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  1. 2020

  2. Hamiltonian path problem solution using DNA computing

    Sergeenko, A., Yakunina, M. & Granichin, O., 30 Jun 2020, In: Cybernetics and Physics. 9, 1, p. 69-74 6 p.

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

  3. Hamiltonian path problem: The performance comparison deoxyribonucleic acid computing and the branch-and-bound method

    Sergeenko, A. N., Granichin, O. N. & Yakunina, M. V., 21 May 2020, In: Journal of Physics: Conference Series. 1536, 1, 012003.

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

  4. Network Traffic Load Balancing Protocol

    Amelina, N., Chernov, A., Granichin, O., Ivanskiy, Y. & Len, I., May 2020, European Control Conference 2020, ECC 2020. Institute of Electrical and Electronics Engineers Inc., p. 906-910 5 p. 9143622. (European Control Conference 2020, ECC 2020).

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

  5. Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning

    Boiarov, A., Granichin, O. & Granichina, O., May 2020, European Control Conference 2020, ECC 2020. Institute of Electrical and Electronics Engineers Inc., p. 350-355 6 p. 9143831. (European Control Conference 2020, ECC 2020).

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

  6. Entropy-Based Approach for the Detection of Changes in Arabic Newspapers' Content

    Bernikova, O., Granichin, O., Lemberg, D., Redkin, O. & Volkovich, Z., Apr 2020, In: Entropy. 22, 4, 17 p., 441.

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

  7. Consensus-based distributed algorithm for multisensor-multitarget tracking under unknown-but-bounded disturbances

    Amelina, N., Erofeeva, V., Granichin, O., Ivanskiy, Y., Jiang, Y., Proskurnikov, A. & Sergeenko, A., 2020, In: IFAC-PapersOnLine. 53, p. 3589-3595 7 p.

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

  8. Invariance preserving control of clusters recognized in networks of kuramoto oscillators

    Granichin, O. & Uzhva, D., 2020, Artificial Intelligence : 18th Russian Conference, RCAI 2020, Proceedings. Kuznetsov, S. O., Panov, A. I. & Yakovlev, K. S. (eds.). Springer Nature, p. 472-486 15 p. (Lecture Notes in Computer Science ; vol. 12412 LNAI).

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

  9. Sparse Gaussian mixture model clustering via simultaneous perturbation stochastic approximation

    Boiarov, A. & Granichin, O., 2020, In: IFAC-PapersOnLine. 53, 2, p. 995-1000 6 p.

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

  10. ДНК-вычисления как способ решения задачи коммивояжера

    Сергеенко, А. Н. & Граничин, О. Н., 2020, Восемнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2020: Труды конференции. М.: Московский физико-технический институт, p. 137-144

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

  11. Круглый стол «Самоорганизация и искусственный интеллект в группе автономных роботов: методология, теория, практика».

    Граничин, О. Н., 2020, In: СТОХАСТИЧЕСКАЯ ОПТИМИЗАЦИЯ В ИНФОРМАТИКЕ. 16, 1, p. 5-12

    Research output: Contribution to journal › Article

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