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  1. 2022

  2. COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra

    Kugaevskikh, A. V., 2022, Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Shaposhnikov, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 24-27 4 p. (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022).

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

  3. Биологически-подобные модели сверточных нейронов в задаче распознавания иллюзорного контура

    Кугаевских, А. В. & Берьянов, М. С., 2022, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 20, 1, p. 47-56 10 p., 4.

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

  4. 2021

  5. Research of a Neuron Model with Signal Accumulation for Motion Detection

    Kugaevskikh, A., 2021, Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021. Kazantsev, V., Lobov, S., Gordleeva, S. & Shusharina, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. (Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021).

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

  6. 2020

  7. Recognition of deaf gestures based on a bio-inspired neural network

    Grif, M. G. & Kugaevskikh, A. V., 10 Nov 2020, In: Journal of Physics: Conference Series. 1661, 1, 012038.

    Research output: Contribution to journal › Conference article › peer-review

  8. Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation

    Кугаевских, А. В., Sept 2020, Proceedings - 2020 International Russian Automation Conference, RusAutoCon 2020. Institute of Electrical and Electronics Engineers Inc., p. 719-724 6 p. 9208069. (Proceedings - 2020 International Russian Automation Conference, RusAutoCon 2020).

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

  9. 2019

  10. Analyzing the Efficiency of Segment Boundary Detection Using Neural Networks

    Kugaevskikh, A. V. & Sogreshilin, A. A., 1 Jul 2019, In: Optoelectronics, Instrumentation and Data Processing. 55, 4, p. 414-422 9 p.

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

ID: 9670693