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Published June 1, 2024 | Version v1

A deep learning-based parameter inversion for improved Tunnel Electromagnetic Imaging

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Description

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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FTEM_bacth_train.ipynb

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