國立虎尾科技大學 |

Artificial Intelligence for Coronavirus Outbreak

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial Intelligence for Coronavirus Outbreak/ by Simon James Fong, Nilanjan Dey, Jyotismita Chaki.
作者:	Fong, Simon James.
其他作者:	Chaki, Jyotismita.
面頁冊數:	XI, 74 p. 36 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Health Informatics. -
電子資源:	https://doi.org/10.1007/978-981-15-5936-5
ISBN:	9789811559365

Artificial Intelligence for Coronavirus Outbreak
Fong, Simon James.

Artificial Intelligence for Coronavirus Outbreak[electronic resource] /by Simon James Fong, Nilanjan Dey, Jyotismita Chaki. - 1st ed. 2021. - XI, 74 p. 36 illus., 32 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3712. - SpringerBriefs in 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

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

593963
Health Informatics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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