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    Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks

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    • Institution:控制科学与工程学院

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

    • Journal:Automation in Construction

    • Key Words:Arbitrarily-oriented defect detection;Automation;Deep learning;Ground penetrating radar;Tunnel inspection

    • First Author:王静

    • Document Code:1523583211215523842

    • Volume:133

    • Number of Words:50

    • Translation or Not:No

    • Date of Publication:2021-11

    • Release Time:2024-10-01
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