A Machine Learning Approach For Simulating Ground Penetrating Radar
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8410205/8441519/08441558.pdf?arnumber=8441558
Cited by 9 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. Simulation and research of underground cable echo optimization based on machine learning and radar;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19
2. GPR Full-Waveform Inversion With Deep-Learning Forward Modeling: A Case Study From Non-Destructive Testing;IEEE Transactions on Geoscience and Remote Sensing;2023
3. GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches: Future Perspectives for Archaeological Prospection;Remote Sensing;2022-07-13
4. Deep Learning for Estimating Low-Range Concrete Sub-Surface Boundary Depths Using Ground Penetrating Radar Signals;IEEE Sensors Letters;2022-03
5. Machine Learning Based Forward Solver: An Automatic Framework in gprMax;2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR);2021-12-01
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