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  1. Modified upwind and hybrid schemes on special grids for solving layered problems

    Paasonen, V. I. & Liseikin, V. D., 2024, In: Journal of Computational Technologies. 29, 3, p. 70-80 11 p.

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

  2. Monodisperse gas-solid mixtures with intense interphase interaction in two-fluid smoothed particle hydrodynamics

    Stoyanovskaya, O. P., Glushko, T. A., Snytnikov, V. N. & Snytnikov, N. V., 2019, 6th International Conference on Particle-Based Methods. Fundamentals and Applications, PARTICLES 2019. Onate, E., Wriggers, P., Zohdi, T., Bischoff, M. & Owen, D. R. J. (eds.). International Center for Numerical Methods in Engineering, p. 754-762 9 p. (6th International Conference on Particle-Based Methods. Fundamentals and Applications, PARTICLES 2019).

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

  3. Motion of a viscous fluid and a wall in the presence of a stationary wall

    Sennitskii, V. L., 1 Mar 2016, In: Journal of Applied Mechanics and Technical Physics. 57, 2, p. 258-263 6 p.

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

  4. Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

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

  5. 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

  6. Multi-fluid dynamical model of isothermal gas and buoyant dispersed particles: Monodisperse mixture, reference solution of DustyWave problem as test for CFD-solvers, effective sound speed for high and low mutual drag

    Stoyanovskaya, O. P., Grigoryev, V. V., Savvateeva, T. A., Arendarenko, M. S., Isaenko, E. A. & Markelova, T. V., Apr 2022, In: International Journal of Multiphase Flow. 149, 103935.

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

  7. Multi-Functional Mine Shaft Alarm System

    Golushko, S. K., Cheido, G. P., Shakirov, R. A., Shakirov, S. R. & Shevchenko, D. O., 1 Jan 2018, In: Journal of Mining Science. 54, 1, p. 173-179 7 p.

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

  8. Multi-objective shape optimization of a hydraulic turbine runner using efficiency, strength and weight criteria

    Chirkov, D. V., Ankudinova, A. S., Kryukov, A. E., Cherny, S. G. & Skorospelov, V. A., Aug 2018, In: Structural and Multidisciplinary Optimization. 58, 2, p. 627-640 14 p.

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

  9. Multi-objective shape optimization of Francis runner using metamodel assisted genetic algorithm

    Chirkov, D., Filatova, A. & Polokhin, S., 15 Jun 2021, In: IOP Conference Series: Earth and Environmental Science. 774, 1, 012109.

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

  10. Named Entity Extraction from Semi-structured Data Using Machine Learning Algorithms

    Mansurova, M., Barakhnin, V., Khibatkhanuly, Y. & Pastushkov, I., 1 Jan 2019, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N. T., Chbeir, R., Exposito, E., Aniorté, P., Trawinski, B. & Nguyen, N. T. (eds.). Springer-Verlag GmbH and Co. KG, p. 58-69 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11684 LNAI).

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

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