Maryna Petchenko

According to our database, Maryna Petchenko authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter.

Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko

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.

Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko

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.

Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko

Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2023

Neural Network Method for Detecting and Diagnostics Helicopters Turboshaft Engines Surge at Flight Modes.

Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko

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.

Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Tatyana Kozlovskaya, Maryna Petchenko

Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023), 2023

2022

Helicopters Turboshaft Engines Parameters Identification at Flight Modes Using Neural Networks.

Serhii Vladov, Marina Petchenko, Yurii Shmelov, Svitlana Drozdova, Ruslan Yakovliev

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

2021

A Neuro-Fuzzy Expert System for the Control and Diagnostics of Helicopters Aircraft Engines Technical State.

Serhii Vladov, Yurii Shmelov, Marina Petchenko

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