2 citations · 2 across the 4 of their papers we have counts for
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physics.geo-ph2023
Multiphysics-decision tree learning for improved variably saturated subsurface parameter estimation and reduced-order simulation
Michael J Friedel, Massimo Buscema
A novel multiphysics-decision tree learning algorithm is presented for (1) estimating transport properties in the variably saturated subsurface governed by explicitly coupled equat…
physics.geo-ph2023★ 2 cited
A simple stacked ensemble machine learning model to predict naturalized catchment hydrology and allocation status
Michael J. Friedel, Dave Stewart, Xiao Feng Lu +3
New Zealand legislation requires that Regional Councils set limits for water resource usage to manage the effects of abstractions in over-allocated catchments. We propose a simple…