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  1. 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 proceeding › Conference contribution › Research › peer-review

  2. Uncertainty quantification and stochastic polynomial chaos expansion for recovering random data in Darcy and Diffusion equations

    Shalimova, I. A., Sabelfeld, K. K. & Dulzon, O. V., 1 Dec 2017, In: Journal of Inverse and Ill-Posed Problems. 25, 6, p. 733-745 13 p.

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

  3. Uniform Convergence on Subspaces in the von Neumann Ergodic Theorem with Discrete Time

    Kachurovskii, A. G., Podvigin, I. V. & Khakimbaev, A. Z., Jun 2023, In: Mathematical Notes. 113, 5-6, p. 680-693 14 p.

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

  4. Universal enveloping commutative rota–baxter algebras of pre-and post-commutative algebras

    Gubarev, V., 2017, In: Axioms. 6, 4, 33.

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

  5. Universal modification of vector weighted method of dependent trials

    Medvedev, I. N., 2022, In: Communications in Statistics: Simulation and Computation. 51, 2, p. 518-526 9 p.

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

  6. Unoriented Khovanov Homology

    Baldridge, S., Kauffman, L. H. & McCarty, B., 2022, In: New York Journal of Mathematics. 28, p. 367-401 35 p., 14.

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

  7. Using agents in parallel simulation and optimization

    Tkachev, K., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 161-163 3 p. 8109861

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

  8. Using Computer Vision and Deep Learning for Nanoparticle Recognition on Scanning Probe Microscopy Images: Modified U-net Approach

    Liz, M. F., Nartova, A. V., Matveev, A. V. & Okunev, A. G., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 13-16 4 p. 9303184. (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

  9. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (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

  10. 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 journal › Conference article › peer-review

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