1. Computing continuous nonlinear Fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prylepskiy, J., Chekhovskoy, I. & Turitsyn, S., 2021, Applications of Machine Learning 2021. Zelinski, M. E., Taha, T. M. & Howe, J. (eds.). The International Society for Optical Engineering, 118430J. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11843).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  2. Computing continuous nonlinear fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prilepsky, J., Chekhovskoy, I. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. EJ-1.4. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021; vol. 2021-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Computing continuous nonlinear fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prilepsky, J., Chekhovskoy, I. & Turitsyn, S., 2021, European Quantum Electronics Conference, EQEC 2021. The Optical Society, ej_1_4. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  4. Comprehensive research of human brain hemodynamics: Clinical monitoring and computer simulations

    Mamatyukov, M., Mikheev, I., Parshin, D., Khe, A., Cherevko, A., Orlov, K. & Chupakhin, A., 2 Nov 2018, 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. Fomin (ed.). American Institute of Physics Inc., Vol. 2027. 5 p. 020009. (AIP Conference Proceedings; vol. 2027).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  5. Complex Fully Connected Neural Networks for Nonlinearity Compensation in Long-Haul Transmission Systems

    Bogdanov, S. & Sidelnikov, O., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021; vol. 2021-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  6. Complex fully connected neural networks for nonlinearity compensation in long-haul transmission systems

    Bogdanov, S. & Sidelnikov, O., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_p_7. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Compensation of Nonlinear Impairments Using Inverse Perturbation Theory with Reduced Complexity

    Redyuk, A., Averyanov, E., Sidelnikov, O., Fedoruk, M. & Turitsyn, S., 15 Mar 2020, In: Journal of Lightwave Technology. 38, 6, p. 1250-1257 8 p., 8984221.

    Research output: Contribution to journalArticlepeer-review

  8. Comparison of quantum CPT and EPR magnetometers

    Radnatarov, D., Andryushkov, V. & Kobtsev, S., 21 Aug 2020, Novel Optical Systems, Methods, and Applications XXIII. Hahlweg, C. F. & Mulley, J. R. (eds.). The International Society for Optical Engineering, p. 25 6 p. 114830S. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11483).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Comparative Study of Acoustic Parameter Reconstruction by using Optimal Control Method and Inverse Scattering Approach

    Shishlenin, M. A., Izzatulah, M. & Novikov, N. S., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012004.

    Research output: Contribution to journalConference articlepeer-review

  10. Comparative Analysis of Gradient Methods for Source Identification in a Diffusion-Logistic Model

    Zvonareva, T. A. & Krivorot’ko, O. I., Apr 2022, In: Computational Mathematics and Mathematical Physics. 62, 4, p. 674-684 11 p.

    Research output: Contribution to journalArticlepeer-review

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