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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...
| Principais autores: | , |
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| Formato: | Online Atigo Texto |
| Idioma: | English |
| Publicado em: |
Springer Berlin Heidelberg
2022
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| Assuntos: | |
| Acesso em linha: | 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 |