Dakhno Nataliia

Dakhno Nataliia
Verified
Dakhno verified their affiliation via an institutional email.
Verified
Dakhno verified their affiliation via an institutional email.
  • Doctor of Philosophy
  • docent at Taras Shevchenko National University of Kyiv

About

22
Publications
745
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
299
Citations
Introduction
Research interests: decision support systems, iterative methods for solving differential equations, construction of the optimal flight path of an unmanned aerial vehicle.
Current institution
Taras Shevchenko National University of Kyiv
Current position
  • docent

Publications

Publications (22)
Article
This study delves into creating an intelligent control system for self-driving vehicles, utilizing cutting-edge machine learning methods. Central to our approach is the NeuroEvolution of Augmenting Topologies (NEAT) algorithm, implemented in the Python programming language. NEAT plays a pivotal role in refining artificial neural networks, enabling...
Article
Background. Currently, there is a problem of limited resources of individual nodes of sensor networks, to solve many problems (including positioning), there is a need to develop methods for joint work of all nodes of the network. One of such tasks is the task of localization of nodes of the sensor network with self-organization. It consists in dete...
Article
This work considers the methods of optimal linear extrapolation of the flight path of the aircraft, which provide a minimum of the mean square of the forecast error with different amounts of a priori information. The research is based on the canonical decomposition of a vectorial random process. It is determined that the development of modern techn...
Article
Full-text available
The dynamical systems given by integro-differentiation models with K-symmetric K-positive-definite operator are considered. The variational-gradient method was applied to those models. The analysis showed that the implementation of this method does not require knowledge of the operator spectrum, in addition, it has a better convergence rate and is...
Article
Full-text available
A concept targeting information technology is considered. The model of selection of the optimal amount of advertising on various Internet resources, in order to maximize the desired reach to the target audience is analyzed which. This model is different from traditional. A chance constrained target programming model was developed after considering...

Network

Cited By