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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 H. Gandomi, Ali F. Alta'ee 等 9 位
University of Technology Sydney Isfahan University of Technology Florida State University Iran Polymer and Petrochemical Institute
来源Environmental Research
年份2022
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学术脉络
学科主题
物理Per- and polyfluoroalkyl substances research
Carbon Dioxide Capture Technologies · Air Quality and Health Impacts
参考文献 52
Removal of perfluorinated carboxylates from washing wastewater of perfluorooctanesulfonyl fluoride using activated carbons and resins
被引 324Ziwen Du, Shubo Deng, Youguang Chen · Journal of Hazardous Materials · 2014
Artificial intelligence based modeling for predicting the disinfection by-products in water
被引 97Kunwar Pal Singh, Shikha Pranesh Gupta · Chemometrics and Intelligent Laboratory Systems · 2012
Sorption of Perfluorochemicals to Granular Activated Carbon in the Presence of Ultrasound
被引 101Deming Zhao, Jie Cheng, Chad Davis Vecitis · The Journal of Physical Chemistry A · 2011
此处列出前 3 条
引用本文 99
Smart waste management: A paradigm shift enabled by artificial intelligence
被引 308David Bamidele Olawade, Oluwaseun Fapohunda, Ojima Zechariah Wada · Waste Management Bulletin · 2024
A juxtaposed review on adsorptive removal of PFAS by metal-organic frameworks (MOFs) with carbon-based materials, ion exchange resins, and polymer adsorbents
被引 135Elika Karbassiyazdi, Medha Kasula, Sweta Modak · Chemosphere · 2022
Understanding the Selective Removal of Perfluoroalkyl and Polyfluoroalkyl Substances via Fluorine–Fluorine Interactions: A Critical Review
被引 73Kaixing Fu, Jinjing Huang, Fang Luo · Environmental Science & Technology · 2024
按被引量排序，此处列出前 3 条