Journal ArticleOpen Access
Optimizing the performance of machine learning algorithms for the condition assessment of utility timber poles
Author Affiliations
Deakin University, Macquarie University, Chittagong University of Engineering & Technology
Published InNondestructive Testing And Evaluation
Year2023
Citations4
Abstract
Optimizing the performance of machine learning algorithms for the condition assessment of utility timber poles
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