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]

• Seef Saadi Fiyadh,
• Saja Mohsen Alardhi,
• Mohamed Al Omar,
• Mustafa M. Aljumaily,
• Mohammed Abdulhakim Al Saadi,
• Sabah Saadi Fayaed,
• Sulaiman Nayef Ahmed,
• Ali Dawood Salman,
• Alyaa H. Abdalsalm,
• Noor Mohsen Jabbar,
• Ahmed El-Shafi

Affiliations

Seef Saadi Fiyadh

Ministry of Planning, Central Statistical Organization, Anbar, Iraq

Saja Mohsen Alardhi

Nanotechnology and Advanced Materials Research Center, University of Technology, Iraq

Mohamed Al Omar

Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq; Natural and Medical Sciences Research Centre, University of Nizwa, Oman

Mustafa M. Aljumaily

Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq

Mohammed Abdulhakim Al Saadi

Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq

Sabah Saadi Fayaed

Department of Civil Engineering, Al-Maarif University College, Ramadi, Iraq; Ministry of Planning Dept. Social Services Projects Section, Baghdad, Iraq

Sulaiman Nayef Ahmed

Construction and Projects Department, University of Fallujah, Iraq

Ali Dawood Salman

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; Corresponding author. Sustainability Solutions Research Lab, University of Pannonia, Egyetem Str. 10, H-8200, Veszprem, Hungary.

Alyaa H. Abdalsalm

Nanotechnology and Advanced Materials Research Center, University of Technology, Iraq

Noor Mohsen Jabbar

Biochemical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

Ahmed El-Shafi

Department of Civil Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia