Revolutionizing Aerospace and Defense: The Impact of AI and Robotics on Modern Warfare

DK Shetty, G Prerepa, N Naik, R Bhat… - Proceedings of the 4th …, 2022 - dl.acm.org
Integrating artificial intelligence (AI) and robotics in the aerospace and defense industry has
revolutionized how things are done. This has led to cost savings, faster design and …

Mathematical Model of Rheological Processes of Composite Materials Deformation

I Savchenko, O Shapoval, V Bakharev… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
Inelastic materials, in particular, composites are widely used in industry. This necessitates
the development and research of mathematical models to describe the rheological …

[HTML][HTML] Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on …

S Vladov, M Bulakh, J Czyżewski, O Lytvynov… - Energies, 2024 - mdpi.com
This research is devoted to the development of a method for helicopter turboshaft engine
energy characteristics control by regulating the free turbine rotor speed and fuel …

Automated Melt Temperature Control System In Induction Furnace

O Razzhivin, O Markov… - 2022 IEEE 4th International …, 2022 - ieeexplore.ieee.org
In the article the actual scientific and technical task of research of process of management of
heating of melt in the induction furnace due to introduction of system of the automated …

Computer simulation of safety processes of composite structures rheological properties

I Savchenko, O Shapoval, T Chupilko… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
Mechanical means directly related to the information support path (locators, ob-servation
stations, tracking, detection, localization, etc.) require special attention within the technical …

[PDF][PDF] Modified neural network method for stabilizing multi-rotor unmanned aerial vehicles

SI Vladov, YM Shmelov, RP Yakovliev, AS Khebda… - 2023 - ceur-ws.org
The work is devoted to the development of a neural network method for stabilizing multirotor
unmanned aerial vehicles in three stabilization angles (roll, yaw, pitch), which is based on a …

[PDF][PDF] Helicopters Turboshaft Engines Intelligent Control Algorithms Synthesis, Taking into Account Required Quality Provision.

S Vladov, Y Shmelov, R Yakovliev, T Kozlovskaya… - CITI, 2023 - ceur-ws.org
The work is devoted to the development of a reconfigured modified closed onboard
helicopters turboshaft engines automatic control system, which is based on the use of a …

Influence of the Neural Network Morphology Symmetry on the Complex Dynamic Objects' Diagnostics

S Vladov, V Vysotska, V Vasylenko, V Lytvyn… - Symmetry, 2024 - mdpi.com
In this article, to study the influence of neural networks' morphology symmetry, a
mathematical model is developed that considers dynamic symmetry for diagnosing complex …

Expert Assessment of Information Protection in Complex Energy Systems

O Parshyna, M Parshyna, Y Parshyn… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
The paper considers the important problem of information protection in complex energy
systems. The expert assessment of information protection in complex energy systems …

[PDF][PDF] Modified Neural Network Method for Trend Analysis of Helicopter Turboshaft Engine Parameters at Flight Modes.

S Vladov, Y Shmelov, R Yakovliev, O Ivanovska - IT&I, 2022 - ceur-ws.org
The article discusses the use of expert systems with neural network knowledge bases for the
process of helicopters turboshaft engine parameters at flight modes information monitoring …