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Earth, Environmental and Planetary Sciences
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Rashtbehesht, Majid (creator)
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Bayesian Inversion
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A theoretical development of machine learning for geophysical inversions: An application to volcano imaging
Description:
Volcanic hazards monitoring relies heavily on constraints offered by geophysical inversions to decipher the structure of subvolcanic magmatic systems. Over the past decades a multidisciplinary …
Year:
2022
Contributor:
Rashtbehesht, Majid (creator)
Huber, Christian (Advisor)
Fischer, Karen (Reader)
Tsai, Victor (Reader)
Liang, Yan (Reader)
Naif, Samer (Reader)
Brown University. Department of Earth, Environmental, and Planetary Sciences (sponsor)
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theses
Subject:
Machine Learning
Applied mathematics
Geophysics
Seismology
Deep Learning
Bayesian Inversion
Volcanology
Collection:
Earth, Environmental and Planetary Sciences
Theses and Dissertations
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