Staff View: Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))

Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))

The authors regret the incorrect inclusion of the acknowledgment section in the article. We request that you remove the acknowledgment section from our paper. The authors would like to apologize for any inconvenience caused. ? 2024 The Author(s)

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Bibliographic Details
Main Authors:	Praveen Kumar K., Khedkar R., Sharma P., Madurai Elavarasan R., Paramasivam P., Vicki Wanatasanappan V., Dhanasekaran S.
Other Authors:	58862797200
Format:	Erratum
Published:	Elsevier Ltd 2025
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id	my.uniten.dspace-36772
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spelling	my.uniten.dspace-367722025-03-03T15:44:33Z Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087)) Praveen Kumar K. Khedkar R. Sharma P. Madurai Elavarasan R. Paramasivam P. Vicki Wanatasanappan V. Dhanasekaran S. 58862797200 55212669600 58961316700 57212323035 57283686300 58093867000 57205679715 The authors regret the incorrect inclusion of the acknowledgment section in the article. We request that you remove the acknowledgment section from our paper. The authors would like to apologize for any inconvenience caused. ? 2024 The Author(s) Final 2025-03-03T07:44:33Z 2025-03-03T07:44:33Z 2024 Erratum 10.1016/j.csite.2024.104155 2-s2.0-85186715264 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186715264&doi=10.1016%2fj.csite.2024.104155&partnerID=40&md5=6cf21ebf6455fd18a72dd50b9f53e50f https://irepository.uniten.edu.my/handle/123456789/36772 55 104155 All Open Access; Gold Open Access Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	The authors regret the incorrect inclusion of the acknowledgment section in the article. We request that you remove the acknowledgment section from our paper. The authors would like to apologize for any inconvenience caused. ? 2024 The Author(s)
author2	58862797200
author_facet	58862797200 Praveen Kumar K. Khedkar R. Sharma P. Madurai Elavarasan R. Paramasivam P. Vicki Wanatasanappan V. Dhanasekaran S.
format	Erratum
author	Praveen Kumar K. Khedkar R. Sharma P. Madurai Elavarasan R. Paramasivam P. Vicki Wanatasanappan V. Dhanasekaran S.
spellingShingle	Praveen Kumar K. Khedkar R. Sharma P. Madurai Elavarasan R. Paramasivam P. Vicki Wanatasanappan V. Dhanasekaran S. Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
author_sort	Praveen Kumar K.
title	Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
title_short	Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
title_full	Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
title_fullStr	Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
title_full_unstemmed	Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))
title_sort	corrigendum to ?artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [case stud. therm. eng. 54, (february 2024), 104087] (case studies in thermal engineering (2024) 54, (s2214157x24001187), (10.1016/j.csite.2024.104087))
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816302254555136
score	13.244413

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