Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks
Abstract Transient electromagnetic (TEM) can conduct efficient large‐scale geological surveys on the near‐surface. Exploring fast and comprehensive interpretation strategies for electromagnetic data is crucial for geoscientists to make high‐quality decisions on site. In this study, we proposed a pro...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000536 |
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