articleJournal of HydrologyNov 15, 2023Closed access

Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions

Clemson University · Texas A&M University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

273
total citations
FWCI
31.51
Percentile
100%
References
283
Citations per year

Authors

2

Topics & keywords

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
No related works found for this paper.

Funding