Yurii Shmelov
Orcid: 0000-0002-3942-2003
According to our database1,
Yurii Shmelov
authored at least 18 papers
between 2020 and 2023.
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Bibliography
2023
Neural Network Method for Controlling the Helicopters Turboshaft Engines Free Turbine Speed at Flight Modes.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023
Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter.
Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2023
Neural Network Method for Parametric Adaptation Helicopters Turboshaft Engines On-Board Automatic Control System Parameters.
Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems. Volume III: Intelligent Systems Workshop, 2023
Modified Neural Network Fault-Tolerant Closed Onboard Helicopters Turboshaft Engines Automatic Control System.
Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2023
Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems. Volume III: Intelligent Systems Workshop, 2023
Neural Network Method for Detecting and Diagnostics Helicopters Turboshaft Engines Surge at Flight Modes.
Proceedings of The Sixth International Workshop on Computer Modeling and Intelligent Systems (CMIS 2023), 2023
Helicopters Turboshaft Engines Intelligent Control Algorithms Synthesis, Taking into Account Required Quality Provision.
Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023), 2023
2022
Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method.
Proceedings of the 2nd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP 2022), 2022
Modified Neural Network Method for Trend Analysis of Helicopter Turboshaft Engine Parameters at Flight Modes.
Proceedings of the Selected Papers of the IX International Scientific Conference "Information Technology and Implementation" (IT&I-2022). Conference Proceedings Kyiv, Ukraine, November 30, 2022
Helicopters Turboshaft Engines Parameters Identification at Flight Modes Using Neural Networks.
Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022
Optimization of Helicopters Aircraft Engine Working Process Using Neural Networks Technologies.
Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022
Method for Forecasting of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks.
Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022
Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks.
Proceedings of The Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2022), 2022
Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System.
Proceedings of The Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2022), 2022
2021
Parameter Debugging (Regulation) Method of Helicopters Aircraft Engines in Flight Modes Using Neural Networks.
Proceedings of the Selected Papers of the VIII International Scientific Conference "Information Technology and Implementation" (IT&I-2021), 2021
A Neuro-Fuzzy Expert System for the Control and Diagnostics of Helicopters Aircraft Engines Technical State.
Proceedings of the 17th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference, PhD Symposium, and Posters, Kherson, Ukraine, September 28, 2021
Control and Diagnostics of TV3-117 Aircraft Engine Technical State in Flight Modes Using the Matrix Method for Calculating Dynamic Recurrent Neural Networks.
Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), 2021
2020
Modeling of the TV3-117 Aircraft Engine Technical State as Part of the Helicopter Power Plant in the Form of the Markov Process of Death and Reproduction.
Proceedings of the 16th International Conference on ICT in Education, 2020