| Residential College | false |
| Status | 已發表Published |
| Conclusion | |
Simon James Fong1  ; Nilanjan Dey2; Jyotismita Chaki3
| |
| 2021 | |
| Source Publication | Artificial Intelligence for Coronavirus Outbreak |
| Author of Source | Simon James Fong, Nilanjan Dey, Jyotismita Chaki |
| Publication Place | Singapore |
| Publisher | Springer |
| Pages | 73-74 |
| Abstract | This book shows a buffet of artificial intelligence applications from drone to deep learning and from data analysis to the prediction of next pandemic disease along with its drug discovery. Today the entire globe is under the threat of COVID-19 affecting around 200 countries. The death toll reported in these highly affected countries has become catastrophic. |
| DOI | 10.1007/978-981-15-5936-5_4 |
| URL | View the original |
| Language | 英語English |
| ISBN | 978-981-15-5936-5 |
| Scopus ID | 2-s2.0-85087544472 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Book chapter |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Corresponding Author | Simon James Fong |
| Affiliation | 1.Department of Computer and Information Science,University of Macau,Taipa,Macao 2.Department of Information Technology,Techno International New Town,Kolkata,India 3.School of Information Technology and Engineering,Vellore Institute of Technology,Vellore,India |
| First Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Simon James Fong,Nilanjan Dey,Jyotismita Chaki. Conclusion[M]. Artificial Intelligence for Coronavirus Outbreak, Singapore:Springer, 2021, 73-74. |
| APA | Simon James Fong., Nilanjan Dey., & Jyotismita Chaki (2021). Conclusion. Artificial Intelligence for Coronavirus Outbreak, 73-74. |
| Files in This Item: | There are no files associated with this item. | |||||
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