A deep learning-based parameter inversion for improved Tunnel Electromagnetic Imaging
收藏Zenodo2025-01-27 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.11407019
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Running FTEM_bacth_train.ipynb you can train the UNet frameworks, which transform three-component time-domain induced electromotive force data and three-component frequency-domain magnetic field data, into two mapping results. For details, please refer to the manuscript "A deep learning-based parameter inversion for improved Tunnel Electromagnetic Imaging"
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Zenodo创建时间：
2024-06-01
