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  1. Machine learning based characterisation of dissipative solitons

    Kokhanovskiy, A., Bednyakova, A., Kuprikov, E., Ivanenko, A. & Turitsyn, S., 1 Jan 2019, The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA Publishing, 2019-cj_2_6. (Optics InfoBase Conference Papers; vol. Part F140-CLEO_Europe 2019).

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

  2. Machine Learning Based Characterisation of Dissipative Solitons

    Кохановский, А. Ю., Беднякова, А. Е., Куприков, Е. А., Иваненко, А. В. & Турицын, С. К., 17 Oct 2019, 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc., 1 p. 8873378. (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019).

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

  3. Machine learning-based pulse characterization in figure-eight mode-locked lasers

    Kokhanovskiy, A., Bednyakova, A., Kuprikov, E., Ivanenko, A., Dyatlov, M., Lotkov, D., Kobtsev, S. & Turitsyn, S., 1 Jul 2019, In: Optics Letters. 44, 13, p. 3410-3413 4 p.

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

  4. Machine learning for studying mineral-component composition of the Bazhenov Formation based on well-logging and core data

    Temnikova, E. Y., Grubas, S. I. & Glinskikh, V. N., Dec 2021, In: Neftyanoe khozyaystvo - Oil Industry. 12, p. 88-91 4 p., 17.

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

  5. Machine Learning Methods for Compensating Signal Distortions in Fiber-Optic Communication Lines

    Sidelnikov, O. S., Redyuk, A. A. & Fedoruk, M. P., Feb 2024, In: Optoelectronics, Instrumentation and Data Processing. 60, 1, p. 1-10 10 p.

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

  6. Machine Learning Methods for Control of Fibre Lasers with Double Gain Nonlinear Loop Mirror

    Kokhanovskiy, A., Ivanenko, A., Kobtsev, S., Smirnov, S. & Turitsyn, S., 27 Feb 2019, In: Scientific Reports. 9, 1, p. 2916 7 p., 2916.

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

  7. 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

  8. Macro- and micromorphology of Carex pauciflora-type fossils (Cyperaceae) from Europe and Siberia reveals unexpected affinity to Carex sect. Cyperoideae

    Martinetto, E., Jiménez-Mejías, P., Hakobyan, E., Krivonogov, S. & Hvalj, A. V., Aug 2024, In: Plant Systematics and Evolution. 310, 4, 35 p., 20.

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

  9. Macroeconomic evaluation of an impact that a production increase project of a large oil company may have on development of the Russian economy

    Kryukov, V. A., Baranov, A. O. & Pavlov, V. N., 2020, In: Georesursy. 2020, Special Issue, p. 19-27 9 p.

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

  10. Macroeconomic model of the scientific-technological progress

    Suslov, V., Baranov, A. & Lavrovsky, B., 14 Nov 2017, Proceedings of 2017 10th International Conference Management of Large-Scale System Development, MLSD 2017. Tsvirkun, A. (ed.). Institute of Electrical and Electronics Engineers Inc., 4 p. 8109692. (Proceedings of 2017 10th International Conference Management of Large-Scale System Development, MLSD 2017).

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

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