Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant
Xiedong SongSchool of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot 010000, ChinaMohammadreza BaghoolizadehDepartment of Mechanical Engineering, Shahrekord University, Shahrekord 88186-34141, IranAs’ad AlizadehDepartment of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil, IraqDheyaa J. JasimAli BasemFaculty of Engineering, Warith Al-Anbiyaa University, Karbala 56001, IraqAbbas J. SultanDepartment of Chemical Engineering, University of Technology- Iraq, Baghdad, IraqSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonMostafa PiromradianDepartment of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran
2024en
ABI
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