Machine learning for defect condition rating of wall wooden columns in ancient buildings

This study proposes a Machine Learning-based classification method for rating the defect conditions of wooden columns in ancient building walls using Nondestructive Testing data, including defect images, micro-drilling resistance data, and material loss depths. Data processing algorithms were introd...

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Bibliografiske detaljer

Principais autores:	Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-07-01
Serier:	Case Studies in Construction Materials
Fag:	Ancient buildings Wooden columns Defect rating Machine Learning Nondestructive testing
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2214509525002566
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