@article{paperid:1101518,
author = {Kamali, Hosseinali and , },
title = {Optimization random forest model for air entrainment hysteresis prediction in ventilated cavitation using genetic and particle swarm along with experimental observations and numerical simulations of the hysteresis loop},
journal = {Physics of Fluids},
year = {2024},
volume = {36},
number = {9},
month = {September},
issn = {1070-6631},
keywords = {Supercavity; Hysteresis loop; Machine learning; Optimization; Genetic; PSO; Random Forest},
}