Documents publiés en "2024"

Département des génies civil, géologique et des mines

Lauzon, D. (juin 2024). Deep neural networks in surrogate hydrogeological modeling : an application for transient groundwater flow combined with a geostatistical spectral algorithm for inverse problem-solving [Résumé]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece. Non disponible

Lauzon, D. (2024). A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems. Advances in Water Resources, 189, 104726 (14 pages). Lien externe

Lauzon, D., & Gloaguen, E. (2024). Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada. Ore Geology Reviews, 166, 105918 (16 pages). Disponible

Straubhaar, J., Lauzon, D., & Renard, P. (juillet 2024). Graph recurrent neural networks for stochastic simulation of Karst network topology and properties [Résumé]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece. Non disponible