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Automated Evaluation of Layer Thickness Uniformity in 3D-Printed Cementitious Composites Using Deep Learning and Comparison with Manual Tracing Methods.

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Title: Automated Evaluation of Layer Thickness Uniformity in 3D-Printed Cementitious Composites Using Deep Learning and Comparison with Manual Tracing Methods.
Authors: Seo, Jiseok1, Lee, Jun1,2, Lee, Bongchun1,2, leebc@kcl.re.kr
Source: Buildings (2075-5309); Dec2025, Vol. 15 Issue 23, p4253, 22p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 190531703
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PubType: Academic Journal
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  Data: Automated Evaluation of Layer Thickness Uniformity in 3D-Printed Cementitious Composites Using Deep Learning and Comparison with Manual Tracing Methods.
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  Data: <searchLink fieldCode="JN" term="%22Buildings+%282075-5309%29%22">Buildings (2075-5309)</searchLink>; Dec2025, Vol. 15 Issue 23, p4253, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190531703
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    Identifiers:
      – Type: doi
        Value: 10.3390/buildings15234253
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 4253
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      – TitleFull: Automated Evaluation of Layer Thickness Uniformity in 3D-Printed Cementitious Composites Using Deep Learning and Comparison with Manual Tracing Methods.
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            NameFull: Seo, Jiseok
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            NameFull: Lee, Jun
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              Text: Dec2025
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              Y: 2025
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