关注
Юрій Шмельов (Yurii Shmelov, Y.Shmelev) ORCID https://orcid.org/ 0000-0002-3942-2003
Юрій Шмельов (Yurii Shmelov, Y.Shmelev) ORCID https://orcid.org/ 0000-0002-3942-2003
在 univd.edu.ua 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Expert system for identification of the technical state of the aircraft engine TV3-117 in flight modes
Y Shmelov, S Vladov, Y Klimova, M Kirukhina
2018 IEEE First International Conference on System Analysis & Intelligent …, 2018
202018
Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method.
S Vladov, Y Shmelov, R Yakovliev
ITTAP, 205-224, 2022
142022
Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks.
S Vladov, Y Shmelov, R Yakovliev
CMIS, 108-125, 2022
132022
Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System.
S Vladov, Y Shmelov, R Yakovliev
CMIS, 28-47, 2022
112022
Modified Neural Network Fault-Tolerant Closed Onboard Helicopters Turboshaft Engines Automatic Control System
S Vladov, Y Shmelov, R Yakovliev, P M.
COLINS-2023: 7th International Conference on Computational Linguistics and …, 2023
102023
Neural network method for helicopters turboshaft engines working process parameters identification at flight modes
S Vladov, Y Shmelov, R Yakovliev, M Petchenko, S Drozdova
2022 IEEE 4th International Conference on Modern Electrical and Energy …, 2022
92022
Modified Searchless Method for Identification of Helicopters Turboshaft Engines at Flight Modes Using Neural Networks
S Vladov, Y Shmelov, R Yakovliev
2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek), 1-6, 2022
82022
Research of parametric influence of light-emitting diodes on the multicomponent module near-field illuminated zone formation
Y Shmelov, A Bazyk, N Kitsel
Proceedings of the 7th International Conference on Industrial Engineering …, 2022
82022
A Neuro-Fuzzy Expert System for the Control and Diagnostics of Helicopters Aircraft Engines Technical State
S Vladov, Y Shmelov, M Petchenko
82021
Diagnostics of the state of the Mi-8MTV helicopter engine using neural networks
YN Shmelev, SI Vladov, SN Boyko, YR Klimova, SY Vishnevskiy
Diagnostika sostoyaniya dvigatelya vertoleta Mi-8MTV s primeneniem …, 2018
82018
Simulator training optimization
VM Sineglazov, JM Shmelev
Electronics and control systems, 63-66, 2014
82014
Helicopters Turboshaft Engines Parameters Identification at Flight Modes Using Neural Networks
S Vladov, M Petchenko, Y Shmelov, S Drozdova, R Yakovliev
2022 IEEE 17th International Conference on Computer Sciences and Information …, 2022
72022
Estimation of helicopter pilots training efficiency in the simulator
VM Sineglazov, JM Shmelev
Electronics and control systems, 104-107, 2013
72013
Improving the efficiency of helicopter pilots training in the simulator
VM Sineglazov, JM Shmelev
Electronics and control systems, 120-123, 2013
72013
Контроль і діагностика технічного стану авіаційного двигуна ТВ3-117 із застосуванням модернізованих методів найменших квадратів й зрівнювання
СІ Владов, ЮМ Шмельов, ЛМ Пилипенко, НВ Подгорних, ...
Вчені записки Таврійського національного університету імені ВІ Вернадського …, 2020
62020
Simulator training optimization of UAV external pilots
J Shmelev
2014 IEEE 3rd International Conference on Methods and Systems of Navigation …, 2014
62014
Optimization of Helicopters Aircraft Engine Working Process Using Neural Networks Technologies.
S Vladov, Y Shmelov, R Yakovliev
COLINS, 1639-1656, 2022
52022
Intelligent automation systems
O Avrunin, S Vladov, M Petchenko, V Semenets, V Tatarinov, H Telnova, ...
Kremenchuk, Novabook, 322, 2021
52021
Research of classification method of TV3-117 engine ratings operations based on neural network technologies
Y Shmelоv, S Vladov, O Kryshan, S Gvozdik, L Chyzhova
Innovative technologies and scientific solutions for industries, 6, 2018
52018
Identification of rear model of TV3-117 aircraft engine based on the basis of neuro-multi-functional technologies
S Vladov, Y Shmelov, I Derevyanko, I Dieriabina, L Chyzhova
Сучасний стан наукових досліджень та технологій в промисловості, 43-50, 2019
42019
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