Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning.

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Title: Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning.
Authors: Polomoshnov, Maxim1, maxim.polomoshnov@kit.edu, Reichert, Klaus-Martin1, Rettenberger, Luca1, Ungerer, Martin1, Hernandez-Sosa, Gerardo2,3,4, Gengenbach, Ulrich1, Reischl, Markus1
Source: Journal of Intelligent Manufacturing; Apr2025, Vol. 36 Issue 4, p2709-2726, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184387653
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PubType: Academic Journal
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  Data: Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184387653
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      – Type: doi
        Value: 10.1007/s10845-024-02385-4
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 2709
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      – TitleFull: Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning.
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            NameFull: Polomoshnov, Maxim
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            NameFull: Rettenberger, Luca
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            NameFull: Hernandez-Sosa, Gerardo
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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