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  1. Development of lexico-syntactic ontology design patterns for information extraction of scientific data

    Ovchinnikova, K., Kononenko, I. & Sidorova, E., 2021, In: CEUR Workshop Proceedings. 3036, p. 349-361 13 p.

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

  2. Development of machine learning techniques to enhance turbulence models

    Razizadeh, O. & Yakovenko, S. N., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012012.

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

  3. Development of Software Application for Chronic Wound Assesement

    Nimaev, V., Sinyavskiy, Y., Shugalevskaya, N., Gusev, A., Rylov, S. & Pestunov, I., 2022, Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc., p. 50-53 4 p. (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).

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

  4. Development of Software Tools Based on Clinical Data and Phantom Studies for Mathematical Simulation Modeling to Assess Brain Perfusion and Improve Image Quality During SPECT/CT with99mTc-GMPAO

    Denisova, N. V., Nesterova, A. V., Minin, S. M., Anashbayev, Z. Z., Krasilnikov, S. E. & Ussov, W. Y., 2023, In: Medical Radiology and Radiation Safety. 68, 6, p. 106-117 12 p.

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

  5. Development of the "polar map" method in nuclear cardiology

    Kolinko, I. P. & Denisova, N. V., 24 May 2021, International Conference on the Methods of Aerophysical Research, ICMAR 2020. Fomin, V. M. & Shiplyuk, A. (eds.). American Institute of Physics Inc., 040015. (AIP Conference Proceedings; vol. 2351).

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

  6. Development of water flood model for oil production enhancement

    Tsvaki, J. J., Tailakov, D. O. & Pavlovskiy, E. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. 9303200. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  7. Development of Folklore Motif Classifier Using Limited Data

    Matveeva, M. & Malykh, V., 2022, Communications in Computer and Information Science. Springer, p. 40-48 9 p. (Communications in Computer and Information Science; vol. 1731 CCIS).

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

  8. Deviations of Fejer Sums and Rates of Convergence in the von Neumann Ergodic Theorem

    Kachurovskii, A. G. & Knizhov, K. I., 1 May 2018, In: Doklady Mathematics. 97, 3, p. 211-214 4 p.

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

  9. Differentiation of Similar Matrices

    Vasyutkin, S. A. & Chupakhin, A. P., Jan 2021, In: Mathematical Notes. 109, 1-2, p. 302-306 5 p.

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

  10. Different variants of R13 moment equations applied to the shock-wave structure

    Timokhin, M. Y., Struchtrup, H., Kokhanchik, A. A. & Bondar, Y. A., 1 Mar 2017, In: Physics of Fluids. 29, 3, 11 p., 037105.

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

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