Papers and publications | Constructive Cybernetics

Papers and publications (in English)


2018 year

Reports

A.V. Makarenko, Deep Convolutional Neural Networks for Chaos Identification in Signal Processing. // The IEEE EUSIPCO 2018 / Proceedings – Rome, EURASIP, 2018, pp. 0-0.

A.V. Makarenko, Deep learning algorithms for estimating Lyapunov exponents from observed time series in discrete dynamic systems. // The XIV International Conference "Stability and Oscillations of Nonlinear Control Systems" / Proceedings – Moscow, ICS RAS, 2018.
Abstract | Presentation

2017 year

Refereed Journals

A.V. Makarenko, Technological aspects of deep-learning algorithm development for processing information in fibre-optic trunk pipeline security systems // Pipeline Science and Technology, 2017, Vol. 1, Issue 2, pp. 103-113.

2016 year

Refereed Journals

A.V. Makarenko, TQ-bifurcations in discrete dynamical systems: Analysis of qualitative rearrangements of the oscillation mode // Journal of Experimental and Theoretical Physics, 2016, Vol. 123, Issue 4, pp.  666-676, DOI: 10.1134/S1063776116090144.
Abstract

A.V. Makarenko, The Study of Discrete Mappings in TQ-Space. Basic Principles. //Journal of Math. Sci., 2016, Vol. 219, Issue 2, pp. 190-203, DOI: 10.1007/s10958-016-3096-3.
Abstract

A.V. Makarenko, Analysis of phase synchronization of chaotic oscillations in terms of symbolic CTQ-analysis // Technical Physics, 2016, Vol. 61, Issue 2, pp. 265-273, DOI: 10.1134%2FS106378421602016X.
Abstract

Reports

A.V. Makarenko, Deep Learning Algorithms for Signal Recognition in Long Perimeter Monitoring Distributed Fiber Optic Sensors. // The IEEE International Workshop MLSP 2016 / Proceedings – Vietri sul Mare, IIASS, 2016, pp. 0-0.

A.V. Makarenko, A Constructive Subdivision of TQ-space. // The International Conference on Differential Equations and Dynamical Systems / Abstracts – Suzdal, Steklov MI RAS, 2016, pp. 266-268.
Abstract | Presentation

A.V. Makarenko, The TQ-bifurcation in Discrete Dynamical Systems. General Properties. // The XIII International Conference "Stability and Oscillations of Nonlinear Control Systems" / Proceedings – Moscow, ICS RAS, 2016.
Abstract | Presentation

Preprints

A.V. Makarenko, Deep Learning Algorithms for Signal Recognition in Long Perimeter Monitoring Distributed Fiber Optic Sensors (Slightly extended preprint of paper accepted for IEEE MLSP 2016) // arXiv:1610.00279 [Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)], Submitted on 02 Oct 2016. URL: http://arxiv.org/abs/1610.00279.
Abstract | Full Text

A.V. Makarenko, The dynamics of publishing of posts and comments on Facebook (the Russian segment, the first five months of 2013) // arXiv:1604.07781 [Social and Information Networks (cs.SI)], Submitted on 26 Apr 2016. URL: http://arxiv.org/abs/1604.07781.
Abstract | Full Text

2015 year

Refereed Journals

A.V. Makarenko, Analysis of the time structure of synchronization in multidimensional chaotic systems // Journal of Experimental and Theoretical Physics, 2015, Vol. 120, Issue 5, pp. 912-921, DOI: 10.1134/S106377611504010X.
Abstract

Reports

A.V. Makarenko, Estimation of the TQ-complexity of chaotic sequences // The 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON 2015) / Proceedings – Saint Petersburg, IFAC, 2015.
Abstract | Full Text | Presentation

A.V. Makarenko, Generalized synchronization of multidimensional chaotic systems in terms of symbolic CTQ-analysis // The 8th Chaotic Modeling and Simulation International Conference / Book of Abstracts – Paris, ISAST, IHP, 2015, pp. 77-78.
Abstract | Presentation

Preprints

A.V. Makarenko, M.G. Volovik, Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data // arXiv:1512.07041 [Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)], Submitted on 22 Dec 2015. URL: http://arxiv.org/abs/1512.07041.
Abstract | Full Text

A.V. Generalized synchronization of multidimensional chaotic systems in terms of symbolic CTQ-analysis // arXiv:1507.03103 [Chaotic Dynamics (nlin.CD); Dynamical Systems (math.DS); Data Analysis, Statistics and Probability (physics.data-an)], Submitted on 11 Jul 2015. URL: http://arxiv.org/abs/1507.03103.
Abstract | Full Text

A.V. Makarenko, Estimation of the TQ-complexity of chaotic sequences (Paper 99 in Proceedings of the 1st IFAC Conference MICNON 2015) // arXiv:1506.09103 [Data Analysis, Statistics and Probability (physics.data-an); Dynamical Systems (math.DS)], Submitted on 27 Jun 2015. URL: http://arxiv.org/abs/1506.09103.
Abstract | Full Text

A.V. Makarenko, Analysis of the Time Structure of Synchronization in Multidimensional Chaotic Systems (Preprint version of article published in: (J. Exp. Theor. Phys., 2015, Vol. 120, No. 5, pp. 912-921) // arXiv:1505.04314 [nlin.CD], Submitted on 16 May 2015. URL: http://arxiv.org/abs/1505.04314.
Abstract | Full Text

2013 year

Reports

A.V. Makarenko, Estimation complexity of chaotic oscillations in aspect of the shape of their trajectories // XXV IUPAP Conference on Computational Physics / Book of Abstracts. – Moscow, Department of Physical Sciences of Russian Academy of Sciences, 2013, p.52
Thesis | Presentation (1.1 МБ)

A.V. Makarenko, Symbolic CTQ-analysis – a new method for studying of financial indicators // International Conference "Advanced Finance and Stochastics" / Book of Abstracts – Moscow, 24-28 June 2013, Steklov Mathematical Institute, pp. 63-64.
Thesis | Presentation

2012 year

Refereed Journals

A.V. Makarenko, Measure of synchronism of multidimensional chaotic sequences based on their symbolic representation in a T-alphabet // Technical Physics Letters, 2012, Vol. 38, Issue 9, pp. 804-808, DOI: 10.1134/S106378501209009X.
Abstract | Full Text

A.V. Makarenko, Multidimensional Dynamic Processes Studied by Symbolic Analysis in Velocity-Curvature Space // Computational Mathematics and Mathematical Physics, 2012, Vol. 52, Issue 7, pp. 1017-1028, DOI: 10.1134/S0965542512070081.
Abstract | Full Text

A.V. Makarenko, Structure of synchronized chaos studied by symbolic analysis in velocity-curvature space // Technical Physics Letters, 2012, Vol. 38, Issue 2, pp. 155-159, DOI: 10.1134/S1063785012020289.
Abstract | Full Text

Reports

A.V. Makarenko, The distance between the T-alphabet symbols and properties of discrete dynamical systems // International Conference "ANALYSIS and SINGULARITIES" / Abstracts.– Moscow, Steklov Mathematical Institute, 2012, pp. 79-79. [in Russian]
Presentation (1.0 MB)

A.V. Makarenko, The possibilities by symbolic analysis in velocity-curvature space: TQ-bifurcation, symmetry, synchronization // School-Seminar "Interaction of Mathematics and Physics: New Perspectives" / Proceedings. – Moscow, Steklov Mathematical Institute, 2012.
Abstract | Presentation (1.1 MB)

A.V. An approach to the symbolic description of dynamical processes defined on continuous time // International Conference on Differential Equations and Dynamical Systems (DIFF'2012, Suzdal, Vladimir region, Russia from June'29 to July'4, 2012) / Steklov Mathematical Institute of Russian Academy of Sciences.
Presentation

Preprints

A.V. Makarenko, Measure of Synchronism of Multidimensional Chaotic Sequences Based on Their Symbolic Representation in a T-Alphabet (Preprint version of article published in: Technical Physics Letters, 2012, Vol. 38, No. 9, pp. 804-808) // arXiv:1212.2724 [nlin.CD], Submitted on 12 Dec 2012. URL: http://arxiv.org/abs/1212.2724.
Abstract | Full Text

A.V. Makarenko, Structure of synchronized chaos studied by symbolic analysis in velocity-curvature space (An corrected version of article published in: Technical Physics Letters, 2012, Vol. 38, No. 2, pp. 155-159) // arXiv:1203.4214 [nlin.CD], Submitted on 19 Mar 2012. URL: http://arxiv.org/abs/1203.4214.
Abstract | Full Text

2011 year

Refereed Journals

A.V. Makarenko, Recursive tangential-angular operator as analyzer of synchronized chaos // Technical Physics Letters, 2011, Vol. 37, Issue 8, pp. 784-788, DOI: 10.1134/S1063785011080244.
Abstract | Full Text

Preprints

A.V. Makarenko, Recursive tangential-angular operator as analyzer of synchronized chaos (An expanded and corrected version of article published in: Technical Physics Letters, 2011, Vol. 37, No. 8, pp. 784-788) // arXiv:1108.5658 [nlin.CD], Submitted on 29 Aug 2011. URL: http://arxiv.org/abs/1108.5658.
Abstract | Full Text

Andrey V. Makarenko, Phenomenological Model for Growth of Volumes Digital Data // arXiv:1102.5500 [cs.CY], Submitted on 27 Feb 2011. URL: http://arxiv.org/abs/1102.5500.
Abstract | Full Text