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Stochastic Environmental Research and Risk Assessment : Research Journal|May 3, 2024
Exploring substitution random functions composed of stationary multi-Gaussian processesJulien Straubhaar, Philippe Renard
Ground Water|October 30, 2025
ArchPy and MODFLOW: Toward a General Integration of Heterogeneity into Groundwater ModelsLudovic Schorpp, Nina Egli, Julien Straubhaar, et al.
Ground Water|September 1, 2007
Stochastic hydrogeology: what professionals really need?Philippe Renard
Frontiers in Artificial Intelligence|April 5, 2021
An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning AlgorithmsPrzemysław Juda, Philippe Renard
Ground Water|December 15, 2012
New methods to estimate 2D water level distributions of dynamic riversSamuel Diem, Philippe Renard, Mario Schirmer
Ground Water|April 15, 2020
Using Generative Adversarial Networks as a Fast Forward Operator for Hydrogeological Inverse ProblemsYasin Dagasan, Przemysław Juda, Philippe Renard
Ground Water|February 5, 2015
Generation of 3D Spatially Variable Anisotropy for Groundwater Flow SimulationsAndrea Borghi, Philippe Renard, Gabriel Courrioux
Scientific Reports|October 12, 2022
Automatic stochastic 3D clay fraction model from tTEM survey and borehole dataAlexis Neven, Anders Vest Christiansen, Philippe Renard
Journal of Environmental Quality|September 10, 2004
Forecasting the number of soil samples required to reduce remediation cost uncertaintyHélène Demougeot-Renard, Chantal De Fouquet, Philippe Renard
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