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Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning.

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Title: Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning.
Authors: Pak, Seonghee1 (AUTHOR), Jin, Byoungho Ellie1,2 (AUTHOR), Yun, Changsang1 (AUTHOR) cyun@ewha.ac.kr
Source: Fashion & Textiles (2198-0802). 5/26/2026, Vol. 13 Issue 1, p1-24. 24p.
Database: Textile Technology Complete
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Header DbId: teh
DbLabel: Textile Technology Complete
An: 194042450
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning.
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  Data: <searchLink fieldCode="AR" term="%22Pak%2C+Seonghee%22">Pak, Seonghee</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jin%2C+Byoungho+Ellie%22">Jin, Byoungho Ellie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yun%2C+Changsang%22">Yun, Changsang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cyun@ewha.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Fashion+%26+Textiles+%282198-0802%29%22">Fashion & Textiles (2198-0802)</searchLink>. 5/26/2026, Vol. 13 Issue 1, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=teh&AN=194042450
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s40691-026-00472-z
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning.
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            NameFull: Pak, Seonghee
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            NameFull: Jin, Byoungho Ellie
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            NameFull: Yun, Changsang
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            – D: 26
              M: 05
              Text: 5/26/2026
              Type: published
              Y: 2026
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              Value: 13
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