A literature survey that organizes research on integrating deep neural networks with physics-based methods for computational wave imaging and identifies lessons and trends.
Semi-supervised surface wave tomography with wasserstein cycle-consistent GAN: method and application to southern california plate boundary region
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Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging
A literature survey that organizes research on integrating deep neural networks with physics-based methods for computational wave imaging and identifies lessons and trends.