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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor.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
id 2-s2.0-85189982363
spelling 2-s2.0-85189982363
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.
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)]
2024
Engineering Analysis with Boundary Elements
163

10.1016/j.enganabound.2024.04.005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189982363&doi=10.1016%2fj.enganabound.2024.04.005&partnerID=40&md5=66a54de5100c42812bbffb672c232fb8
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor.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
Elsevier Ltd
9557997
English
Erratum
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.
spellingShingle 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.
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)]
author_facet 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.
author_sort 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.
title 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)]
title_short 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)]
title_full 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)]
title_fullStr 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)]
title_full_unstemmed 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)]
title_sort 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)]
publishDate 2024
container_title Engineering Analysis with Boundary Elements
container_volume 163
container_issue
doi_str_mv 10.1016/j.enganabound.2024.04.005
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189982363&doi=10.1016%2fj.enganabound.2024.04.005&partnerID=40&md5=66a54de5100c42812bbffb672c232fb8
description 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
publisher Elsevier Ltd
issn 9557997
language English
format Erratum
accesstype
record_format scopus
collection Scopus
_version_ 1818940552661434368

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