Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach. - Xiaohong Dai; Hamid Taheri Andani; As'ad Alizadeh; Azher M. Abed; Ghassan Fadhil Smaisim; Hamad Karem Hadrawi; Maryam Karimi; Mahmoud Shamsborhan; Davood Toghraie (Eng. Appl. Artif. Intell., 2023)

Dynamic viscosity prediction using artificial intelligence for an antifreeze containing MWCNT-alumina hybrid nanopowders. - Suqin Hua; Dheyaa J. Jasim; As'ad Alizadeh; S. Ali Eftekhari; Navid Nasajpour Esfahani; Mahmoud Shamsborhan; Davood Toghraie (Eng. Appl. Artif. Intell., 2023)

Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface methodology. - Junjie Li; Dheyaa J. Jasim; Dler Hussein Kadir; Hamid Maleki; Navid Nasajpour Esfahani; Mahmoud Shamsborhan; Davood Toghraie (Eng. Appl. Artif. Intell., 2024)