A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
author
Rasheed, Jawad
Jamil, Akhtar
Draheim, Dirk
statement of authorship
Jawad Rasheed, Akhtar Jamil, Alaa Ali Hameed, Usman Aftab, Javaria Aftab, Syed Attiqu Shahd, Dirk Draheim
source
Chaos, solitons & fractals
publisher
Elsevier
journal volume number month
vol. 141
year of publication
2020
pages
art. 110337, 17 p
url
https://doi.org/10.1016/j.chaos.2020.110337
subject term
tehisintellekt
tehisõpe
sügavõpe
koroonaviirus SARS-CoV-2
koroonahaigus
keyword
artificial intelligence (AI)
computer-aided diagnosis
deep learning (DL)
machine learning (ML)
infectious diseases
COVID-19
SARS-CoV-2 virus
ISSN
0960-0779
notes
Bibliogr.: 168 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/25347
https://www.scopus.com/record/display.uri?eid=2-s2.0-85092745345&origin=inward&txGid=b4978c110da8f505470b2b88e83d0e71
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=CHAOS%20SOLITON%20FRACT&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000597223300008
category (general)
Mathematics
Matemaatika
Physics and astronomy
Füüsika ja astronoomia
category (sub)
Mathematics. Mathematical physics
Matemaatika. Matemaatiline füüsika
Mathematics. Applied mathematics
Matemaatika. Rakendusmatemaatika
Physics and astronomy. Statistical and nonlinear physics
Füüsika ja astronoomia. Statistiline ja mittelineaarne füüsika
Physics and astronomy. General physics and astronomy
Füüsika ja astronoomia. Üldfüüsika ja astronoomia
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Information systems group