Explainable Artificial Intelligence in Hydrology: A Review
MZMohammad Zounemat-KermaniMKMarwan Kheimi
Shahid Bahonar University of Kerman · King Abdulaziz University
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Abstract
No abstract available for this paper.
Citation impact
6
total citations
- FWCI
- 52.50
- Percentile
- 100%
- References
- 177
Too recent for citation history.
Authors
2- MZMohammad Zounemat-KermaniCorresponding
Shahid Bahonar University of Kerman
- MKMarwan Kheimi
King Abdulaziz University
Topics & keywords
Topics
Keywords
- Interpretability
- Transparency (behavior)
- Hydrogeology
- Domain (mathematical analysis)
- Computational intelligence
- Comparability
UN Sustainable Development Goals
- Clean water and sanitation
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