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Deep Diffusion Models for Seismic Processing
Seismic data processing involves techniques to deal with undesired effects that occur during acquisition and pre-processing.
Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal
To the best of our knowledge, this study pioneers the unboxing of neural networks for the demultiple process, helping the user to gain insights into the inside running of the network.
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