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<p>Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks</p>
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Affiliation of Author(s): : 控制科学与工程学院

Title of Paper: : <p>Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks</p>

Journal: : Automation in Construction

First Author: : 王静

Document Code: : 111C0DE77589428AA8CACF6B3FA87C95

Volume: : 133

Number of Words: : 7

Translation or Not: : no

Date of Publication: : 2022-01-01

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Associate Professor

Gender : Male

Status : Employed

School/Department : 齐鲁交通学院

Date of Employment : 2018-09-17

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