1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.CO2024
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion
Ben Mansour Dia, Michael Fehler, SanLinn I. Kaka +3
We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated moment tensor. The object…
physics.geo-ph2022★ 1 cited
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty
Stephen Brown, William L. Rodi, Marco Seracini +5
We consider the application of machine learning to the evaluation of geothermal resource potential. A supervised learning problem is defined where maps of 10 geological and geophys…