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Перегляд Факультет систем управління літальних апаратів (№ 3) за назвою 
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  • Факультет систем управління літальних апаратів (№ 3)
  • Перегляд Факультет систем управління літальних апаратів (№ 3) за назвою
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  • Факультет систем управління літальних апаратів (№ 3)
  • Перегляд Факультет систем управління літальних апаратів (№ 3) за назвою
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Перегляд Факультет систем управління літальних апаратів (№ 3) за назвою

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    • Aircrafts control rational intellectualization 

      Kulik, А.S. (ХАІ, 2016)
      Features of flying vehicles that are functioning under destabilizing influence are reviewed. Basic aspects of the rational control in presence of uncertainty are introduced through the proposed principle of control on ...
    • Algorithms for control of longitudinal motion of a two-wheel experimental sample 

      Kulik, A.; Dergachev, K.; Pasichnik, S.; Nemshilov, Y.; Filippovich, E. (ХАІ, 2021)
      The subject of study is the process of forming algorithms for controlling the angular and translational move-ments of a two-wheeled experimental sample (TWES). The aim is to develop approaches to the formation of control ...
    • An adaptive learning, technical intelligent tutoring system for signal-parametric fault-tolerant systems 

      Martinez Bastida, B.J.; Chukhray, А.G. (ХАІ, 2015)
      In this paper, it is presented an intelligent tutoring system for signal-parametric fault-tolerant systems. The Technical Intellectual Tutoring System (TITUS) takes advantage of Bayesian networks (BNs), which are a formal ...
    • An improved fault-tolerant algorithm for a gyroscopic sensors unit 

      Kulik, A.S.; Martinez-Bastida, J.P. (ХАИ, 2012)
      An improved fault tolerant algorithm is presented. Its mathematical models as well as its implementation are discussed in this work. The algorithm’s effectiveness has been proved by means of computer program and applied to ...
    • Analysis and evaluation of announcement of medical workers and its automation 

      Balitskiy, V. (Планета-прінт, 2019)
      The aim of this study is to create a software package that would allow for automated assessment of the knowledge of nurses about the prevention of hand hygiene in the performance of professional duties.
    • Analysis of protecting methods of objects configuration space 

      Tomina, I.S.; Pischaniy, V.S. (Планета-прінт, 2019)
    • Application of machine learning methods for time series forecasting 

      Kapusta, D. (Планета-прінт, 2020)
    • Application of machine learning methods to COVID-19 epidemic process simulation 

      Alireza, M. (Планета-прінт, 2020)
      This research is based on Linear Regression and SIR models to analyze the available datasets and present a practical understanding of the trend, which as a result will lead to the ability to forecast the cases in upcoming days.
    • Application of neural networks for predicting epidemic processes 

      Piletskyi, P. (Планета-прінт, 2019)
    • Application of the genetic algorithm for solving the problem of optimal placement of rectangles 

      Kozhina, N.V. (Планета-прінт, 2019)
    • Application of the method of fuzzy clustering of k-means in the problems of recognition of patients in medical monitoring systems 

      Zaiarna, V. (Планета-прінт, 2019)
      In this paper the actual problem of clustering data in medicine.
    • Assessing the impact of the Russian war in Ukraine on covid-19 transmission in Spain: a machine learning-based study 

      Chumachenko, D.; Dudkina, T.; Chumachenko, T. (ХАІ, 2023)
      The paper describes the results of an experimental study assessing the impact of the Russian full-scale war in Ukraine on COVID-19 dynamics in Spain. The developed model showed good performance to use it in public health ...
    • Backward interval mapping as the foundation of data coding algorithm based on chaotic recurrent fuzzy models 

      Sokolov, A.Y.; Chervenko, S.A.; Yarovaya, O.V.; Emad, A.R. (ХАІ, 2004)
      In this paper we investigate the dynamic systems, which are represented by recurrent Takagi-Sugeno rule bases that are widely used in many applications. The algorithm that shows the chaotic behaviour of Takagi-Sugeno models ...
    • Barriers of COVID-19 vaccination in ukraine during the war: the simulation study using arima model 

      Chumachenko, D.; Chumachenko, T.; Kirinovych, N.; Meniailov, I.; Muradyan, O.; Salun, O. (ХАІ, 2022)
      The purpose of the study is to develop a model of vaccination against COVID-19 in Ukraine and to study the impact of war on this process. The research is multidisciplinary and includes a sociological study of the attitude ...
    • Basic electrical engineering 

      Zimovin, A.J.; Postnikov, V.N.; Volchanskaya, L.I. (ХАІ, 2008)
      This manual has been prepared to suit bachelor, specialist and master curriculum. In the first part, calculation of linear and nonlinear electric and magnetic circuits is discussed. Each section includes theory, glossary, ...
    • Basic electrical engineering. Pt. 2 

      Zimovin, A.Y.; Postnikov, V.N.; Volchanskaya, L.I. (ХАІ, 2011)
      The second part of the manual has been prepared to suit bachelor and master syllabus. This part is devoted to studying structure, principle of operation, performance characteristics and main parameters of rotating ...
    • Chaotic behavior of Takagi-Sugeno recurrent models with Large-Scale time delay 

      Emad, A.R. (ХАІ, 2004)
      In this paper we consider the dynamic systems, which are represented by recurrent Takagi-Sugeno (TS) fuzzy rule bases. We found the conditions for the recurrent rule base with large-scale time delay that cause the ...
    • Classification of disinformation in hybrid warfare: an application of XLNet during the Russia’s war against Ukraine 

      Padalko, H.; Chomko, V.; Yakovlev, S.; Morita, P.P. (KhAI, 2024)
      The spread of disinformation has become a critical component of hybrid warfare, particularly in Russia’s war against Ukraine, where social media serves as a battlefield for influence and propaganda. This study develops a ...
    • Classification of patients in medical monitoring systems with the help of trained artificial neural 

      Rozhkova, V.A. (Планета-прінт, 2019)
    • Classification of the information integrity recovery methods in the systems of various complexity 

      Slizovskaya, I. (ХАІ, 2008)
      The main methods of data recovery are considered, the efficiency analysis according to the cost criteria, recovery speed and ability to apply it to various tasks was carried out.

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