Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making
Tao ZhangBeijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Key Laboratory of Plant-Soil Interactions of Ministry of Education, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, ChinaAnahita Manafi Khajeh PashaDepartment of Periodontics, Faculty of Dentistry, Urmia University of Medical Sciences, Urmia, IranS. Mohammad SajadiDepartment of Nutrition, Cihan University-Erbil, Kurdistan Region, IraqDheyaa J. JasimNavid Nasajpour-EsfahaniDepartment of Materials Science and Engineering, Georgia Institute of Technology, Atlanta 30332, USAHamid MalekiDepartment of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonSh. BaghaeiDepartment of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
2024en
ABI
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