activity
20112016
most citedStructure of synchronized chaos studied by symbolic analysis in velocity-curvature space

7 citations · 24 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2016★ 1 cited

Deep Learning Algorithms for Signal Recognition in Long Perimeter Monitoring Distributed Fiber Optic Sensors

A. V. Makarenko

In this paper, we show an approach to build deep learning algorithms for recognizing signals in distributed fiber optic monitoring and security systems for long perimeters. Synthes…

cs.SI2016

The dynamics of publishing of posts and comments on facebook (the russian segment, the first five months of 2013)

A. V. Makarenko

The article presents a study of some characteristics of post and comment publishing in the Russian segment of Facebook. A number of non-trivial results has been obtained. For examp…

cs.CV2015

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

A. V. Makarenko, M. G. Volovik

The efficiency of deep machine learning for automatic delineation of tumor areas has been demonstrated for intraoperative neuronavigation using active IR-mapping with the use of th…

nlin.CD2015★ 1 cited

Generalized synchronization of multidimensional chaotic systems in terms of symbolic CTQ-analysis

A. V. Makarenko

A new approach is proposed to the analysis of generalized synchronization of multidimensional chaotic systems. The approach is based on the symbolic analysis of discrete sequences…

physics.data-an2015★ 5 cited

Estimation of the TQ-complexity of chaotic sequences

A. V. Makarenko

A new approach is proposed to the quantitative estimation of the complexity of multidimensional discrete sequences in terms of the shapes of their trajectories in the extended spac…

nlin.CD2015★ 3 cited

Analysis of the Time Structure of Synchronization in Multidimensional Chaotic Systems

A. V. Makarenko

A new approach is proposed to the integrated analysis of the time structure of synchronization of multidimensional chaotic systems. The method allows one to diagnose and quantitati…

nlin.CD2012★ 3 cited

Measure of Synchronism of Multidimensional Chaotic Sequences Based on Their Symbolic Representation in a T-Alphabet

A. V. Makarenko

A new approach to analysis of the synchronization of chaotic oscillations in two (or more) coupled oscillators is described that makes it possible to reveal changes in the structur…

nlin.CD2012★ 7 cited

Structure of synchronized chaos studied by symbolic analysis in velocity-curvature space

A. V. Makarenko

A new method of symbolic analysis based on finite discretization of velocity-curvature space is proposed. A minimum alphabet is introduced in a natural way, and a number of initial…

eess.SY2011★ 1 cited

Architectural solutions of conformal network-centric staring-sensor systems with spherical field of view

A. V. Makarenko, A. V. Pravdivtsev

The article presents the concept of network-centric conformal electro-optical systems construction with spherical field of view. It discusses abstract passive distributed electro-o…

nlin.CD2011★ 1 cited

Recursive Tangential-Angular Operator as Analyzer of Synchronized Chaos

A. V. Makarenko

A method for the quantitative analysis of the degree and parameters of synchronization of the chaotic oscillations in two coupled oscillators is proposed, which makes it possible t…

cs.CY2011★ 2 cited

Phenomenological Model for Growth of Volumes Digital Data

Andrey V. Makarenko

Currently, experts from IT industry are closely monitoring the soaring total volume of digital data. Moreover the problem is not purely technical, it directly affects human civiliz…