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Yurii Shmelov
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2020 – today
- 2023
- [c18]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Tatyana Kozlovskaya, Maryna Petchenko:
Helicopters Turboshaft Engines Intelligent Control Algorithms Synthesis, Taking into Account Required Quality Provision. CITI 2023: 71-90 - [c17]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko:
Neural Network Method for Detecting and Diagnostics Helicopters Turboshaft Engines Surge at Flight Modes. CMIS 2023: 86-105 - [c16]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko:
Modified Neural Network Fault-Tolerant Closed Onboard Helicopters Turboshaft Engines Automatic Control System. COLINS (1) 2023: 160-179 - [c15]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Maryna Petchenko:
Neural Network Method for Parametric Adaptation Helicopters Turboshaft Engines On-Board Automatic Control System Parameters. COLINS (3) 2023: 179-195 - [c14]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Alona Khebda, Oksana Brusakova:
Modified Neural Network Method for Stabilizing Multi-Rotor Unmanned Aerial Vehicles. COLINS (3) 2023: 231-247 - [c13]Serhii Vladov
, Yurii Shmelov
Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter. ICTERI 2023: 82-97 - [c12]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Yurii Stushchanskyi, Yurii Havryliuk:
Neural Network Method for Controlling the Helicopters Turboshaft Engines Free Turbine Speed at Flight Modes. MoMLeT+DS 2023: 89-108 - 2022
- [c11]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System. CMIS 2022: 28-47 - [c10]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks. CMIS 2022: 108-125 - [c9]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Method for Forecasting of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks. COLINS 2022: 974-985 - [c8]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Optimization of Helicopters Aircraft Engine Working Process Using Neural Networks Technologies. COLINS 2022: 1639-1656 - [c7]Serhii Vladov, Marina Petchenko, Yurii Shmelov, Svitlana Drozdova
Helicopters Turboshaft Engines Parameters Identification at Flight Modes Using Neural Networks. CSIT 2022: 5-8 - [c6]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, Olha Ivanovska:
Modified Neural Network Method for Trend Analysis of Helicopter Turboshaft Engine Parameters at Flight Modes. IT&I 2022: 11-29 - [c5]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method. ITTAP 2022: 205-224 - 2021
- [c4]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Control and Diagnostics of TV3-117 Aircraft Engine Technical State in Flight Modes Using the Matrix Method for Calculating Dynamic Recurrent Neural Networks. CMIS 2021: 97-109 - [c3]Serhii Vladov, Yurii Shmelov, Marina Petchenko:
A Neuro-Fuzzy Expert System for the Control and Diagnostics of Helicopters Aircraft Engines Technical State. ICTERI 2021: 40-52 - [c2]Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev:
Parameter Debugging (Regulation) Method of Helicopters Aircraft Engines in Flight Modes Using Neural Networks. IT&I Workshops 2021: 1-14 - 2020
- [c1]Serhii Vladov, Yurii Shmelov, Tetiana Shmelova:
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. ICTERI 2020: 400-407
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