Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels
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Published:2024-07
Issue:
Volume:178
Page:106072
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ISSN:1364-8152
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Container-title:Environmental Modelling & Software
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language:en
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Short-container-title:Environmental Modelling & Software
Author:
Chen Eric,
Andersen Martin S.,
Chandra RohitashORCID
Reference102 articles.
1. Groundwater level modeling with machine learning: a systematic review and meta-analysis;Ahmadi;Water,2022
2. Interpolation and smooth curve fitting based on local procedures [e2] (algorithm A433);Akima;Commun. ACM,1972
3. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. of big Data,2021
4. Stream-aquifer interactions in the Maules Creek catchment, Namoi Valley, New South Wales, Australia;Andersen;Hydrogeol. J.,2009
5. Stream-aquifer interactions in the Maules creek catchment, Namoi valley, New South Wales, Australia;Andersen;Hydrogeol. J.,2009