Machine Learning-Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

A. Garzón*, Z. Kapelan, J. Langeveld, R. Taormina

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

31 Citations (Scopus)
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INIS

Earth and Planetary Sciences

Computer Science

Engineering

Chemical Engineering

Material Science