蒋鹏
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Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data
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Institution:控制科学与工程学院

Title of Paper:Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data

Journal:IEEE Sensors Journal

First Author:季银涛

Document Code:E777263E68E349EBA3C8AF2077C37516

Volume:21

Issue:6

Number of Words:6

Translation or Not:No

Date of Publication:2021-01

Release Time:2021-10-10

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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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