Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds.

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Title: Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds.
Authors: Barua, Prabal Datta1, prabal.barua@usq.edu.au, Keles, Tugce2, Kuluozturk, Mutlu3, Kobat, Mehmet Ali4, Dogan, Sengul2, Baygin, Mehmet5, Tuncer, Turker2, Tan, Ru-San6,7, Acharya, U. Rajendra8,9
Source: Neural Computing & Applications; Sep2024, Vol. 36 Issue 27, p16857-16871, 15p
Database: Applied Science & Technology Source
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  Data: Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Sep2024, Vol. 36 Issue 27, p16857-16871, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179234937
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        Value: 10.1007/s00521-024-09895-5
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        Text: English
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      – TitleFull: Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds.
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              Text: Sep2024
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