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781 |
Machine-learning-constrained projection of bivariate hydrological drought magnitudes and socioeconomic risks over China Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 14: 3305-3326. 22 S.
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782 |
To what extent do flood-inducing storm events change future flood hazards? Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 14: 3161-3190. 30 S.
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783 |
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 13: 3051-3077. 27 S.
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784 |
Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 11: 2531-2553. 23 S.
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785 |
Metamorphic testing of machine learning and conceptual hydrologic models Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 11: 2505-2529. 25 S.
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786 |
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 9: 2167-2178. 12 S.
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787 |
Disentangling coastal groundwater level dynamics in a global dataset Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 5: 1215-1249. 35 S.
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788 |
Toward interpretable LSTM-based modeling of hydrological systems Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 4: 945-971. 27 S.
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789 |
A comprehensive study of deep learning for soil moisture prediction Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 4: 917-943. 27 S.
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790 |
Accelerating NMR Shielding Calculations Through Machine Learning Methods: Application to Magnesium Sodium Silicate Glasses Enthalten in ChemPhysChem Bd. 25, 2024, Nr. 22. 13 S.
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