Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost

The recent investigation has started for evaluating the human respiratory sounds, like voice recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from healthy person's sound. The cough-based detection of Covid-19 also considered with non-respiratory and respirato...

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Detalles Bibliográficos
Autores principales: Dar, Jawad Ahmad, Srivastava, Kamal Kr, Ahmed Lone, Sajaad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527202/
https://www.ncbi.nlm.nih.gov/pubmed/36228465
http://dx.doi.org/10.1016/j.compbiomed.2022.106123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527202/
https://www.ncbi.nlm.nih.gov/pubmed/36228465
http://dx.doi.org/10.1016/j.compbiomed.2022.106123

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