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[HTML][HTML] Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge
This paper presents the results of the 2022 Groundwater Time Series Modelling Challenge,
where 15 teams from different institutes applied various data-driven models to simulate …
where 15 teams from different institutes applied various data-driven models to simulate …
Machine Learning-Based Reconstruction and Prediction of Groundwater Time Series in the Allertal, Germany.
TV Tran, A Peche, R Kringel, K Brömme… - Water …, 2025 - search.ebscohost.com
State-of-the-art hydrogeological investigations use transient calibrated numerical flow and
transport models for multiple scenario analyses. However, the transient calibration of …
transport models for multiple scenario analyses. However, the transient calibration of …
Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
This paper presents the results of the 2022 groundwater time series modeling challenge,
where 15 teams from different institutes applied various data-driven models to simulate …
where 15 teams from different institutes applied various data-driven models to simulate …
Zum Einsatz von Maschinellem Lernen in der Umweltverwaltung: Der Simplex4Learning Ansatz
Ziel des im Herbst 2023 gestarteten Forschungsvorhabens Simplex4Learning ist es, die
großen und heterogenen Datenbestände der Umweltbehörden für intelligente Analysen mit …
großen und heterogenen Datenbestände der Umweltbehörden für intelligente Analysen mit …
Data-driven modelling of hydraulic-head time series
This paper presents the results of the 2022 Groundwater Time Series Modelling Challenge,
where 15 teams from different institutes applied various data-driven models to simulate …
where 15 teams from different institutes applied various data-driven models to simulate …