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Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8188748

Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

About this item

Full title

Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

Publisher

London: Springer London

Journal title

Neural computing & applications, 2023-07, Vol.35 (19), p.13907-13920

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Major countries are globally facing difficult situations due to this pandemic disease, COVID-19. There are high chances of getting false positives and false negatives identifying the COVID-19 symptoms through existing medical practices such as PCR (polymerase chain reaction) and RT-PCR (reverse transcription-polymerase chain reaction). It might lea...

Alternative Titles

Full title

Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8188748

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8188748

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-021-06171-8

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