1 - 10 out of 52Page size: 10
  1. 2025

  2. Программа для прогнозирования резонансной частоты оптикоакустического детектора с учетом температуры газовой смеси «OAD_ResFreqPred»

    Редюк, А. А., Козьмин, А. Д. & Бороздин, П. А., 30 Apr 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025661126, 16 Apr 2025, Priority date 16 Apr 2025, Priority No. 2025619062

    Research output: Patent › Software registration

  3. Compensation of nonlinear signal distortions in optical fiber communication systems

    Redyuk, A., Sidelnikov, O. & Fedoruk, M., Apr 2025, In: Optics Communications. 578, 131418.

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

  4. Резонансный дифференциальный оптико-акустический детектор

    Редюк, А. А., Бойко, А. А., Костюкова, Н. Ю., Ерушин, Е. Ю. & Козьмин, А. Д., 25 Feb 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 232122, 4 Oct 2024, Priority date 4 Oct 2024, Priority No. 2024129927

    Research output: Patent › Patent for utility model

  5. Dispersive delay line based on a microcylinder

    Aprelov, N. A., Kolesnikova, A. Y., Makarova, N. A., Redyuk, A. A. & Vatnik, I. D., 2025, In: Optics Letters. 50, 10, p. 3301-3304 4 p.

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

  6. 2024

  7. Оптоволоконный сенсор на брэгговских решетках для взвешивания транспортных средств в движении

    Редюк, А. А. & Иванов, С. Ю., 23 Dec 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 230853, 2 Nov 2024, Priority date 2 Nov 2024, Priority No. 2024133010

    Research output: Patent › Patent for utility model

  8. Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning

    Borozdin, P., Erushin, E., Kozmin, A., Bednyakova, A., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Dec 2024, In: Sensors. 24, 23, 7518.

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

  9. Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization

    Redyuk, A. A., Shevelev, E. I., Danilko, V. R. & Fedoruk, M. P., Nov 2024, In: Bulletin of the Lebedev Physics Institute. 51, Suppl 6, p. S449-S457 9 p.

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

  10. Wavelet-Based Machine Learning Algorithms for Photoacoustic Gas Sensing

    Kozmin, A., Erushin, E., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Jun 2024, In: Optics. 5, 2, p. 207-222 16 p.

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

  11. 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

  12. ML-Assisted Particle Swarm Optimization of a Perturbation-Based Model for Nonlinearity Compensation in Optical Transmission Systems

    Redyuk, A., Shevelev, E., Danilko, V. & Fedoruk, M., 1 Jan 2024, In: Journal of Lightwave Technology. p. 1-8

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

Previous 1 2 3 4 5 6 Next

ID: 3454510