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771 |
Physics-Informed Machine Learning for Structural Damage Diagnosis in Aluminium Plates
Enthalten in E-Journal of nondestructive testing Bd. 29, 2024, Nr. 7
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772 |
Predicting the Dynamic Behaviour of a Concrete Dam using Statistical and Machine Learning Models
Enthalten in E-Journal of nondestructive testing Bd. 29, 2024, Nr. 7
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773 |
Robust Structural Health Monitoring of CFRP Structures under Varying Loads using NSFD and Machine Learning with Combined Usage of Acceleration and Strain Data
Enthalten in E-Journal of nondestructive testing Bd. 29, 2024, Nr. 7
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774 |
“Why Should I Trust You?”: Exploring Interpretability in Machine Learning Approaches for Indirect SHM
Enthalten in E-Journal of nondestructive testing Bd. 29, 2024, Nr. 7
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775 |
A decomposition approach to evaluating the local performance of global streamflow reanalysis
Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 15: 3597-3611. 15 S.
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776 |
140-year daily ensemble streamflow reconstructions over 661 catchments in France
Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 14: 3457-3474. 18 S.
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777 |
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Enthalten in Hydrology and earth system sciences Bd. 28, 2024, Nr. 14: 3367-3390. 24 S.
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778 |
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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779 |
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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780 |
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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