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COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds

In the last 2 years, medical researchers and clinical scientists have paid close attention to the problem of respiratory sound classification to classify COVID-19 disease symptoms. In the physical world, very few AI-based (Artificial Intelligence) techniques are often used to detect COVID-19/SARS-Co...

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Detalles Bibliográficos
Autores principales: Kranthi Kumar, Lella, Alphonse, P.J.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785156/
https://www.ncbi.nlm.nih.gov/pubmed/35096278
http://dx.doi.org/10.1140/epjs/s11734-022-00432-w