1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Using explainability to design physics-aware CNNs for solving subsurface inverse problems
Jodie Crocker, Krishna Kumar, Brady R. Cox
We present a novel method of using explainability techniques to design physics-aware neural networks. We demonstrate our approach by developing a convolutional neural network (CNN)…
cs.LG2022
A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements
Aser Abbas, Joseph P. Vantassel, Brady R. Cox +2
This paper presents a frequency-velocity convolutional neural network (CNN) for rapid, non-invasive 2D shear wave velocity (Vs) imaging of near-surface geo-materials. Operating in…