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  1. Neural network for calculating direct and inverse nonlinear Fourier transform

    Sedov, E. V., Чеховской, И. С. & Prilepsky, J. E., Dec 2021, In: Quantum Electronics. 51, 12, p. 1118-1121 4 p.

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

  2. Neural nerwork approach for plug flow analysis in microchannels

    Seredkin, A. V. & Yagodnitsyna, A. A., 2022, In: Interfacial Phenomena and Heat Transfer. 10, 1, p. 15-24 10 p.

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

  3. Negative Numberings in Admissible Sets. II

    Kalimullin, I. S., Puzarenko, V. G. & Faizrakhmanov, M. K., Mar 2024, In: Siberian Advances in Mathematics. 34, 1, p. 41-66 26 p., 2.

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

  4. Necessary Conditions for Existence of Solutions of a Certain Pseudohyperbolic System of Equations

    Bondar, L. N. & Mingnarov, S. B., Sept 2024, In: Siberian Advances in Mathematics. 34, 3, p. 187-195 9 p.

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

  5. Necessary condition for isomorphism of GBS(n,1) groups with non-trivial center

    Dudkin, F. A., 27 Nov 2025, In: Siberian Electronic Mathematical Reports. 22, 2, p. 1401-1407 7 p.

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

  6. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric

    Kalmutskiy, K., Cherikbayeva, L., Litvinenko, A. & Berikov, V., 2023, Communications in Computer and Information Science. Springer, p. 364-375 12 p. (Communications in Computer and Information Science; vol. 1881 CCIS).

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

  7. Multi-switches and virtual knot invariants

    Bardakov, V. & Nasybullov, T., 15 Apr 2021, In: Topology and its Applications. 293, 107552.

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

  8. Multi-normex distributions for the sum of random vectors. Rates of convergence

    Kratz, M. & Prokopenko, E., Sept 2023, In: Extremes. 26, 3, p. 509-544 36 p.

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

  9. Multi-Class Surface Generation of Complex Anatomical Structures Using Neural Networks

    Epifanov, R. U. I., Федотова, Я. В., Popov, D. R. & Мулляджанов, Р. И., Aug 2025, In: Doklady Mathematics. 112, 1, p. 332-341 10 p.

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

  10. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

    Letyagin, A., Golushko, S., Amelin, M., Tuchinov, B., Amelina, E., Tolstokulakov, N., Pavlovskiy, E. & Groza, V., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020: International symposium will take place in the frame of 12th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”. Institute of Electrical and Electronics Engineers Inc., p. 185-189 5 p. 9214645. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

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