Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models
Abstract Salinity intrusion stands out as a severe yet escalating challenge facing the water resource management and agricultural production of the Mekong Delta in Vietnam as a result of climate change and upstream hydrological changes. This paper assesses the efficacy of six different machine learn...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00336-3 |
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