11 - 20 out of 32Page size: 10
Sort by: Title

  1. Nonlinear Fourier Transform as a Tool for Analyzing the Soliton Dynamics in Systems Obeying the Haus–Ginzburg–Landau Equation

    Chekhovskoy, I. S., Shtyrina, O. V. & Fedoruk, M. P., Dec 2025, In: Bulletin of the Lebedev Physics Institute. 52, Suppl 11, p. S1151-S1160 10 p., 6.

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

  2. Particle Recognition on Transmission Electron Microscopy Images Using Computer Vision and Deep Learning for Catalytic Applications

    Nartova, A. V., Mashukov, M. Y., Astakhov, R. R., Kudinov, V. Y., Matveev, A. V. & Okunev, A. G., Feb 2022, In: Catalysts. 12, 2, 135.

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

  3. Reinforcement Learning for Stabilization of Self-Injection Locking in a DFB Laser with an External Fiber Ring Cavity

    Gemuzov, A. S., Itrin, P. A., Panyaev, I. S., Korobko, D. A., Redyuk, A. A., Fotiadi, A. A., Fedoruk, M. P. & Bednyakova, A. E., Sept 2026, In: IEEE Journal of Selected Topics in Quantum Electronics. 32, 5, p. 0900511-0900511 11 p.

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

  4. Sliding window approach for continuous signal processing with nonlinear Fourier transform

    Chekhovskoy, I. S., Sedov, E. V., Fedoruk, M. P. & Turitsyn, S. K., Nov 2026, In: Physica D: Nonlinear Phenomena. 497, 14 p., 135388.

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

  5. Transfer Learning for Transformer-Based Modeling of Nonlinear Pulse Evolution in Er-Doped Fiber Amplifiers

    Bednyakova, A. E., Gemuzov, A. S., Mishevsky, M. S., Saraeva, K. P., Redyuk, A. A., Mkrtchyan, A. A., Nasibulin, A. G. & Gladush, Y. G., 12 Dec 2025, In: Laser and Photonics Reviews. 14 p., e02014.

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

  6. Using Computer Vision and Deep Learning for Cells Recognition

    Kudinov, V. Y., Mashukov, M. Y., Maslova, E. A., Orishchenko, K. E., Okunev, A. G. & Matveev, A. V., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 17-20 4 p. 9303201. (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

  7. 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

  8. Вступительное слово

    Федорук, М. П. & Moskvichev, V. V., 2025, In: Вычислительные технологии. 30, 4, p. 5-6 2 p.

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

  9. Исследование динамики крупных вихрей в ближней области свободной осесимметричной струи при локальном пульсирующим вдуве в соосном и поперечном направлениях

    Сорокин, М. И., Кушнарев, Д. А., Токарев, М. П. & Дулин, В. М., 2025, In: Теплофизика и аэромеханика. 32, 2, p. 271-277

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

  10. Методы машинного обучения для компенсации искажений сигналов в волоконно-оптических линиях связи: Machine learning methods for compensating signal distortions in fiber-optic communication lines

    Ананьева, К. Ю. (ed.), Сидельников, О. С., Редюк, А. А. & Федорук, М. П., 2024, In: Автометрия. 1, p. 3-14 12 p.

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

Previous 1 2 3 4 Next

ID: 17403078