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Predictive quality analytics for the viscosity of water-based architectural paint manufacturing by using improved supervised machine learning and maximum dissimilarity algorithm.

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Title: Predictive quality analytics for the viscosity of water-based architectural paint manufacturing by using improved supervised machine learning and maximum dissimilarity algorithm.
Authors: Barrionuevo, Robinson1, rbarrionuevo@est.ups.edu.ec, Vallejo-Huanga, Diego1,2, dvallejoh@ups.edu.ec, Morillo, Paulina2, pmorillo@ups.edu.ec, Mostafa, Noha A.3,4, noha.mostafa@bue.edu.eg
Source: Journal of Intelligent Manufacturing; Mar2026, Vol. 37 Issue 3, p1213-1229, 17p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Mar2026, Vol. 37 Issue 3, p1213-1229, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191838964
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        Value: 10.1007/s10845-025-02594-5
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      – Code: eng
        Text: English
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        PageCount: 17
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              Text: Mar2026
              Type: published
              Y: 2026
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