Browsing Факультет систем управління літальних апаратів (№ 3) by Title
Now showing items 7-26 of 935
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An adaptive learning, technical intelligent tutoring system for signal-parametric fault-tolerant systems
(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
(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
(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
(Планета-прінт, 2019) -
Application of machine learning methods for time series forecasting
(Планета-прінт, 2020) -
Application of machine learning methods to COVID-19 epidemic process simulation
(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
(Планета-прінт, 2019) -
Application of the genetic algorithm for solving the problem of optimal placement of rectangles
(Планета-прінт, 2019) -
Application of the method of fuzzy clustering of k-means in the problems of recognition of patients in medical monitoring systems
(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
(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
(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
(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
(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
(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
(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 the information integrity recovery methods in the systems of various complexity
(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. -
Comparative analysis of continuous functional representations of special classes of combinatorial configurations in discrete optimization problems
(Планета-прінт, 2019)The purpose of the work to create software for solving discreteoptimization problems in algebraic statement using nonlinear programming methods. To make a comparative analysis and to create recommendations regarding effective ... -
Comparative analysis of the machine learning models determining COVID-19 patient risk levels
(ХАІ, 2023)The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, emphasizing the need for predictive tools for resource allocation and patient care. This study delves into the potential of machine ... -
Comparative study of linear regression and sir models of covid-19 propagation in Ukraine before vaccination
(ХАІ, 2021)The study aims to develop machine learning and compartment models of COVID-19 epidemic process and to investigate experimental results of simulation. The object of research is COVID-19 epidemic process and its dynamics in ...