蒋鹏
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Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data
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Affiliation of Author(s): : 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: : D4C47D6B99B244C4AE903053D10B5B41

Volume: : 21

Issue: : 6

Page Number: : 8172

Number of Words: : 50

Translation or Not: : no

Date of Publication: : 2021-01-11

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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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