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  1. 2017

  2. Modelling graph dynamics of flaring active regions using SDO/HMI data

    Lukyanov, A. D. & Knyazeva, I. S., 7 Mar 2017, In: Journal of Physics: Conference Series. 798, 1, 012181.

    Research output: Contribution to journal › Article › peer-review

  3. Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting

    Knyazeva, I., Urtiev, F. & Makarenko, N., 2017, In: Proceedings of the International Astronomical Union. 13, S335, p. 291-293 3 p.

    Research output: Contribution to journal › Article › peer-review

  4. 2016

  5. Evolution of the Bochner Laplacian for magnetograms of solar active regions

    Volobuev, D. M. & Knyazeva, I. S., 1 Dec 2016, In: Geomagnetism and Aeronomy. 56, 7, p. 886-891 6 p.

    Research output: Contribution to journal › Article › peer-review

  6. Topological diagnostics of the cyclic component of the time series associated with helium

    Knyazeva, I. S., Nagovitsyn, Y. A. & Urt’ev, F. A., 1 Dec 2016, In: Geomagnetism and Aeronomy. 56, 7, p. 853-857 5 p.

    Research output: Contribution to journal › Article › peer-review

  7. Analysis of the Solar magnetograms evolution using a spectral gap of critical nets

    Knyazeva, I. S., Makarenko, N. G., Makarenko, I., Vdovina, A. & Urtiev, F. A., 2016, 5TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES (IC-MSQUARE 2016). Vagenas, EC. & Vlachos, DS. (eds.). IOP Publishing Ltd., 7 p. (Journal of Physics Conference Series; vol. 738).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Dynamic clustering of connections between fMRI resting state networks: A comparison of two methods of data analysis

    Zavyalova, V., Knyazeva, I., Ushakov, V., Poyda, A., Makarenko, N., Malakhov, D. & Velichkovsky, B., 2016, Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. Springer Nature, Vol. 449. p. 265-271 7 p. (Advances in Intelligent Systems and Computing; vol. 449).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Generalized Laplacian for magnetograms of solar active region as possible predictor of strong flare

    Volobuev, D. M. & Knyazeva, I. S., 2016, In: Journal of Physics: Conference Series. 675, 3, 032027.

    Research output: Contribution to journal › Article › peer-review

  10. On alternative instruments for the fMRI data analysis: General linear model versus algebraic topology approach

    Knyazeva, I., Orlov, V., Ushakov, V., Makarenko, N. & Velichkovsky, B., 2016, Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. Springer Nature, Vol. 449. p. 107-113 7 p. (Advances in Intelligent Systems and Computing; vol. 449).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  11. 2015

  12. Comparison of the Dynamics of Active Regions by Methods of Computational Topology

    Knyazeva, I. S., Makarenko, N. G. & Urtiev, F. A., 2015, In: GEOMAGNETIZM I AERONOMIYA. 55, 8, p. 1134-1140

    Research output: Contribution to journal › Article

  13. Texture recognition in digital images by computational topology methods

    Urtiev, F., Knyazeva, I. S., Malkova, D. B., Park, I. T. & Karimova, L. M., 2015, In: Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa. 12, 1, p. 131-144 14 p.

    Research output: Contribution to journal › Article › peer-review

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