Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Yunyan ShangSchool of Computer Science, Xijing University, Xi'an 710123, ChinaKarrar A. HammoodiDepartment of Air Conditioning and Refrigeration, Faculty of Engineering, University of Warith Al-Anbiyaa, Karbala 56001, IraqAs’ad AlizadehDepartment of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil, IraqKamal SharmaInstitute of Engineering and Technology, GLA University, Mathura, U.P. 281406, IndiaDheyaa J. JasimHusam RajabCollege of Engineering, Mechanical Engineering Department, Alasala University, King Fahad Bin Abdulaziz Rd.,P.O.Box: 12666. Amanah: 31483,Dammam, Kingdom of Saudi ArabiaMohsen AhmedImam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Eastern Province, Kingdom of Saudi ArabiaMurizah KassimInstitute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaHamid MalekiDepartment of Mechanical Engineering, Isfahan University of Technology, Isfahan, IranSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
2024en
ABI
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