Corrigendum to "A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique" [Heliyon 9(4) (April 2023) e15455]

Heliyon. 2023 Jul 1;9(7):e17675. doi: 10.1016/j.heliyon.2023.e17675. eCollection 2023 Jul.

¹ Ministry of Planning, Central Statistical Organization, Anbar, Iraq.
² Nanotechnology and Advanced Materials Research Center, University of Technology, Iraq.
³ Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq.
⁴ Natural and Medical Sciences Research Centre, University of Nizwa, Oman.
⁵ Ministry of Planning Dept. Social Services Projects Section, Baghdad, Iraq.
⁶ Construction and Projects Department, University of Fallujah, Iraq.
⁷ Sustainability Solutions Research Lab, University of Pannonia, Egyetem Str. 10, H-8200, Veszprem, Hungary.
⁸ Department of Chemical and Petroleum Refining Engineering, College of Oil and Gas Engineering, Basra University for Oil and Gas, Iraq.
⁹ Biochemical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq.
¹⁰ Department of Civil Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia.

Abstract

[This corrects the article DOI: 10.1016/j.heliyon.2023.e15455.].