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<i>K</i>-mer Frequency Encoding Model for Cable Defect Identification: A Combination of Non-Destructive Testing Approach with Artificial Intelligence

This paper describes a non-destructive detection method for identifying cable defects using <i>K</i>-mer frequency encoding. The detection methodology combines magnetic leakage detection equipment with artificial intelligence for precise identification. The cable defect identification process includ...

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Principais autores: Brijesh Patel, Zih Fong Huang, Chih-Ho Yeh, Yen-Ru Shih, Po Ting Lin
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-10-01
Serier:Inventions
Fag:
<i>K</i>-mer frequency encoding
cable defects
non-destructive testing
artificial intelligence
Online adgang:https://www.mdpi.com/2411-5134/8/6/132
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