Работы, цитирующие эту работу

Работ: 5

Работа: Implementation of gaussian process models for non-linear system identification

1. Probabilistic Approach for System Identification using Machine Learning

   Shokhjakhon Abdufattokhov, Behzod Muhiddinov

   СтатьяGaussian Processes and Bayesian Inference2019 International Conference on Information Science and Communications Technologies (ICISCT)2019Цитирований: 7

   ABIABI:AkademIndex/openalex/2026.other.278155

2. Stochastic Approach for System Identification using Machine Learning

   Shokhjakhon Abdufattokhov, Behzod Muhiddinov

   СтатьяGaussian Processes and Bayesian Inference2019Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.388123

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

   Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova +58

   СтатьяFault Detection and Control SystemsInternational Journal of Emerging Trends in Engineering Research2020Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.514940

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

   Shokhjakhon Abdufattokhov, Nurilla Mahamatov, Kamila Ibragimova +1

   СтатьяBuilding Energy and Comfort OptimizationIndonesian Journal of Electrical Engineering and Computer Science2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.005822

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

   Shokhjakhon Abdufattokhov, Nurilla Mahamatov, Kamila Ibragimova +2

   СтатьяBuilding Energy and Comfort OptimizationBadania Operacyjne i Decyzje/Operations Research and Decisions2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.010467