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Comparison of Machine Learning Performance on Classification of COVID-19 Cough Sounds Using MFCC Features.

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Title: Comparison of Machine Learning Performance on Classification of COVID-19 Cough Sounds Using MFCC Features.
Authors: Hidayat, Muhammad Thoriq1, Faisal, Mohammad Reza1, reza.faisal@ulm.ac.id, Kartini, Dwi1, Indriani, Fatma1, Budiman, Irwan1, Saragih, Triando Hamonangan1
Source: Journal of Computer Sciences Institute; 2023, Vol. 29, p399-404, 6p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176102919
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Comparison of Machine Learning Performance on Classification of COVID-19 Cough Sounds Using MFCC Features.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Sciences+Institute%22">Journal of Computer Sciences Institute</searchLink>; 2023, Vol. 29, p399-404, 6p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176102919
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 399
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      – TitleFull: Comparison of Machine Learning Performance on Classification of COVID-19 Cough Sounds Using MFCC Features.
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            NameFull: Hidayat, Muhammad Thoriq
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            NameFull: Faisal, Mohammad Reza
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              Text: 2023
              Type: published
              Y: 2023
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              Value: 29
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