A short analysis of hybrid approaches in covid‑19 for detection and diagnosing

dc.contributor.author	Simic, D.
dc.contributor.author	Bankovic, Z.
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Calvo Rolle, J. L.
dc.contributor.author	Simic, S.D.
dc.contributor.author	Simic, S.
dc.date.accessioned	2025-02-07T07:24:10Z
dc.date.available	2025-02-07T07:24:10Z
dc.date.issued	2025
dc.identifier.isbn	978-303174182-1
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/10651/76943
dc.format.extent	p. 73-84
dc.language.iso	eng
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206847018&doi=10.1007%2f978-3-031-74183-8_7&partnerID=40&md5=8b96e7cec5044d1d0ca68d653999e7e3
dc.title	A short analysis of hybrid approaches in covid‑19 for detection and diagnosing
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-74183-8_7
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-74183-8_7

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