1. 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 journalArticlepeer-review

  2. 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 journalArticlepeer-review

  3. Support vector machine based nonlinear compensation for few mode fiber transmission systems

    Sidelnikov, O., Redyuk, A., Ferreira, F. & Sygletos, S., 2017, The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017. OSA Publishing, Vol. Part F82-CLEO_Europe 2017.

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

  4. Statistical occurrence of soliton content in the conventional optical WDM signals

    Sedov, E. V., Redyuk, A. A., Fedoruk, M. P. & Turitsyn, S. K., 2 Nov 2020, Proceedings - International Conference Laser Optics 2020, ICLO 2020. Institute of Electrical and Electronics Engineers Inc., 9285623. (Proceedings - International Conference Laser Optics 2020, ICLO 2020).

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

  5. Soliton-sinc optical pulses

    Turitsyn, S. K., Bogdanov, S. & Redyuk, A., 1 Oct 2020, In: Optics Letters. 45, 19, p. 5352-5355 4 p.

    Research output: Contribution to journalArticlepeer-review

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