蒋鹏
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Tunnel resistivity deep learning inversion method based on physics-driven and signal interpretability
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Institution:土建与水利学院

Title of Paper:Tunnel resistivity deep learning inversion method based on physics-driven and signal interpretability

Journal:NEAR SURFACE GEOPHYSICS

First Author:刘本超

Document Code:1770290024510185474

Number of Words:50

Translation or Not:No

Date of Publication:2024-02

Release Time:2024-10-06

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Associate Professor

Gender : Male

Status : Employed

School/Department : 齐鲁交通学院

Date of Employment : 2018-09-17

Faculty/School : School of Qilu Transportation

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