Machine Learning Based Forward Solver: An Automatic Framework in gprMax-Reference-Cited by-同舟云学术

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Machine Learning Based Forward Solver: An Automatic Framework in gprMax

Published:2021-12-01 Issue: Volume: Page:
ISSN:
Container-title:2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
language:
Short-container-title:

Author:

Akhaury Utsav¹,Giannakis Iraklis²,Warren Craig³,Giannopoulos Antonios⁴

Affiliation:

1. École Polytechnique Fédérale de Lausanne (EPFL),Laboratoire d’astrophysique,Switzerland

2. University of Aberdeen,School of Geosciences,Aberdeen,United Kingdom

3. Northumbria University,Department of Mechanical and Construction Engineering,Newcastle,United Kingdom

4. The University of Edinburgh,School of Engineering,Edinburgh,United Kingdom

Funder

Google

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842861/9843139/09843172.pdf?arnumber=9843172

Reference19 articles.

1. The singular value decomposition: Its computation and some applications

2. XGBoost

3. Support vector machines

4. Overview of use of decision tree algorithms in machine learning

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Application of Shortwave Band GPR in Investigation of Surrounding Rock-and-Lining Interface;Journal of Mining Science;2023-12

2. GPR modelling and inversion to quantify the debris content within ice;Near Surface Geophysics;2023-10

3. Modeling and Implementation of a Joint Airborne Ground Penetrating Radar and Magnetometer System for Landmine Detection;Remote Sensing;2023-07-31

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