Competition of ANN and RSM techniques in predicting the behavior of the CuO-liquid paraffin

dc.contributor.authorKhetib, Yacine
dc.contributor.authorAbo-Dief, Hala M.
dc.contributor.authorAlanazi, Abdullah K.
dc.contributor.authorRawa, Muhyaddin
dc.contributor.authorSajadi, S. Mohammad
dc.contributor.authorSharifpur, Mohsen
dc.contributor.emailmohsen.sharifpur@up.ac.zaen_US
dc.date.accessioned2024-05-30T12:09:13Z
dc.date.available2024-05-30T12:09:13Z
dc.date.issued2023
dc.description.abstractPlease read abstract in the article.en_US
dc.description.departmentMechanical and Aeronautical Engineeringen_US
dc.description.librarianhj2024en_US
dc.description.librarianmi2025en
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.sdgSDG-04: Quality educationen
dc.description.sdgSDG-07: Affordable and clean energyen
dc.description.sdgSDG-12: Responsible consumption and productionen
dc.description.sdgSDG-13: Climate actionen
dc.description.sponsorshipThe Taif University Researchers Supporting grant of Taif University, Taif, Saudi Arabia.en_US
dc.description.urihttp://www.tandfonline.com/loi/gcec20en_US
dc.identifier.citationYacine Khetib, Hala M. Abo-Dief, Abdullah K. Alanazi, Muhyaddin Rawa, S. Mohammad Sajadi & Mohsen Sharifpur (2023) Competition of ANN and RSM techniques in predicting the behavior of the CuO-liquid paraffin, Chemical Engineering Communications, 210:6, 880-892, DOI: 10.1080/00986445.2021.1980398.en_US
dc.identifier.issn0098-6445 (print)
dc.identifier.issn1563-5201 (online)
dc.identifier.other10.1080/00986445.2021.1980398
dc.identifier.urihttp://hdl.handle.net/2263/96310
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.rights© 2021 Taylor and Francis Group, LLC. This is an electronic version of an article published in Chemical Engineering Communications, vol. 210, no. 6, pp. 880-892, 2023. doi : 10.1080/00986445.2021.1980398. Chemical Engineering Communications is available online at : http://www.tandfonline.comloi/gcec20.en_US
dc.subjectArtificial neural network (ANN)en_US
dc.subjectCopper(II) oxide (CuO)en_US
dc.subjectNanofluiden_US
dc.subjectParaffinen_US
dc.subjectResponse surface method (RSM)en_US
dc.subjectViscosityen_US
dc.subject.ddcEngineering, built environment and information technology articles SDG-04
dc.subject.ddcSDG-04: Quality education
dc.subject.ddcEngineering, built environment and information technology articles SDG-07
dc.subject.ddcSDG-07: Affordable and clean energy
dc.subject.ddcEngineering, built environment and information technology articles SDG-09
dc.subject.ddcSDG-09: Industry, innovation and infrastructure
dc.subject.ddcEngineering, built environment and information technology articles SDG-12
dc.subject.ddcSDG-12: Responsible consumption and production
dc.subject.ddcEngineering, built environment and information technology articles SDG-13
dc.subject.ddcSDG-13: Climate action
dc.titleCompetition of ANN and RSM techniques in predicting the behavior of the CuO-liquid paraffinen_US
dc.typePostprint Articleen_US

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