Retraction notice to “Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact” [Engineering Analysis with Boundary Elements 146 (2023) 252-262, (S0955799722003290), (10.1016/j.enganabound.2022.09.023)]

• Published in: Engineering Analysis with Boundary Elements
• Main Author: Hai T.; Dhahad H.A.; Ali M.A.; Goyal V.; Almojil S.F.; Almohana A.I.; Alali A.F.; Almoalimi K.T.; Alyousuf F.Q.A.
• Format: Erratum
• Language: English
• Published: Elsevier Ltd 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189982363&doi=10.1016%2fj.enganabound.2024.04.005&partnerID=40&md5=66a54de5100c42812bbffb672c232fb8
• ISSN: 9557997
• DOI: 10.1016/j.enganabound.2024.04.005

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor. Post-publication, the editor discovered suspicious citation patterns. Blocks of references were cited out of context, and some of the references were far outside of the subject areas. Upon inspection of the submission record, it was discovered that many references were added to the final approved versions during the proofreading stage. In addition, an author was added during revision without the approval of the editor, which is a violation of the journal policy on change of authorship. The editor decided that the findings of the articles could not be relied upon, and the articles should be retracted. The corresponding author agreed to the retractions. © 2024 Elsevier Ltd