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7 ta ish

Ish: Gaussian Processes for Machine Learning

  1. Approaches to the construction of nonlinear models in fuzzy environment

    D.T. Muhamediyeva, J Sayfiyev

    MaqolaGaussian Processes and Bayesian InferenceJournal of Physics Conference Series201912 iqtibos
    ABI

  2. Probabilistic Approach for System Identification using Machine Learning

    Shokhjakhon Abdufattokhov, Behzod Muhiddinov

    MaqolaGaussian Processes and Bayesian Inference2019 International Conference on Information Science and Communications Technologies (ICISCT)20197 iqtibos
    ABI

  3. Stochastic Approach for System Identification using Machine Learning

    Shokhjakhon Abdufattokhov, Behzod Muhiddinov

    MaqolaGaussian Processes and Bayesian Inference20194 iqtibos
    ABI

  4. Gaussian Processes Regression based Energy System Identification of Manufacturing Process for Model Predictive Control

    Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova +58

    MaqolaFault Detection and Control SystemsInternational Journal of Emerging Trends in Engineering Research20204 iqtibos
    ABI

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

    Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov +3

    MaqolaPhase Equilibria and ThermodynamicsInternational Journal of Chemical Engineering20221 iqtibos
    ABI

  6. Predictive and probabilistic modelling using machine learning for building indoor climate control

    Shokhjakhon Abdufattokhov, Nurilla Mahamatov, Kamila Ibragimova +1

    MaqolaBuilding Energy and Comfort OptimizationIndonesian Journal of Electrical Engineering and Computer Science20220 iqtibos
    ABI

  7. Supervisory optimal control using machine learning for building thermal comfort

    Shokhjakhon Abdufattokhov, Nurilla Mahamatov, Kamila Ibragimova +2

    MaqolaBuilding Energy and Comfort OptimizationBadania Operacyjne i Decyzje/Operations Research and Decisions20220 iqtibos
    ABI