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]

Fiyadh SS 1 , Alardhi SM 2 , Al Omar M 3 , Aljumaily MM 3 , Al Saadi MA 3 , Fayaed SS 3 Show all authors , Ahmed SN 4 , Salman AD 5 , Abdalsalm AH 2 , Jabbar NM 6 , El-Shafi A 7

Affiliations 

  • 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 Construction and Projects Department, University of Fallujah, Iraq
  • 5 Sustainability Solutions Research Lab, University of Pannonia, Egyetem Str. 10, H-8200, Veszprem, Hungary
  • 6 Biochemical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq
  • 7 Department of Civil Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia
Heliyon, 2023 Jul;9(7):e17675.
PMID: 37539279 DOI: 10.1016/j.heliyon.2023.e17675

Abstract

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

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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