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Ish: 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

    KitobOchiq kirish20057 iqtibos
    ABI

  2. Latest developments on the viscosity of nanofluids

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

    Maqola20114 iqtibos
    ABI

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

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

    Maqola20093 iqtibos
    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

    Sharh maqola20173 iqtibos
    ABI

  5. 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

    MaqolaOchiq kirish20193 iqtibos
    ABI

  6. Rheological behaviour of nanofluids

    Haisheng Chen, Yulong Ding, Chunqing Tan

    Maqola20073 iqtibos
    ABI

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

    S. M. Sohel Murshed, Patrice Estellé

    Maqola20173 iqtibos
    ABI

  8. 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

    Maqola20203 iqtibos
    ABI

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

    Dhinesh Kumar Devendiran, Valan Arasu Amirtham

    Sharh maqola20162 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

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

    Kazem Bashirnezhad, Shahab Bazri, Mohammad Reza Safaei +5

    Sharh maqola20162 iqtibos
    ABI

  12. 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

    Maqola20162 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  14. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  15. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  16. 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

    Maqola20192 iqtibos
    ABI

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

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

    Sharh maqola20192 iqtibos
    ABI

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

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

    Maqola20192 iqtibos
    ABI

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

    Recep Ekiciler, Kamil Arslan, Oğuz Turgut +1

    Maqola20202 iqtibos
    ABI

  20. 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

    Maqola20202 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI