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Ish: Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods
A fast and elitist multiobjective genetic algorithm: NSGA-II
Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal +1
Maqola200214 iqtibosABIPrediction of the thermal behavior of multi-walled carbon nanotubes-CuO-CeO2 (20-40-40)/water hybrid nanofluid using different types of regressors and evolutionary algorithms for designing the best artificial neural network modeling
Reza Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi +4
MaqolaOchiq kirish20234 iqtibosABISTATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS
Edmundas Kazimieras Zavadskas, Zenonas Turskis, Simona Kildienė
MaqolaOchiq kirish20143 iqtibosABIMulti-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks
Reza Rostamzadeh‐Renani, Dheyaa J. Jasim, Mohammadreza Baghoolizadeh +4
Maqola20233 iqtibosABIPrediction of nanofluids viscosity using random forest (RF) approach
Majid Gholizadeh, Mehdi Jamei, Iman Ahmadianfar +1
Maqola20203 iqtibosABIA comprehensive review on nanofluids: Synthesis, cutting-edge applications, and future prospects
Habib Ben Bacha, Naeem Ullah, Aamir Hamid +1
Sharh maqola20242 iqtibosABI