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1. The evolution of multi-method imaging of structures and processes in environmental geophysics
2. An introduction to variational inference in Geophysical inverse problems
3. Moment tensor inversion
Advances in Geophysics, Volume 63 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more.
- Provides high-level reviews of the latest innovations in geophysics
- Written by recognized experts in the field
- Presents an essential publication for researchers in all fields of geophysics
Graduate students, scientists and engineers of geophysics, physics, acoustics, civil engineering, environmental sciences, geology and planetary sciences
- No. of pages:
- © Academic Press 2021
- 1st August 2021
- Academic Press
- Hardcover ISBN:
Cedric Schmelzbach is a senior scientist at ETH Zurich, Switzerland.Dr. Schmelzbach, graduate of University of Zurich (B.Sc., M.Sc.) and Uppsala University, Sweden (Ph.D.), followed by postdoc positions at University of Potsdam, Germany, Freie Universität Berlin, Germany, and ETH Zurich, Switzerland, holds currently a senior scientist position at ETH Zurich. His research interests include seismic exploration at different scales, seismic spatial-gradient and rotational seismology, and multi-disciplinary investigations.
Senior Scientist, ETH Zurich, Switzerland
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