Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions
Clemson University · Texas A&M University
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Abstract
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Citation impact
273
total citations
- FWCI
- 31.51
- Percentile
- 100%
- References
- 283
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Deep learning
- Interpretability
- Computer science
- Artificial intelligence
- Machine learning
- Water resources
- Artificial neural network
- Robustness (evolution)
UN Sustainable Development Goals
- Clean water and sanitation
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