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  1. 2023

  2. Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt

    Kleeorin, N., Kuzanyan, K., Rogachevskii, I. & Safiullin, N., 15 Dec 2023, Helicities in Geophysics, Astrophysics, and Beyond: book. John Wiley & Sons Inc., p. 217-240 24 p. (Helicities in Geophysics, Astrophysics, and Beyond).

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

  3. Equivalent Bandwidth of Modes Obtained by EMD from White Gaussian Noise

    Safiullin, N., 15 May 2023, Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc., p. 210-213 4 p.

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

  4. Magnetic fields of low-mass main sequences stars: non-linear dynamo theory and mean-field numerical simulations

    Kleeorin, N., Rogachevskii, I., Safiullin, N., Gershberg, R. & Porshnev, S., 2023, In: Monthly Notices of the Royal Astronomical Society. 526, 2, p. 1601-1612 12 p.

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

  5. АЛГОРИТМИЧЕСКОЕ И ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ МЕТОДИКИ ИНТЕГРАЦИИ ФОРМАЛЬНЫХ МЕТОДОВ ПРОГНОЗИРОВАНИЯ ВРЕМЕННЫХ РЯДОВ И МЕТОДА АССИМИЛЯЦИИ ДАННЫХ: монография

    Тимошенкова, Ю. С., Поршнев, С. В., Сафиуллин, Н. Т., Авдеенко, Т. В. & Никульчев, Е. В., 2023, Москва: Научно-техническое издательство "Горячая линия-Телеком". 180 p.

    Research output: Book/Report › Book › peer-review

  6. 2022

  7. Method of Integration of Formal Forecasting Methods into Data Assimilation on the Example of Autoregressive Time Series

    Timoshenkova, Y., Porshnev, S. & Safiullin, N., 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 224-227 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

  8. The study on usage of table functions instead of basic operators inside encryption algorithm

    Fadhil, F. A., Ali, M. L. & Safiullin, N., 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 320-323 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

  9. МЕТОДИКА ИНТЕГРАЦИИ ФОРМАЛЬНЫХ МЕТОДОВ ПРОГНОЗИРОВАНИЯ ВРЕМЕННЫХ РЯДОВ В DATA ASSIMILATION

    Тимошенкова, Ю. С., Поршнев, С. В. & Сафиуллин, Н. Т., 2022, In: International Journal of Open Information Technologies. 10, 4, p. 15-23 9 p.

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

  10. 2021

  11. About Influence of Weight Initialization Algorithms on Accuracy of the Forecast with LSTM-net for Harmonic Signals

    Timoshenkova, Y., Safiullin, N. & Porshnev, S., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 330-333 4 p. 9455014. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

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

  12. 2020

  13. The mean tilt of sunspot bipolar regions: theory, simulations and comparison with observations

    Kleeorin, N., Safiullin, N., Kuzanyan, K., Rogachevskii, I., Tlatov, A. & Porshnev, S., Jun 2020, In: Monthly Notices of the Royal Astronomical Society. 495, 1, p. 238-248 11 p.

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

  14. The Dependence of the Sunspot Forecast Accuracy Using LSTM Networks from Number of Cycles in the Training Set

    Timoshenkova, Y. & Safiullin, N., May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 452-455 4 p. 9117641. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

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

  15. 2019

  16. Application of data assimilation methods based on Kalman ensemble filters for the Lorenz attractor

    Timoshenkova, Y. S., Porshnev, S. V. & Safiullin, N. T., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 390017. (AIP Conference Proceedings; vol. 2116).

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

  17. Large-Scale Properties of the Tilt of Sunspot Groups and Joy’s Law Near the Solar Equator

    Kuzanyan, K. M., Safiullin, N., Kleeorin, N., Rogachevskii, I. & Porshnev, S., 15 Jun 2019, In: Astrophysics. 62, 2, p. 261-275 15 p.

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

  18. Improvement of the Ensemble Empirical Mode Decomposition with Parallel Computing

    Safiullin, N., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Dolganov, AY. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 256-259 4 p. 8736651. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

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

  19. The Required Number of Sunspot Cycles in the Training Set for a Better Accuracy of the Forecast with Artificial Neural Network

    Timoshenkova, Y. & Safiullin, N., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Dolganov, AY. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 248-251 4 p. 8736555. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

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

  20. 2018

  21. On the Possibility of the Forecast Correction Lorenz Systeme Use Particle Filter

    Yulia, S. T., Nikalay, T. S., Sergey, V. P. & Olga, A. P., Oct 2018, Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018. Institute of Electrical and Electronics Engineers Inc., p. 27-30 4 p. 8955771. (Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018).

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

  22. On the possibility of correction of the forecasting of the Lorenz attractor dynamic characteristics using experimental data and data assimilation

    Timoshenkova, Y., Safiullin, N. & Porshnev, S., 26 Jul 2018, In: Journal of Physics: Conference Series. 1053, 1, 012004.

    Research output: Contribution to journal › Conference article › peer-review

  23. Monthly sunspot numbers forecast with artificial neural network combined with dynamo model: Comparison with modern methods

    Safiullin, N., Porshnev, S. & Kleeorin, N., 13 Jun 2018, Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 199-202 4 p.

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

  24. Nonlinear mean-field dynamo and prediction of solar activity

    Safiullin, N., Kleeorin, N., Porshnev, S., Rogachevskii, I. & Ruzmaikin, A., 1 Jun 2018, In: Journal of Plasma Physics. 84, 3, 16 p., 735840306.

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

  25. Application of data assimilation algorithms based on Kalman ensemble filters for the lorenz attractor

    Timoshenkova, Y. S., Safiullin, N. T. & Porshnev, S. V., 1 Jan 2018, In: CEUR Workshop Proceedings. 2274, p. 82-87 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  26. ВОЗМОЖНОСТЬ РАЗРАБОТКИ НАУЧНО ОБОСНОВАННЫХ ТЕХНОЛОГИЙ МОНИТОРИНГА И ПРОГНОЗИРОВАНИЯ ТЕХНОГЕННЫХ И КЛИМАТИЧЕСКИХ УГРОЗ, ОБУСЛОВЛЕННЫХ ГЕЛИО-ГЕОФИЗИЧЕСКИМИ ЯВЛЕНИЯМИ

    Сафиуллин, Н. Т. & Поршнев, С. В., 2018, In: Каротажник. 11 (293), p. 100-107

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

  27. О ВОЗМОЖНОСТИ ИСПОЛЬЗОВАНИЯ АЛГОРИТМА ЭМПИРИЧЕСКОЙ МОДОВОЙ ДЕКОМПОЗИЦИИ ДЛЯ ИДЕНТИФИКАЦИИ АВТОРА РЕЧЕВОГО СИГНАЛА

    Дресвянин, П. Д., Сафиуллин, Н. Т. & Поршнев, С. В., 2018, In: Вестник УрФО. Безопасность в информационной сфере. 1(27), p. 34-41 8 p.

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

  28. О ВОЗМОЖНОСТИ КОРРЕКЦИИ ПРОГНОЗА С ПОМОЩЬЮ DATA ASSIMILATION: статья в сборнике статей

    Тимошенкова, Ю. С. & Сафиуллин, Н. Т., 2018, АКТУАЛЬНЫЕ ПРОБЛЕМЫ РАЗВИТИЯ ТЕХНИЧЕСКИХ НАУК: сборник статей. Тарасова, Ю. О. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 120-125

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  29. 2017

  30. Forecast of Monthly Sunspot Numbers using Nonlinear Dynamo Model with Neural Networks

    Safiullin, N., Porshnev, S. & Kleeorin, N., 22 Dec 2017, 2017 XI INTERNATIONAL IEEE SCIENTIFIC AND TECHNICAL CONFERENCE DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS). IEEE Computer Society, Vol. 2017-November. p. 1-4 4 p. (Dynamics of Systems Mechanisms and Machines).

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

  31. On the Possibility of the Forecast Correction for Inaccurate Observations Based on Data Assimilation

    Timoshenkova, Y. & Safiullin, N., 22 Dec 2017, 2017 XI INTERNATIONAL IEEE SCIENTIFIC AND TECHNICAL CONFERENCE DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS). IEEE Computer Society, Vol. 2017-November. p. 1-4 4 p. (Dynamics of Systems Mechanisms and Machines).

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

  32. Data analysis of sunspot time series with SSA and HHT information adaptive methods

    Safiullin, N. T., Porshnev, S. V. & Kleeorin, N. I., 1 Jan 2017, In: CEUR Workshop Proceedings. 2005, p. 110-119 10 p.

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

  33. The evaluation of a new model of sun activity with data assimilation technique

    Safiullin, N. T. & Porshnev, S. V., 2017, 2016 Dynamics of Systems, Mechanisms and Machines, Dynamics 2016. Institute of Electrical and Electronics Engineers Inc., 7819076

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

  34. О ВОЗМОЖНОСТИ КОРРЕКЦИИ ПРОГНОЗА ПО НЕТОЧНЫМ НАБЛЮДЕНИЯМ НА ОСНОВЕ DATA ASSIMILATION: статья в сборнике статей

    Тимошенкова, Ю. С. & Сафиуллин, Н. Т., 2017, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, ТЕЛЕКОММУНИКАЦИИ И СИСТЕМЫ УПРАВЛЕНИЯ: сборник статей. Круглов, А. В. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 116-128

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  35. 2016

  36. The dynamics of Wolf numbers based on nonlinear dynamos with magnetic helicity: Comparisons with observations

    Kleeorin, Y., Safiullin, N., Kleeorin, N., Porshnev, S., Rogachevskii, I. & Sokoloff, D., 21 Aug 2016, In: Monthly Notices of the Royal Astronomical Society. 460, 4, p. 3960-3967 8 p.

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

  37. 2012

  38. АНАЛИЗ ХАРАКТЕРИСТИК КОМПОНЕНТОВ, ПОЛУЧАЕМЫХ С ПОМОЩЬЮ ПРЕОБРАЗОВАНИЯ ХУАНГА–ГИЛЬБЕРТА, НА ПРИМЕРЕ МОДЕЛЬНЫХ СИГНАЛОВ

    Сафиуллин, Н. Т. & Поршнев, С. В., 2012, In: Известия высших учебных заведений России. Радиоэлектроника. 7, p. 9-20

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

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