AI and Computational Methods in Hydraulic Systems: Systematic Review (curated dataset of 281 primary studies)

4TU.ResearchData 2026 Dataset Open access

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Authors: Fatehi-Nobarian, Bahador, Alizadeh Tabrizi, Sina
DOI: 10.4121/6504027b-aa4a-4239-8810-8da782cd2c58
Cited by: 0

Abstract

A curated dataset of 281 primary studies where Artificial Intelligence, Machine Learning, Deep Learning, and Soft Computing techniques were applied to hydraulic structures and hydraulic phenomena. The dataset supports replication of the review, secondary analyses, bibliometric mapping, and methodological comparisons.

Publication details

Journal / source
4TU.ResearchData
Publication date
14 April 2026
Language
EN
Document type
Dataset