Machine learning models to characterize the cough signal of patients with COVID-19

  1. Salamea-Palacios, C.
  2. Sánchez-Almeida, T.
  3. Calderón-Hinojosa, X.
  4. Guaña-Moya, J.
  5. Castañeda-Romero, P.
  6. Reina-Trávez, J.
Actes:
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

ISSN: 2414-6390

ISBN: 9786289520705

Any de publicació: 2022

20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022

Volum: 2022-July

Tipus: Aportació congrés

DOI: 10.18687/LACCEI2022.1.1.145 GOOGLE SCHOLAR lock_openAccés obert editor

Objectius de Desenvolupament Sostenible

Font de les dades: Scopus