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  1. (2, 3)-Generated Groups with Small Element Orders

    Yang, N. & Mamontov, A. S., Jul 2021, In: Algebra and Logic. 60, 3, p. 217-222 6 p.

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

  2. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  3. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

  4. 4-Scale model for macromolecule conversion over mesoporous and hierarchical alumina catalysts

    Parkhomchuk, E. V., Bazaikin, Y. V., Malkovich, E. G., Lysikov, A. I., Vorobieva, E. E., Fedotov, K. V. & Kleymenov, A. V., 1 Feb 2021, In: Chemical Engineering Journal. 405, 126551.

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

  5. 4th International Conference Groups and quandlcs in low-dimensional topology, Tomsk, July 5 - 8, 2021

    Abrosimov, N. V., Gorbounov, V. G., Nechaev, S. K., Singh, M. & Vesnin, A. Y., 2021, In: Siberian Electronic Mathematical Reports. 18, 2, p. 30-43 14 p.

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

  6. Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm

    Krivorotko, O., Sosnovskaia, M., Vashchenko, I., Kerr, C. & Lesnic, D., Mar 2022, In: Infectious Disease Modelling. 7, 1, p. 30-44 15 p.

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

  7. A Given Diameter MST on a Random Graph

    Gimadi, E. K., Shevyakov, A. S. & Shtepa, A. A., 2020, Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Olenev, N., Evtushenko, Y., Khachay, M. & Malkova, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 110-121 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12422 LNCS).

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

  8. A global random walk on grid algorithm for second order elliptic equations

    Sabelfeld, K. K. & Smirnov, D., 1 Sept 2021, In: Monte Carlo Methods and Applications. 27, 3, p. 211-225 15 p., 20212092.

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

  9. A Global Random Walk on Spheres algorithm for calculating the solution and its derivatives of the drift-diffusion-reaction equations

    Sabelfeld, K. & Kireeva, A., Feb 2022, In: Mathematical Methods in the Applied Sciences. 45, 3, p. 1420-1431 12 p.

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

  10. A historical note on the 3/2-approximation algorithm for the metric traveling salesman problem

    van Bevern, R. & Slugina, V. A., Nov 2020, In: Historia Mathematica. 53, p. 118-127 10 p.

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

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