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
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
en
Matemaatika
et
Physics and astronomy
en
Füüsika ja astronoomia
et
category (sub)
Mathematics. Mathematical physics
en
Matemaatika. Matemaatiline füüsika
et
Mathematics. Applied mathematics
en
Matemaatika. Rakendusmatemaatika
et
Physics and astronomy. Statistical and nonlinear physics
en
Füüsika ja astronoomia. Statistiline ja mittelineaarne füüsika
et
Physics and astronomy. General physics and astronomy
en
Füüsika ja astronoomia. Üldfüüsika ja astronoomia
et
kvartiil
Q1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Information systems group