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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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Published in:Fashion and Textiles
Format: Online Article RSS Article
Published: 2026
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container_title Fashion and Textiles
description
discipline_display Textile Industries and Fabrics
discipline_facet Textile Industries and Fabrics
format Online Article
RSS Article
genre Journal Article
id rss_article:57545
institution FRELIP
journal_source_facet Fashion and Textiles
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
Textile Industries and Fabrics
General
Textile Industries and Fabrics
sub_discipline_display General
sub_discipline_facet General
subject_display Textile Industries and Fabrics
General
Textile Industries and Fabrics
Textile Industries and Fabrics
General
Textile Industries and Fabrics
subject_facet Textile Industries and Fabrics
General
Textile Industries and Fabrics
title Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_auth Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_full Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_fullStr Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_full_unstemmed Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_short Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
title_sort nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning
topic Textile Industries and Fabrics
General
Textile Industries and Fabrics
url https://link.springer.com/article/10.1186/s40691-026-00472-z