RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)

Bibliographic Details
Published in:	ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
Main Authors:	Hai, Tao; Dhahad, Hayder A.; Ali, Masood Ashraf; Goyal, Vishal; Almojil, Sattam Fahad; Almohana, Abdulaziz Ibrahim; Alali, Abdulrhman Fahmi; Almoalimi, Khaled Twfiq; Alyousuf, Farah Qasim Ahmed
Format:	Retraction
Language:	English
Published:	ELSEVIER SCI LTD 2024
Subjects:	Engineering; Mathematics
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001229796900001

author	Hai Tao; Dhahad Hayder A.; Ali Masood Ashraf; Goyal Vishal; Almojil Sattam Fahad; Almohana Abdulaziz Ibrahim; Alali Abdulrhman Fahmi; Almoalimi Khaled Twfiq; Alyousuf Farah Qasim Ahmed
spellingShingle	Hai Tao; Dhahad Hayder A.; Ali Masood Ashraf; Goyal Vishal; Almojil Sattam Fahad; Almohana Abdulaziz Ibrahim; Alali Abdulrhman Fahmi; Almoalimi Khaled Twfiq; Alyousuf Farah Qasim Ahmed RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023) Engineering; Mathematics
author_facet	Hai Tao; Dhahad Hayder A.; Ali Masood Ashraf; Goyal Vishal; Almojil Sattam Fahad; Almohana Abdulaziz Ibrahim; Alali Abdulrhman Fahmi; Almoalimi Khaled Twfiq; Alyousuf Farah Qasim Ahmed
author_sort	Hai
spelling	Hai, Tao; Dhahad, Hayder A.; Ali, Masood Ashraf; Goyal, Vishal; Almojil, Sattam Fahad; Almohana, Abdulaziz Ibrahim; Alali, Abdulrhman Fahmi; Almoalimi, Khaled Twfiq; Alyousuf, Farah Qasim Ahmed RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023) ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS English Retraction ELSEVIER SCI LTD 0955-7997 1873-197X 2024 163 10.1016/j.enganabound.2024.04.005 Engineering; Mathematics WOS:001229796900001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001229796900001
title	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
title_short	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
title_full	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
title_fullStr	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
title_full_unstemmed	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
title_sort	RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)
container_title	ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
language	English
format	Retraction
description
publisher	ELSEVIER SCI LTD
issn	0955-7997 1873-197X
publishDate	2024
container_volume	163
container_issue
doi_str_mv	10.1016/j.enganabound.2024.04.005
topic	Engineering; Mathematics
topic_facet	Engineering; Mathematics
accesstype
id	WOS:001229796900001
url	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001229796900001
record_format	wos
collection	Web of Science (WoS)
_version_	1809679005380509696

RETRACTION: 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 (Retraction of Vol 146, Pg 252, 2023)

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