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How GANs assist in Covid-19 pandemic era: a review
Saleh, Yahya Sherif Solayman Mohamed
Faculty of Computing, Engineering and Technology, Asia Pacific University, Kuala Lumpur, Malaysia.
Mokayed, Hamam
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0001-6158-3543
Nikolaidou, Konstantina
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0002-9332-3188
Alkhaled, Lama
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0003-1343-1742
Hum, Yan Chai
Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long, Malaysia.
ORCID iD:
0000-0002-9657-8311
Show others and affiliations
2024 (English)
In:
Multimedia tools and applications, ISSN 1380-7501, E-ISSN 1573-7721, Vol. 83, no 10, p. 29915-29944
Article, review/survey (Refereed) Published
Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 83, no 10, p. 29915-29944
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Research subject
Machine Learning
Identifiers
URN:
urn:nbn:se:ltu:diva-101620
DOI:
10.1007/s11042-023-16597-y
Scopus ID:
2-s2.0-85170832380
OAI: oai:DiVA.org:ltu-101620
DiVA, id:
diva2:1804065
Note
Validerad;2024;Nivå 2;2024-04-09 (hanlid)
Available from:
2023-10-11
Created:
2023-10-11
Last updated:
2024-04-09
Bibliographically approved
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Mokayed, Hamam
Nikolaidou, Konstantina
Alkhaled, Lama
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