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)]

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)]

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor.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 ou...

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Bibliographic Details
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

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189982363&doi=10.1016%2fj.enganabound.2024.04.005&partnerID=40&md5=66a54de5100c42812bbffb672c232fb8

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