Deep learning, machine learning and internet of things in geophysical engineering applications: An overview
Abstract The earthquakes in Eastern Mediterranean are mostly tectonic. The earthquakes
that are 60 km deep in the ground are called Shallow earthquakes. The earthquakes in the …
that are 60 km deep in the ground are called Shallow earthquakes. The earthquakes in the …
Using explainability to design physics-aware CNNs for solving subsurface inverse problems
We present a novel method of using explainability techniques to design physics-aware
convolutional neural networks (CNNs). We demonstrate our approach by developing a CNN …
convolutional neural networks (CNNs). We demonstrate our approach by developing a CNN …
Deep learning realm for geophysics: Seismic acquisition, processing, interpretation, and inversion
P Lu - arXiv preprint arXiv:1909.06486, 2019 - arxiv.org
Applying deep-learning models to geophysical applications has attracted special attentions
during the past a couple of years. There are several papers published in this domain …
during the past a couple of years. There are several papers published in this domain …
Machine learning approaches for solving subsurface inverse problems
JA Crocker - 2023 - repositories.lib.utexas.edu
A necessary component of geotechnical engineering design is the assessment of the
physical properties of the subsurface, such as a site's subsurface shear stiffness or shear …
physical properties of the subsurface, such as a site's subsurface shear stiffness or shear …