Detecting COVID-19 from breathing and coughing sounds using deep neural networks

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Metadaten
Author:Mina A. Nessiem, Mostafa M. MohamedGND, Harry Coppock, Alexander Gaskell, Björn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-915892
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91589
ISBN:978-1-6654-3107-1OPAC
Parent Title (English):34th International Symposium on Computer-Based Medical Systems (CBMS 2021), Aveiro, Portugal, 7-9 June 2021
Publisher:IEEE
Place of publication:New York, NY
Editor:José Luís Oliveira, Agma Traina, Paolo Soda, Joel Arrais, Bridget Kane
Type:Part of a Book
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2022/01/27
First Page:183
Last Page:188
DOI:https://doi.org/10.1109/cbms52027.2021.00069
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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