1. 2021
  2. Recognition of Tomographic Images in the Diagnosis of Stroke

    Kalmutskiy, K., Tulupov, A. & Berikov, V., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 166-171 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12665 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Remarks on invariance principle for one-parametric recursive residuals

    Sakhanenko, A. I., Kovalevskii, A. P. & Shelepova, A. D., 2021, In: Siberian Electronic Mathematical Reports. 18, 2, p. 1058-1074 17 p., 40.

    Research output: Contribution to journalArticlepeer-review

  4. Stochastic models of joint non-stationary time-series of air temperature, relative humidity and atmospheric pressure

    Kargapolova, N. A., Khlebnikova, E. I. & Ogorodnikov, V. A., 2021, In: Communications in Statistics: Simulation and Computation. 50, 12, p. 3972-3983 12 p.

    Research output: Contribution to journalArticlepeer-review

  5. Study of the double poling kinematics of elite cross-country skiers

    Kubyak, A. E. & Parshin, D. V., 2021, In: Russian Journal of Biomechanics. 25, 3, p. 243-256 14 p., 5.

    Research output: Contribution to journalArticlepeer-review

  6. The seventh International Olympiad in Cryptography: problems and solutions

    Gorodilova, A. A., Tokareva, N. N., Agievich, S. V., Carlet, C., Idrisova, V. A., Kalgin, K. V., Kolegov, D. N., Kutsenko, A. V., Mouha, N., Pudovkina, M. A. & Udovenko, A. N., 2021, In: Siberian Electronic Mathematical Reports. 18, 2, p. 4-29 26 p., 26.

    Research output: Contribution to journalArticlepeer-review

  7. The splitting algorithm in finite volume method for numericai solving of Navier-Stokes equations of viscous incompressible fluids

    Kovenya, V. M. & Tarraf, D., 2021, In: Journal of Siberian Federal University - Mathematics and Physics. 14, 4, p. 519-527 9 p., 14.

    Research output: Contribution to journalArticlepeer-review

  8. Time Series Prediction by Reservoir Neural Networks

    Tarkov, M. S. & Chernov, I. A., 2021, Advances in Neural Computation, Machine Learning, and Cognitive Research IV - Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V. & Tiumentsev, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 303-308 6 p. (Studies in Computational Intelligence; vol. 925 SCI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Two-machine routing open shop on a tree: instance reduction and efficiently solvable subclass

    Chernykh, I. D. & Lgotina, E. V., 2021, In: Optimization Methods and Software. 36, 4, p. 821-841 21 p.

    Research output: Contribution to journalArticlepeer-review

  10. Uncertainty-function-based continuation framework in data assimilation algorithms for atmospheric chemistry models

    Penenko, A. V., Konopleva, V. S., Golenko, P. M. & Penenko, V. V., 2021, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). SPIE, 119168O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11916).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  11. Using mixed reality technologies to explore the exhibits of the Kuzbass Botanical Garden

    Molorodov, Y. I. & Chernyavtsev, E. D., 2021, In: CEUR Workshop Proceedings. 3006, p. 203-211 9 p.

    Research output: Contribution to journalConference articlepeer-review

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