1. 2024
  2. A programmable ultrasound-based system for reconstructing the three-dimensional structure of the superficial femoral artery

    Tarasov, K. O., Epifanov, R. U. I., Gostev, A. A., Lysikov, D. A., Karpenko, A. A. & Mullyadzhanov, R. I., 10 Sept 2024, In: Biomedical Engineering. 58, 3, p. 158-162 5 p.

    Research output: Contribution to journalArticlepeer-review

  3. The role of asymmetry and volume of thrombotic masses in the formation of local deformation of the aneurysmal-altered vascular wall: An in vivo study and mathematical modeling

    Tikhvinsky, D., Maus, M., Lipovka, A., Nikitin, N., Epifanov, R., Volkova, I., Mullyadzhanov, R., Chupakhin, A., Parshin, D. & Karpenko, A., Jun 2024, In: PLoS ONE. 19, 6 June, 19 p., e0301047.

    Research output: Contribution to journalArticlepeer-review

  4. Energy spectra of elemental groups of cosmic rays with the KASCADE experiment data and machine learning

    Kuznetsov, M. Y., Petrov, N., Plokhikh, I. & Sotnikov, V., 1 May 2024, In: Journal of Cosmology and Astroparticle Physics. 2024, 5, 125.

    Research output: Contribution to journalArticlepeer-review

  5. Система распознавания речевых команд в клиент-серверной архитектуре на базе глубоких нейросетей с возможностью быстрой (без обучения) адаптации под специализированные словари команд

    Бондаренко, И., Мартиросян, С. А., Гребенкин, Д. В., Кондрашук, В. В., Болдинов, А. К. & Паульс, А. Е., 5 Feb 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2024612715, 22 Jan 2024, Priority date 22 Jan 2024, Priority No. 2024610873

    Research output: PatentSoftware registration

  6. Effect of wall heating on the characteristics of near-wall reverse flow events occurring in a turbulent duct

    Chuprov, I. V., Ivashchenko, V. A., Mullyadzhanov, R. I. & Zaripov, D. I., Feb 2024, In: Journal of Applied Mechanics and Technical Physics. 65, 1, p. 112-120 9 p.

    Research output: Contribution to journalArticlepeer-review

  7. Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

    Kuznetsov, M. Y., Petrov, N. A., Plokhikh, I. A. & Sotnikov, V. V., 1 Jan 2024, In: Journal of Instrumentation. 19, 1, P01025.

    Research output: Contribution to journalArticlepeer-review

  8. Swirling flow of two immiscible fluids in a cylindrical container: Lattice Boltzmann and volume-of-fluid study

    Salnikov, M. V., Vozhakov, I. S., Naumov, I. V. & Mullyadzhanov, R. I., 1 Jan 2024, In: Physics of Fluids. 36, 1, 013601.

    Research output: Contribution to journalArticlepeer-review

  9. Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

    Li, H., Yakovenko, S., Ivashchenko, V., Lukyanov, A., Mullyadzhanov, R. & Tokarev, M., 2024, In: Physics of Fluids. 36, 2

    Research output: Contribution to journalArticlepeer-review

  10. Determining blood platelet morphology modelled by a superellipsoid from the solution of the inverse light-scattering problem

    Litvinenko, A. L., Nekrasov, V. M., Gilev, K. V., Alexandrov, E. A., Strokotov, D. I., Maltsev, V. P., Karpenko, A. A. & Yastrebova, E. S., 2024, In: Optics and Laser Technology. 176, 8 p., 110881.

    Research output: Contribution to journalArticlepeer-review

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