Artificial Intelligence for Coronavirus Outbreak / by Simon James Fong, Nilanjan Dey, Jyotismita Chaki.

By:

Fong, Simon James

Contributor(s):

Material type: Text

TextSeries: SpringerBriefs in Computational IntelligencePublication details: Singapore: Springer, c2021.Edition: 1st ed. 2021Description: 1 online resource (XI, 74 p. 36 illus., 32 illus. in color.) online resource. 23 cmISBN:

9789811559365
9789811559358
9789811559372

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23 FON-S 2021 789506

Online resources:

Full text available from Springer Intelligent Technologies and Robotics eBooks 2021 English/International

Contents:

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

In: Springer Nature eBookSummary: 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.

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	Faculty of CS & IT Library CS & IT Shelf No. 43 New Arrival	Book	006.3 FON-S 2021 789506 (Browse shelf(Opens below))	C 1	Available		789506

Total holds: 0

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.