https://hdl.handle.net/1959.11/42902
Title: | COVID-19 Control by Computer Vision Approaches: A Survey | Contributor(s): | Ulhaq, Anwaar (author); Born, Jannis (author); Khan, Asim (author); Gomes, Douglas Pinto Sampaio (author); Chakraborty, Subrata (author) ; Paul, Manoranjan (author) | Publication Date: | 2020-10-12 | Early Online Version: | 2020-09-29 | Open Access: | Yes | DOI: | 10.1109/ACCESS.2020.3027685 | Handle Link: | https://hdl.handle.net/1959.11/42902 | Abstract: | Publication Type: | Journal Article | Source of Publication: | IEEE Access, v.8, p. 179437-179456 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Place of Publication: | United States of America | ISSN: | 2169-3536 | Fields of Research (FoR) 2020: | 460102 Applications in health 461103 Deep learning 460308 Pattern recognition |
Socio-Economic Objective (SEO) 2020: | 209999 Other health not elsewhere classified 280115 Expanding knowledge in the information and computing sciences |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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File | Description | Size | Format | |
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openpublished/COVID19Chakraborty2020JournalArticle.pdf | Published Version | 3.32 MB | Adobe PDF Download Adobe | View/Open |
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