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  1. 2021

  2. Observation stability and convergence for neural-type evolutionary variational inequalities

    Reitmann, S., Jung, B., Kudryashova, E. V. & Reitmann, V., 2021, In: Differencialnie Uravnenia i Protsesy Upravlenia. 2021, 2, p. 126-155 30 p.

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

  3. ON SYNCHRONIZATION PHENOMENA IN HYPERCHAOTIC COMPLEX-VALUED DYNAMICAL SYSTEMS

    Shoreh, AA-H., Kuznetsov, N. V. & Mokaev, T. N., 2021, p. 623-624. 2 p.

    Research output: Contribution to conference › Paper

  4. On the Computational Complexity of Deep Learning Algorithms

    Baskakov, D. & Arseniev, D., 2021, Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019. Voinov, N., Schreck, T. & Khan, S. (eds.). Springer Nature, p. 343-356 14 p. (Smart Innovation, Systems and Technologies; vol. 220).

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

  5. Pilot-Induced Oscillations Prevention During Aircraft Flight in Formation

    Zaitceva, I. & Andrievsky, B., 2021, 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). Institute of Electrical and Electronics Engineers Inc., (2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA)).

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

  6. Quadratic Lyapunov functionals and geometry of inertial manifolds

    Аникушин, М. М., 2021.

    Research output: Contribution to conference › Abstract › peer-review

  7. Secure Machine Intelligence and Distributed Ledger

    Arseniev, D., Baskakov, D. & Shkodyrev, V., 2021, Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part III. Gervasi, O., Murgante, B., Misra, S., Garau, C., Blecic, Taniar, D., Apduhan, BO., Rocha, AMAC., Tarantino, E. & Torre, CM. (eds.). Cham: Springer Nature, p. 227-239 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12951 LNCS).

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

  8. ИСПОЛЬЗОВАНИЕ ИМПУЛЬСНЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ КЛАССИФИКАЦИИ ОБЪЕКТОВ В ОБЛАКАХ ТОЧЕК, ПОЛУЧЕННЫХ С ПОМОЩЬЮ СЕНСОРОВ ГЛУБИНЫ

    Райтманн, С., Юнг, Б., Кудряшова, Е. В. & Райтманн, Ф., 2021, p. 430-431. 2 p.

    Research output: Contribution to conference › Paper

  9. Крутильно-изгибный флаттер крыла: математические модели, исследование и предотвращение. Обзор

    Andrievsky, B., Kuznetsov, N. V., Kudryashova, E. V. & Kuznetsova, O. A., 2021, In: Differencialnie Uravnenia i Protsesy Upravlenia. 2021, 4, p. 116-191 76 p.

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

  10. О ПРОБЛЕМЕ СИНХРОНИЗАЦИИ ГИПЕРХАОТИЧЕСКИХ КОМПЛЕКСНО-ЗНАЧНЫХ ДИНАМИЧЕСКИХ СИСТЕМ

    Шерих, А. А. -Х., Кузнецов, Н. В. & Мокаев, Т. Н., 2021, p. 603-604. 2 p.

    Research output: Contribution to conference › Paper

  11. Почти автоморфная динамика в почти периодических коциклах с одномерным инерциальным многообразием

    Anikushin, M., 2021, In: Differencialnie Uravnenia i Protsesy Upravlenia. 2021, 2, p. 13-48 36 p.

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

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