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  1. Laser line scanning of a shape of moving objects with various degree of transparency

    Mel'Nik, A. V., Seredkin, A. V., Tokarev, M. P. & Gobyzov, O. A., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012187.

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

  2. LES study of the precessing vortex core mitigation by radial injection in a Francis turbine air model

    Lutchenko, I. I., Palkin, E. V. & Mullyadzhanov, R. I., 14 Oct 2024, In: E3S Web of Conferences. 578, 6 p., 01018.

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

  3. Localized growth distribution on the abdominal aortic aneurysm surface using deep learning approaches

    Borisova, K., Fedotova, Y., Karpenko, A. & Mullyadzhanov, R., 4 Dec 2023, In: E3S Web of Conferences. 459, 5 p., 02006.

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

  4. Locus-specific methylation of gstp1, rnf219, and kiaa1539 genes with single molecule resolution in cell-free dna from healthy donors and prostate tumor patients: Application in diagnostics

    Bryzgunova, O., Bondar, A., Ruzankin, P., Laktionov, P., Tarasenko, A., Kurilshikov, A., Epifanov, R., Zaripov, M., Kabilov, M. & Laktionov, P., 1 Dec 2021, In: Cancers. 13, 24, 6234.

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

  5. Long-Term Effects of Spinal Cord Stimulation on Pain in Postherpetic Neuralgia

    Anisimov, E. D., Andrushkevich, O. M., Dzhafarov, V. M., Amelina, E. V., Rzaev, J. A. & Slavin, K. V., 2025, In: Stereotactic and Functional Neurosurgery. 103, 1, p. 35-41 7 p.

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

  6. Machine learning methods for development of data-driven turbulence models

    Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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

  7. Magnus Expansion for the Direct Scattering Transform: High-Order Schemes

    Mullyadzhanov, R. I. & Gelash, A. A., Feb 2021, In: Radiophysics and Quantum Electronics. 63, 9-10, p. 786-803 18 p.

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

  8. Manipulation of Strongly Interacting Solitons in Optical Fiber Experiments

    Mucci, A., Suret, P., Copie, F., Randoux, S., Mullyadzhanov, R. & Gelash, A., 15 May 2025, In: Physical Review Letters. 134, 19, p. 193804 1936804.

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

  9. Measurable Metrics of Mesenchymal Stem Cell Aging

    Kalashnikova, D. A., Romanov, S. E., Maksimov, D. A., Plokhikh, I. A., Epifanov, R. Y., Mullyadjanov, R. I., Sidelnikov, L. O., Antoshina, P. A., Osipov, Y. A., Shloma, V. V., Budilina, A. A., Samoylova, E. M., Baklaushev, V. P. & Laktionov, P. P., 2025, In: Sovremennye Tehnologii v Medicine. 17, 5, p. 5-30 26 p., 1.

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

  10. 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 journal › Article › peer-review

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