Khetib, YacineAbo-Dief, Hala M.Alanazi, Abdullah K.Rawa, MuhyaddinSajadi, S. MohammadSharifpur, Mohsen2024-05-302024-05-302023Yacine 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: 10.1080/00986445.2021.1980398.0098-6445 (print)1563-5201 (online)10.1080/00986445.2021.1980398http://hdl.handle.net/2263/96310Please read abstract in the article.en© 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.Artificial neural network (ANN)Copper(II) oxide (CuO)NanofluidParaffinResponse surface method (RSM)ViscosityEngineering, built environment and information technology articles SDG-04SDG-04: Quality educationEngineering, built environment and information technology articles SDG-07SDG-07: Affordable and clean energyEngineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-12SDG-12: Responsible consumption and productionEngineering, built environment and information technology articles SDG-13SDG-13: Climate actionPostprint Article