Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works cited by this work

79 works

Work: 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

    Book20057 citations
    ABI

  2. Latest developments on the viscosity of nanofluids

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

    Article20114 citations
    ABI

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

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

    Article20093 citations
    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

    Review article20173 citations
    ABI

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

    S. M. Sohel Murshed, Patrice Estellé

    Article20173 citations
    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

    Article20203 citations
    ABI

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

    Dhinesh Kumar Devendiran, Valan Arasu Amirtham

    Review article20162 citations
    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

    Article20192 citations
    ABI

  9. Rheological behaviour of nanofluids

    Haisheng Chen, Yulong Ding, Chunqing Tan

    Article20072 citations
    ABI

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

    Kazem Bashirnezhad, Shahab Bazri, Mohammad Reza Safaei +5

    Review article20162 citations
    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

    Article20162 citations
    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

    Article20192 citations
    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

    Review article20192 citations
    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

    Article20192 citations
    ABI

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

    Recep Ekiciler, Kamil Arslan, Oğuz Turgut +1

    Article20202 citations
    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

    Article20202 citations
    ABI

  17. Untitled

    Other1 citations
    ABI

  18. Untitled

    Other1 citations
    ABI

  19. Untitled

    Other1 citations
    ABI

  20. Untitled

    Other1 citations
    ABI

  21. Untitled

    Other1 citations
    ABI

  22. Untitled

    Other1 citations
    ABI

  23. Untitled

    Other1 citations
    ABI

  24. Untitled

    Other1 citations
    ABI

  25. Untitled

    Other1 citations
    ABI