COVID-19 assessment using HMM cough recognition system-Reference-Cited by-同舟云学术

COVID-19 assessment using HMM cough recognition system

Published:2022-10-25 Issue:1 Volume:15 Page:193-201
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Hamidi Mohamed^ORCID,Zealouk Ouissam,Satori Hassan,Laaidi Naouar,Salek Amine

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-022-01120-7.pdf

Reference30 articles.

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3. Hasan I, Dhawan P, Rizvi SAM, Dhir S (2022) Data analytics and knowledge management approach for COVID-19 prediction and control. Int J Inf Technol 11:1–18

4. Alafif T, Etaiwi A, Hawsawi Y, Alrefaei A, Albassam A, Althobaiti H (2022) DISCOVID: discovering patterns of COVID-19 infection from recovered patients: a case study in Saudi Arabia. Int J Inf Technol 4:1–14

5. Pramono RXA, Imtiaz SA, Rodriguez-Villegas E (2016) A cough-based algorithm for automatic diagnosis of pertussis. PLoS ONE 11(9):162128

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