HIGHLIGHTS
- who: Daniel Manu and collaborators from the Department of Electrical and Computer Engineering, University of New Mexico have published the research: Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices, in the Journal: (JOURNAL) of November/10,/2022
- what: The authors propose an edge computing-based data-driven inversion technique based on supervised deep convolutional neural network to accurately reconstruct the subsurface velocities. The authors demonstrate robustness of the models to perform inversion in the presence on by performing both noise-aware and training and feeding the resulting trained models with at different (SNR) ratio . . .
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