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  1. Using maximum cross section method for filtering jump-diffusion random processes

    Averina, T. A. & Rybakov, K. A., 1 Apr 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 2, p. 55-67 13 p.

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

  2. 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

  3. Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education

    Tokareva, V., Kostunin, D., Plokhikh, I. & Sotnikov, V., 12 Jan 2022, In: Proceedings of Science. 410, 007.

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

  4. Using of Fractional Separation for the Analysis of MoO3 by Atomic Emission Spectrometry with Inductively Coupled Plasma and Electrothermal Vaporization

    Medvedev, N. S., Malitskii, A. V., Tsygankova, A. R. & Saprykin, A. I., 1 Jun 2018, In: Journal of Analytical Chemistry. 73, 6, p. 533-538 6 p.

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

  5. Using optimal control methods with constraints to generate singlet states in NMR

    Rodin, B. A., Kiryutin, A. S., Yurkovskaya, A. V., Ivanov, K. L., Yamamoto, S., Sato, K. & Takui, T., 1 Jun 2018, In: Journal of Magnetic Resonance. 291, p. 14-22 9 p.

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

  6. Using Partial Models to Extract Emotional Estimations from Natural Language Texts

    Akhmedov, E. Y. & Palchunov, D. E., 26 Nov 2024, 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., p. 282-287 6 p. (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).

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

  7. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 29 Jun 2023, p. 1740-1745. 6 p.

    Research output: Contribution to conference › Paper › peer-review

  8. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers Inc., p. 1740-1745 6 p.

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

  9. Using real options for the evaluation of venture projects

    Baranov, A. & Muzyko, E., 1 May 2016, In: Gadjah Mada International Journal of Business. 18, 2, p. 153-185 33 p.

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

  10. Using SAXS for Determining the Sizes of Gold Nanoparticles in Au/C Catalysts: Advantages over Other Methods

    Larichev, Y. V., Moroz, B. L., Pyrjaev, P. A. & Bukhtiyarov, V. I., Dec 2023, In: Kinetics and Catalysis. 64, 6, p. 882-894 13 p.

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

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