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| Published in: | Fashion and Textiles |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1868552290660515841 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| 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 |
| last_indexed | 2026-06-20T21:17:54.275Z |
| 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 |
| 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_alt | Modelo cuantitativo no destructivo para predecir la resistencia a la tracción residual del patrimonio cultural textil de seda basado en aprendizaje automático Modèle quantitatif non destructif pour prédire la résistance à la traction résiduelle du patrimoine culturel textile en soie basé sur l'apprentissage automatique Modelo quantitativo não destrutivo para prever a resistência à tração residual do patrimônio cultural têxtil de seda baseado em aprendizado de máquina |
| title_auth | Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning |
| title_es_txt | Modelo cuantitativo no destructivo para predecir la resistencia a la tracción residual del patrimonio cultural textil de seda basado en aprendizaje automático |
| title_fr_txt | Modèle quantitatif non destructif pour prédire la résistance à la traction résiduelle du patrimoine culturel textile en soie basé sur l'apprentissage automatique |
| 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_pt_txt | Modelo quantitativo não destrutivo para prever a resistência à tração residual do patrimônio cultural têxtil de seda baseado em aprendizado de máquina |
| 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 |