Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
| Publication date | 9/09/2022 |
|---|---|
| Host publication | Advanced Sciences and Technologies for Security Applications |
| Editors | Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, Eran A. Edirisinghe |
| Publisher | Springer |
| Pages | 133-145 |
| Number of pages | 13 |
| ISBN (electronic) | 978-3-031-04424-3 |
| ISBN (print) | 978-3-031-04423-6 |
| <mark>Original language</mark> | English |
| Name | Advanced Sciences and Technologies for Security Applications |
|---|---|
| ISSN (Print) | 1613-5113 |
| ISSN (electronic) | 2363-9466 |
COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city.