1. Теория информации как инструмент для определения основных факторов, влияющих на архитектуру процессоров

    Rakitskiy, A. A. & Ryabko, B. Y., Oct 2020, In: Journal of Computational Technologies. 25, 6, p. 104-115 12 p.

    Research output: Contribution to journalArticlepeer-review

  2. Программа для проведения численного эксперимента по компенсации нелинейных искажений в волоконно-оптических линиях связи при помощи метода, базирующегося на теории возмущений

    Ракитский, А. А., 8 Jul 2020, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2020617594, Priority date 11 Jun 2020, Priority No. 2020616033

    Research output: PatentSoftware registration

  3. Метод для восстановления аудиосигнала с помощью свёрточных нейронных сетей

    Дементьева, К. И. & Ракитский, А. А., 2022, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 20, 3, p. 38-50 13 p., 4.

    Research output: Contribution to journalArticlepeer-review

  4. Using Convolutional Neural Networks to Restore Audiosignals

    Morozova, K. & Rakitskiy, A., 30 Jun 2021, 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, p. 524-527 4 p. 9507633. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2021-June).

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

  5. The study of the applicability of machine learning methods based on decision trees for holter monitoring

    Ракитский, А. А. & Бочкарёв, Б., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 758-761 4 p. 8958257. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  6. Theoretical Approach to Performance Evaluation of Supercomputers

    Ryabko, B. & Rakitskiy, A., Apr 2018, In: Journal of Circuits, Systems and Computers. 27, 4, 13 p., 1850062.

    Research output: Contribution to journalArticlepeer-review

  7. Parallel Solve Phase of a Direct Sparse Solver

    Gumalevskii, R. V., Karasenko, I. I. & Rakitskiy, A. A., 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 Inc., p. 1900-1903 4 p.

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

  8. Parallel Matching for Graph Partitioning on Shared Memory

    Rakitskiy, A. A. & Trusov, K. V., 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 Inc., p. 1830-1833 4 p.

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

  9. Investigation of the Processors Evolution Using the Computer Capacity

    Ryabko, B. & Rakitskiy, A., 8 Mar 2019, Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018. Institute of Electrical and Electronics Engineers Inc., p. 404-408 5 p. 8664322

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

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