Heavy metal (Cu2+) removal from wastewater by metal-organic framework composite adsorbent: Simulation-based- artificial neural network and response surface methodology-Reference-Cited by-同舟云学术

Heavy metal (Cu2+) removal from wastewater by metal-organic framework composite adsorbent: Simulation-based- artificial neural network and response surface methodology

Published:2024-03 Issue: Volume:245 Page:117972
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Han Feng,Hessen Ahmad Saeed,Amari Abdelfattah,Elboughdiri Noureddine^ORCID,Zahmatkesh Sasan^ORCID

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference40 articles.

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4. Amiri, M. K., S. P. G. Zaferani, M. R. S. Emami, S. Zahmatkesh, R. Pourhanasa, S. S. Namaghi, J. J. Klemeš, A. Bokhari and M. Hajiaghaei-Keshteli (2023). "Multi-objective optimization of thermophysical properties GO powders-DW/EG Nf by RSM, NSGA-II, ANN, MLP and ML." Energy: 128176.

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