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| dc.contributor.author | Khetib, Yacine
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| dc.contributor.author | Abo-Dief, Hala M.
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| dc.contributor.author | Alanazi, Abdullah K.
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| dc.contributor.author | Rawa, Muhyaddin
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| dc.contributor.author | Sajadi, S. Mohammad
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| dc.contributor.author | Sharifpur, Mohsen
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| dc.date.accessioned | 2024-05-30T12:09:13Z | |
| dc.date.available | 2024-05-30T12:09:13Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Please read abstract in the article. | en_US |
| dc.description.department | Mechanical and Aeronautical Engineering | en_US |
| dc.description.librarian | hj2024 | en_US |
| dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.description.sponsorship | The Taif University Researchers Supporting grant of Taif University, Taif, Saudi Arabia. | en_US |
| dc.description.uri | http://www.tandfonline.com/loi/gcec20 | en_US |
| dc.identifier.citation | Yacine 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.issn | 0098-6445 (print) | |
| dc.identifier.issn | 1563-5201 (online) | |
| dc.identifier.other | 10.1080/00986445.2021.1980398 | |
| dc.identifier.uri | http://hdl.handle.net/2263/96310 | |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor and Francis | en_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.subject | Artificial neural network (ANN) | en_US |
| dc.subject | Copper(II) oxide (CuO) | en_US |
| dc.subject | Nanofluid | en_US |
| dc.subject | Paraffin | en_US |
| dc.subject | Response surface method (RSM) | en_US |
| dc.subject | Viscosity | en_US |
| dc.subject.ddc | Engineering, built environment and information technology articles SDG-04 | |
| dc.subject.ddc | SDG-04: Quality education | |
| dc.subject.ddc | Engineering, built environment and information technology articles SDG-07 | |
| dc.subject.ddc | SDG-07: Affordable and clean energy | |
| dc.subject.ddc | Engineering, built environment and information technology articles SDG-09 | |
| dc.subject.ddc | SDG-09: Industry, innovation and infrastructure | |
| dc.subject.ddc | Engineering, built environment and information technology articles SDG-12 | |
| dc.subject.ddc | SDG-12: Responsible consumption and production | |
| dc.subject.ddc | Engineering, built environment and information technology articles SDG-13 | |
| dc.subject.ddc | SDG-13: Climate action | |
| dc.title | Competition of ANN and RSM techniques in predicting the behavior of the CuO-liquid paraffin | en_US |
| dc.type | Postprint Article | en_US |
