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Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence

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Bibliographic Details
Published in:Fracture and Structural Integrity
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Fracture and Structural Integrity
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:3688
institution FRELIP
journal_source_facet Fracture and Structural Integrity
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
— — — — — Mechanical Engineering
Mechanical Engineering
Engineering & Technology
sub_discipline_display Mechanical Engineering
sub_discipline_facet Mechanical Engineering
subject_display — — — — — Mechanical Engineering
Mechanical Engineering
Engineering & Technology
— — — — — Mechanical Engineering
Mechanical Engineering
Engineering & Technology
subject_facet — — — — — Mechanical Engineering
Mechanical Engineering
Engineering & Technology
title Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_auth Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_full Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_fullStr Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_full_unstemmed Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_short Guided waves with machine learning for structural health monitoring: transparent features and Monte Carlo confidence
title_sort guided waves with machine learning for structural health monitoring: transparent features and monte carlo confidence
topic — — — — — Mechanical Engineering
Mechanical Engineering
Engineering & Technology
url https://www.fracturae.com/index.php/fis/article/view/5666