Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFea...
Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
In response to the pressing requirement for precise and easily accessible COVID-19 detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non-intrusive, and widely accessible. The conventional diagnostic methods, notably the PCR test, are encumbered by limitations such as cost and invasiveness. Consequently, the explor...
Alternative Titles
Full title
Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6698fe3a9fb141a0a8a876e9dcf749a4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6698fe3a9fb141a0a8a876e9dcf749a4
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-76639-9