki.
Author:	Fong, Simon James.
other author:	Dey, Nilanjan.
Published:	Singapore :Springer Singapore :2021.
Description:	xi, 74 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	COVID-19 (Disease)Data processing.
Online resource:	https://doi.org/10.1007/978-981-15-5936-5
ISBN:	9789811559365$q(electronic bk.)

Artificial intelligence for coronavirus outbreak
Fong, Simon James.

Artificial intelligence for coronavirus outbreak[electronic resource] /by Simon James Fong, Nilanjan Dey, Jyotismita Chaki. - Singapore :Springer Singapore :2021. - xi, 74 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

An Introduction to COVID-19 -- AI-enabled Technologies that Fight the Coronavirus Outbreak -- AI-empowered Data Analytics for Coronavirus Epidemic Monitoring and Control -- Conclusion.

This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives. The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.

ISBN: 9789811559365$q(electronic bk.)

Standard No.: 10.1007/978-981-15-5936-5doiSubjects--Topical Terms:

875985
COVID-19 (Disease)
--Data processing.

LC Class. No.: RA644.C67 / F65 2021

Dewey Class. No.: 614.592414

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