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Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts

Pham, Quoc-Viet, Nguyen, Dinh C, Huynh-The, Thien, Hwang, Won-Joo and Pathirana, Pubudu 2020, Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts, IEEE access, vol. 8, pp. 130820-130839, doi: 10.1109/ACCESS.2020.3009328.

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Title Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts
Author(s) Pham, Quoc-Viet
Nguyen, Dinh C
Huynh-The, Thien
Hwang, Won-Joo
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Journal name IEEE access
Volume number 8
Start page 130820
End page 130839
Total pages 19
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Artificial intelligence
Big Data
Drugs
Government
Viruses (medical)
Computational modeling
COVID-19
Artificial intelligence (AI)
coronavirus
epidemic outbreak
deep learning
data analytics
machine learning
Language eng
DOI 10.1109/ACCESS.2020.3009328
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30140900

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Created: Mon, 17 Aug 2020, 15:55:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.