XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue: Volume:215 Page:114286
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Karbassiyazdi Elika,Fattahi Fatemeh,Yousefi Negin,Tahmassebi Amirhessam,Taromi Arsia Afshar,Manzari Javad Zyaie,Gandomi Amir H,Altaee Ali^ORCID,Razmjou Amir^ORCID

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference51 articles.

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