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

  1. Gaussian Processes for Machine Learning

    Carl Edward Rasmussen, Carl Edward Rasmussen, Christopher K. I. Williams

    Китоб20057 иқтибос
    ABI

  2. Latest developments on the viscosity of nanofluids

    I.M. Mahbubul, R. Saidur, M.A. Amalina

    Мақола20114 иқтибос
    ABI

  3. Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid

    M. Chandrasekar, S. Suresh, A. Chandra Bose

    Мақола20093 иқтибос
    ABI

  4. A review on preparation methods, stability and applications of hybrid nanofluids

    Nor Azwadi Che Sidik, Muhammad Mahmud Jamil, Wan Mohd Arif Aziz Japar +1

    Шарҳ мақола20173 иқтибос
    ABI

  5. A state of the art review on viscosity of nanofluids

    S. M. Sohel Murshed, Patrice Estellé

    Мақола20173 иқтибос
    ABI

  6. 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

    Мақола20203 иқтибос
    ABI

  7. A review on preparation, characterization, properties and applications of nanofluids

    Dhinesh Kumar Devendiran, Valan Arasu Amirtham

    Шарҳ мақола20162 иқтибос
    ABI

  8. 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

    Мақола20192 иқтибос
    ABI

  9. Rheological behaviour of nanofluids

    Haisheng Chen, Yulong Ding, Chunqing Tan

    Мақола20072 иқтибос
    ABI

  10. Viscosity of nanofluids: A review of recent experimental studies

    Kazem Bashirnezhad, Shahab Bazri, Mohammad Reza Safaei +5

    Шарҳ мақола20162 иқтибос
    ABI

  11. 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

    Мақола20162 иқтибос
    ABI

  12. 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

    Мақола20192 иқтибос
    ABI

  13. A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids

    Mahdi Ramezanizadeh, Mohammad Hossein Ahmadi, Mohammad Alhuyi Nazari +2

    Шарҳ мақола20192 иқтибос
    ABI

  14. Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid

    Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahyar Ghazvini +3

    Мақола20192 иқтибос
    ABI

  15. Effect of hybrid nanofluid on heat transfer performance of parabolic trough solar collector receiver

    Recep Ekiciler, Kamil Arslan, Oğuz Turgut +1

    Мақола20202 иқтибос
    ABI

  16. 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

    Мақола20202 иқтибос
    ABI

  17. Сарлавҳасиз

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    ABI

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    ABI

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    ABI