Probabilistic Uncertainty Consideration in Regionalization and Prediction of Groundwater Nitrate Concentration
In this study, we extend our previous work on a two-dimensional convolutional neural network (2DCNN) for spatial prediction of groundwater nitrate, focusing on improving uncertainty quantification. Our enhanced model incorporates a fully probabilistic Bayesian framework and a structure aimed at opti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Knowledge |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9585/4/4/25 |
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