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761 |
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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762 |
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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763 |
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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764 |
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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765 |
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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766 |
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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767 |
Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach Enthalten in Atmospheric chemistry and physics Bd. 24, 2024, Nr. 15: 8821-8846. 26 S.
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768 |
Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations Enthalten in Atmospheric chemistry and physics Bd. 24, 2024, Nr. 15: 8677-8701. 25 S.
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769 |
Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches Enthalten in Atmospheric chemistry and physics Bd. 24, 2024, Nr. 13: 7773-7791. 19 S.
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770 |
Secondary organic aerosols derived from intermediate-volatility n-alkanes adopt low-viscous phase state Enthalten in Atmospheric chemistry and physics Bd. 24, 2024, Nr. 9: 5549-5565. 17 S.
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