Работы, на которые ссылается эта работа

Работ: 79

Работа: Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach

Gaussian Processes for Machine Learning
Carl Edward Rasmussen, Carl Edward Rasmussen, Christopher K. I. Williams
Книга2005Цитирований: 7
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Latest developments on the viscosity of nanofluids
I.M. Mahbubul, R. Saidur, M.A. Amalina
Статья2011Цитирований: 4
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Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid
M. Chandrasekar, S. Suresh, A. Chandra Bose
Статья2009Цитирований: 3
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A review on preparation methods, stability and applications of hybrid nanofluids
Nor Azwadi Che Sidik, Muhammad Mahmud Jamil, Wan Mohd Arif Aziz Japar +1
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A state of the art review on viscosity of nanofluids
S. M. Sohel Murshed, Patrice Estellé
Статья2017Цитирований: 3
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An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3-ZnO hybrid nanofluids
Ifeoluwa Wole‐Osho, Eric C. Okonkwo, Doğa Kavaz +1
Статья2020Цитирований: 3
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A review on preparation, characterization, properties and applications of nanofluids
Dhinesh Kumar Devendiran, Valan Arasu Amirtham
Обзорная статья2016Цитирований: 2
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Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid
Ibrahim M. Alarifi, Hoàng M. Nguyẽn, Ali Naderi +1
Статья2019Цитирований: 2
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Rheological behaviour of nanofluids
Haisheng Chen, Yulong Ding, Chunqing Tan
Статья2007Цитирований: 2
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Viscosity of nanofluids: A review of recent experimental studies
Kazem Bashirnezhad, Shahab Bazri, Mohammad Reza Safaei +5
Обзорная статья2016Цитирований: 2
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Dynamic viscosity of MWCNT/ZnO–engine oil hybrid nanofluid: An experimental investigation and new correlation in different temperatures and solid concentrations
Meisam Asadi, Amin Asadi
Статья2016Цитирований: 2
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Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Mahdi Sharifzadeh, Alexandra Sikinioti-Lock, Nilay Shah
Статья2019Цитирований: 2
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A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids
Mahdi Ramezanizadeh, Mohammad Hossein Ahmadi, Mohammad Alhuyi Nazari +2
Обзорная статья2019Цитирований: 2
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Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid
Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahyar Ghazvini +3
Статья2019Цитирований: 2
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Effect of hybrid nanofluid on heat transfer performance of parabolic trough solar collector receiver
Recep Ekiciler, Kamil Arslan, Oğuz Turgut +1
Статья2020Цитирований: 2
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Prediction of thermo-physical properties of 1-Butyl-3-methylimidazolium hexafluorophosphate for CO2 capture using machine learning models
Shaukat Ali Mazari, Ahsan Raza Siyal, Nadeem Hussain Solangi +6
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