Openly accessible

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

Nguyen, DC, Ding, M, Pathirana, Pubudu and Seneviratne, A 2021, Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey, IEEE Access, vol. 9, pp. 95730-95753, doi: 10.1109/ACCESS.2021.3093633.

Attached Files
Name Description MIMEType Size Downloads

Title Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Author(s) Nguyen, DC
Ding, M
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Seneviratne, A
Journal name IEEE Access
Volume number 9
Start page 95730
End page 95753
Total pages 24
Publisher IEEE
Place of publication Piscataway,N.J.
Publication date 2021
ISSN 2169-3536
Keyword(s) Artificial intelligence
Artificial Intelligence (AI)
ARTIFICIAL-INTELLIGENCE
BIG DATA
Blockchain
Computer Science
Computer Science, Information Systems
coronavirus (COVID-19)
Coronaviruses
COVID-19
deep learning
Diseases
Engineering
Engineering, Electrical & Electronic
epidemic
INTERNET
IOT
machine learning
Medical services
Pandemics
privacy
SARS-CoV-2
Science & Technology
security
SYSTEM
TECHNOLOGIES
Technology
Telecommunications
Language eng
DOI 10.1109/ACCESS.2021.3093633
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:30154097

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

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.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 42 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 02 Aug 2021, 20:55:45 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.