XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions
Elika Karbassiyazdi, Fatemeh Fattahi, Negin Yousefi, Amirhessam Tahmassebi, Arsia Afshar Taromi, Javad Zyaie Manzari, Amir Gandomi, Ali Altaee, Amir Razmjou (2022). XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions. Environmental Research, 215, pp. 114286-114286, DOI: 10.1016/j.envres.2022.114286.
