[Elsevier] XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions

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Elika Karbassiyazdi, Fatemeh Fattahi, Negin Yousefi, Amirhessam Tahmassebi, Arsia Afshar Taromi, Javad Zyaie Manzari, Amir H Gandomi, Ali Altaee, Amir Razmjou,
XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions,
Environmental Research,
Volume 215, Part 1,
2022,
114286,
ISSN 0013-9351,
https://doi.org/10.1016/j.envres.2022.114286.
(https://www.sciencedirect.com/science/article/pii/S0013935122016139)

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