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  1. 2024

  2. Development of the basic platform of the autonomous Intelligent robotic complex (AIRTC) with improved functionality

    Kozulin, I., Chernyavskiy, A., Mashkov, N., Nazarov, A. & Kravchenko, O., 31 Dec 2024, In: Robotics and Technical Cybernetics. 12, 4, p. 288-295

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

  3. Крепёжное устройство цифровой камеры для анализа изображения объекта при помощи искусственного интеллекта

    Окунев, А. Г., Козулин, И. А., Пауль, С. А. & Харченко, Р. В., 24 Oct 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 229736, 1 Aug 2024, Priority date 1 Aug 2024, Priority No. 2024121916

    Research output: Patent › Patent for utility model

  4. Устройство для размещения и фиксации цифровых видеокамер для диагностики остроты зрения при помощи искусственного интеллекта

    Окунев, А. Г., Козулин, И. А., Пауль, С. А. & Харченко, Р. В., 24 Oct 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 229753, 1 Aug 2024, Priority date 1 Aug 2024, Priority No. 2024121917

    Research output: Patent › Patent for utility model

  5. Устройство на основе искусственного интеллекта для проведения быстрого скрининга остроты зрения

    Окунев, А. Г., Козулин, И. А., Пауль, С. А. & Харченко, Р. В., 30 Sept 2024, Новосибирский государственный университет, Patent No. 98, Priority date 27 Sept 2024

    Research output: Patent › Know-how registration

  6. Development of control algorithm for autonomous intelligent robotic complex (AIRTC)

    Kozulin, I., Chernyavskiy, A. & Nazarov, A., 1 Mar 2024, In: Robotics and Technical Cybernetics. 12, 1, p. 46-54

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

  7. 2023

  8. Development a prototype of the basic platform of the autonomous intelligent robotics system (AIRS)

    Kozulin, I., Chernyavskiy, A., Mashkov, N., Nazarov, A. & Kravchenko, O., 1 Dec 2023, In: Robotics and Technical Cybernetics. 11, 4, p. 303-311

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

  9. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 29 Jun 2023, p. 1740-1745.

    Research output: Contribution to conference › Paper › peer-review

  10. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1740-1745 6 p.

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

  11. 2022

  12. Verification Method of Hypothesis Based on Different EEG Data Statistical Processing

    Merkulova, E. A., Ladonovskaya, K. V., Bocharov, A. V. & Kozulin, I. A., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 525-529 5 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2022-June).

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

  13. 2021

  14. Interchannel nonlinearity compensation using a perturbative machine learning technique

    Kozulin, I. A. & Redyuk, A. A., 15 Aug 2021, In: Optics Communications. 493, 127026.

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

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