Wang Zhengfang
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Paper Publications
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

Document Code:1523583211215523842

Volume:133

Number of Words:50

Translation or Not:No

Date of Publication:2021-11

Included Journals:SCI

Release Time:2024-10-01

Personal information

Professor
Supervisor of Master's Candidates

Gender : Male

Alma Mater : 山东大学

Education Level : With Certificate of Graduation for Doctorate Study

Degree : 博士

Status : Employed

School/Department : 控制科学与工程学院

Date of Employment : 2016-11-11

Faculty/School : School of Control Science and Engineering

Discipline:Control Science and Engineering
Detection Technology and Automatic Equipment

Business Address : 山东省济南市历下区经十路17923号 山东大学(千佛山) 创新大厦612

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