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. - Serhii Vladov; Yurii Shmelov; Tetiana Shmelova (ICTERI, 2020)

Control and Diagnostics of TV3-117 Aircraft Engine Technical State in Flight Modes Using the Matrix Method for Calculating Dynamic Recurrent Neural Networks. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (CMIS, 2021)

A Neuro-Fuzzy Expert System for the Control and Diagnostics of Helicopters Aircraft Engines Technical State. - Serhii Vladov; Yurii Shmelov; Marina Petchenko (ICTERI, 2021)

Parameter Debugging (Regulation) Method of Helicopters Aircraft Engines in Flight Modes Using Neural Networks. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (IT&I Workshops, 2021)

Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (CMIS, 2022)

Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (CMIS, 2022)

Method for Forecasting of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (COLINS, 2022)

Optimization of Helicopters Aircraft Engine Working Process Using Neural Networks Technologies. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (COLINS, 2022)

Helicopters Turboshaft Engines Parameters Identification at Flight Modes Using Neural Networks. - Serhii Vladov; Marina Petchenko; Yurii Shmelov; Svitlana Drozdova; Ruslan Yakovliev (CSIT, 2022)

Modified Neural Network Method for Trend Analysis of Helicopter Turboshaft Engine Parameters at Flight Modes. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Olha Ivanovska (IT&I, 2022)

Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev (ITTAP, 2022)

Helicopters Turboshaft Engines Intelligent Control Algorithms Synthesis, Taking into Account Required Quality Provision. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Tatyana Kozlovskaya; Maryna Petchenko (CITI, 2023)

Neural Network Method for Detecting and Diagnostics Helicopters Turboshaft Engines Surge at Flight Modes. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Maryna Petchenko (CMIS, 2023)

Modified Neural Network Method for Stabilizing Multi-Rotor Unmanned Aerial Vehicles. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Alona Khebda; Oksana Brusakova (COLINS (3), 2023)

Modified Neural Network Fault-Tolerant Closed Onboard Helicopters Turboshaft Engines Automatic Control System. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Maryna Petchenko (COLINS (1), 2023)

Neural Network Method for Parametric Adaptation Helicopters Turboshaft Engines On-Board Automatic Control System Parameters. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Maryna Petchenko (COLINS (3), 2023)

Modified Neuro-Fuzzy Failure Classifier of Helicopters Turboshaft Engines. - Serhii Vladov; Ruslan Yakovliev; Oleksandr Hubachov; Kateryna Mykolenko; Svitlana Drozdova; Juliia Rud (CSIT, 2023)

Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Maryna Petchenko (ICTERI, 2023)

Neural Network Modeling of Helicopters Turboshaft Engines at Flight Modes Using an Approach Based on "Black Box" Models. - Serhii Vladov; Ruslan Yakovliev; Oleksandr Hubachov; Juliia Rud; Yurii Stushchanskyi (IT&I, 2023)

Neuro-Fuzzy System for Detection Fuel Consumption of Helicopters Turboshaft Engines. - Serhii Vladov; Ruslan Yakovliev; Oleksandr Hubachov; Juliia Rud (ITTAP, 2023)

On-board Hybrid Neural Network Classifier of Helicopters Turboshaft Engines Operational Status. - Serhii Vladov; Ruslan Yakovliev; Oleksandr Hubachov; Juliia Rud (ITTAP, 2023)

Neural Network Method for Controlling the Helicopters Turboshaft Engines Free Turbine Speed at Flight Modes. - Serhii Vladov; Yurii Shmelov; Ruslan Yakovliev; Yurii Stushchanskyi; Yurii Havryliuk (MoMLeT+DS, 2023)

Hybrid method for restoring missing sensor data with adaptive control based on neuro-fuzzy networks. - Anatoliy Sachenko; Victoria Vysotska; Serhii Vladov; Viktor Vasylenko; Maciej Dobrowolski (AdvAIT, 2024)

The controller synthesis automation using a dynamic mathematical model and genetic algorithms. - Victoria Vysotska; Vasyl Lytvyn; Serhii Vladov; Oleksandr Muzychuk; Oleksii Kryshan (BAIT, 2024)

Smart system for passive detection and classification of mines using feed-forward deep neural networks. - Vasyl Lytvyn; Roman Peleshchak; Victoria Vysotska; Ivan Peleshchak; Lyubomyr Chyrun; Mariia Nazarkevych; Serhii Vladov; Olga Lozynska; Serhii Voloshyn; Olena Nagachevska (CIAW, 2024)

Intelligent system development for detecting suicidal intentions based on Ukrainian literary works analysis. - Victoria Vysotska; Lyubomyr Chyrun; Serhii Vladov; Sofia Chyrun; Oksana Markiv; Liubov Kolyasa; Valerii Sokurenko; Oleksandr Muzychuk; Arsen Blyzniuk; Rostyslav Fedchuk (CIAW, 2024)

Information technology for promoting Instagram accounts. - Victoria Vysotska; Mariia Nazarkevych; Serhii Vladov; Sofia Chyrun; Olga Lozynska; Tetiana Lavrut; Ihor Budz; Oleksandr Muzychuk; Olena Nagachevska; Stanislav Diakun (CIAW, 2024)

The dual-channel logic controller synthesis for controlling complex dynamic objects. - Victoria Vysotska; Serhii Vladov; Pavlo Pukach; Oleksandr Lavrut; Oleksandr Muzychuk; Denys Baranovskyi; Danylo Severynenko (CIAW, 2024)

The helicopter turboshaft engines parametric debugging using neural network technology. - Victoria Vysotska; Serhii Vladov; Yevhen Volkanin; Andrii Siora; Maryna Bulakh; Oleksandr Muzychuk; Oleksandr Koren (CIAW, 2024)

Neural network method for identifying potential defects in complex dynamic objects. - Victoria Vysotska; Vasyl Lytvyn; Serhii Vladov; Ruslan Yakovliev; Yevhen Volkanin (CITI, 2024)

Hybrid Neural Network Identifying Complex Dynamic Objects: Comprehensive Modeling and Training Method Modification. - Victoria Vysotska; Serhii Vladov; Ruslan Yakovliev; Alexey Yurko (CMIS, 2024)

Neuro-Fuzzy Methods for Detecting Sensor Failures in Helicopters Turboshaft Engines. - Victoria Vysotska; Serhii Vladov; Ruslan Yakovliev; Alexey Yurko; Andrii Voronin (COLINS (1), 2024)

Defects Diagnostics Method Based on Statistical Big Data Analisis of Measured Parameters. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Aleksandr Gozhyj; Irina Kalinina (CSIT, 2024)

Fuzzy Systems Synthesis Method Based on Adaptive Controllers. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Vasyl Lytvyn; Vitalii Danylyk (CSIT, 2024)

Cyber-Physical System for Synthesizing Adaptive Fuzzy Controllers Based on Modified ANFIS Neuro-Fuzzy Network. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Vasyl Lytvyn; Vitalii Danylyk (CSIT, 2024)

Determining Aviation Equipment Malfunctions Type Influence on Neural Network Diagnostic Models Behavior. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Roman Peleshchak; Ivan Peleshchak (CSIT, 2024)

Aviation Equipment Residual Life Determination Based on Neural Network Technologies. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Anatoliy Sachenko; Svitlana Sachenko (CSIT, 2024)

Hybrid Networks Training Method Based on Distributed and Parallel Computing Technology. - Serhii Vladov; Ruslan Yakovliev; Alexey Yurko; Victoria Vysotska; Vasyl Lytvyn; Roman Romanchuk (ISDMCI (2), 2024)

The optimal controller parametric synthesis using variational calculus for a dynamic system general mathematical model. - Victoria Vysotska; Vasyl Lytvyn; Serhii Vladov; Viktor Vasylenko; Oleksii Kryshan (ITTAP, 2024)

Training neural network method modification for forward error propagation based on adaptive components. - Victoria Vysotska; Vasyl Lytvyn; Mariia Nazarkevych; Serhii Vladov; Ruslan Yakovliev; Alexey Yurko (MoMLeT, 2024)

An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Lyubomyr Chyrun (Big Data Cogn. Comput., 2024)

Helicopters Turboshaft Engines Neural Network Modeling under Sensor Failure. - Serhii Vladov; Anatoliy Sachenko; Valerii Sokurenko; Oleksandr Muzychuk; Victoria Vysotska (J. Sens. Actuator Networks, 2024)

Neural Network Signal Integration from Thermogas-Dynamic Parameter Sensors for Helicopters Turboshaft Engines at Flight Operation Conditions. - Serhii Vladov; Lukasz Scislo; Valerii Sokurenko; Oleksandr Muzychuk; Victoria Vysotska; Serhii Osadchy; Anatoliy Sachenko (Sensors, 2024)

Intelligent Method of Identifying the Nonlinear Dynamic Model for Helicopter Turboshaft Engines. - Serhii Vladov; Arkadiusz Banasik; Anatoliy Sachenko; Wojciech M. Kempa; Valerii Sokurenko; Oleksandr Muzychuk; Piotr Pikiewicz; Agnieszka Molga; Victoria Vysotska (Sensors, 2024)

Intelligent Controller of Helicopter Turboshaft Engines' Gas Temperature with Compensation of Transient Process's Inertial Delays and Optimization. - Serhii Vladov; Anatoliy Sachenko; Nataliia Vladova; Danylo Shved (CMIS, 2025)

Intelligent method for the helicopter turboshaft engines gas temperature determining under rapid changes in its values conditions 179-197. - Anatoliy Sachenko; Victoria Vysotska; Serhii Vladov; Nataliia Vladova; Danylo Shved (IntelITSIS, 2025)