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].

Autor: Fiyadh SS; Ministry of Planning, Central Statistical Organization, Anbar, Iraq., Alardhi SM; Nanotechnology and Advanced Materials Research Center, University of Technology, Iraq., Al Omar M; Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq.; Natural and Medical Sciences Research Centre, University of Nizwa, Oman., Aljumaily MM; Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq., Al Saadi MA; Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq., Fayaed SS; Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq.; Ministry of Planning Dept. Social Services Projects Section, Baghdad, Iraq., Ahmed SN; Construction and Projects Department, University of Fallujah, Iraq., Salman AD; Sustainability Solutions Research Lab, University of Pannonia, Egyetem Str. 10, H-8200, Veszprem, Hungary.; Department of Chemical and Petroleum Refining Engineering, College of Oil and Gas Engineering, Basra University for Oil and Gas, Iraq., Abdalsalm AH; Nanotechnology and Advanced Materials Research Center, University of Technology, Iraq., Jabbar NM; Biochemical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq., El-Shafi A; Department of Civil Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia.

Publikováno v: Heliyon [Heliyon] 2023 Jul 01; Vol. 9 (7), pp. e17675. Date of Electronic Publication: 2023 Jul 01 (Print Publication: 2023).