Residential College | false |
Status | 已發表Published |
Artificial Intelligence for Coronavirus Outbreak | |
Fong, Simon1; Dey, Nilanjan2; Chaki, Jyotismita3 | |
Subtype | 著Authored |
2021-07 | |
Publisher | Springer |
Publication Place | Switzerland |
Abstract | 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. |
Keyword | Coronavirus Covid-2019 Artificial Intelligence Disease Surveillance Epidemic Monitoring And Control Public Health Data Mining Deep Learning Data Analytics Data Science |
ISBN | 978-981-15-5935-8 |
DOI | 10.1007/978-981-15-5936-5 |
URL | View the original |
Is Part of Series | Springer Briefs in Applied Sciences and Technology ; Springer Briefs in Applied Sciences and Technology |
Indexed By | BKCI-S |
WOS Subject | Computer Science, Artificial Intelligence |
Fulltext Access | |
Citation statistics | |
Document Type | Book |
Collection | Faculty of Science and Technology DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Affiliation | 1.University of Macau, Macau SAR 2.Techno International New Town, Kolkata, India 3.Vellore Institute of Technology, Vellore, India |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Fong, Simon,Dey, Nilanjan,Chaki, Jyotismita. Artificial Intelligence for Coronavirus Outbreak[M]. Switzerland:Springer, 2021. |
APA | Fong, Simon., Dey, Nilanjan., & Chaki, Jyotismita (2021). Artificial Intelligence for Coronavirus Outbreak. Springer. |
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