Analysis of COVID-19 Pandemic Using Artificial Intelligence-Reference-Cited by-同舟云学术

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Analysis of COVID-19 Pandemic Using Artificial Intelligence

Published:2020 Issue: Volume: Page:65-73
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
Short-container-title:

Author:

Amjad Maaz,Chavez Yuriria Rodriguez,Nayab Zaryyab,Zhila Alisa,Sidorov Grigori,Gelbukh Alexander

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-60887-3_6

Reference27 articles.

1. Petrosillo, N., Viceconte, G., Ergonul, O., Ippolito, G., Petersen, E.: COVID-19, SARS and MERS: are they closely related? Clin. Microbiol. Infect. 26, 729–734 (2020)

2. Cui, J., Li, F., Shi, Z.-L.: Origin and evolution of pathogenic coronaviruses. Nat. Rev. Microbiol. 17(3), 181–192 (2019)

3. Fehr, A.R., Perlman, S.: Coronaviruses: an overview of their replication and pathogenesis. Coronaviruses 1282, 1–23 (2015). Humana Press, New York

4. van der Hoek, L., et al.: Identification of a new human coronavirus. Nat. Med. 10(4), 368–373 (2004)

5. Vabret, A., et al.: Human coronavirus NL63, France. Emerg. Infect. Dis. 11(8), 1225 (2005)

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1. GLDM: Geo-location prediction of twitter users with deep learning methods1;Journal of Intelligent & Fuzzy Systems;2023-08-01

2. FluSa-Tweet: A Benchmark Dataset for Influenza Detection in Saudi Arabia;2022 13th International Conference on Information and Communication Systems (ICICS);2022-06-21

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