1 - 20 out of 22Page size: 20
  1. 2024

  2. An Efficient Algorithm for Applied Implementation of Higher-Order Markov Models for Time Series Forecasting

    Belousova, E. E. & Rakitskiy, A., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1870-1873 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

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

  3. Electronic anonymous voting system based on “blind” digital signature

    Dyachkova, I. S. & Rakitskiy, A. A., 2024, In: Journal of Computational Technologies. 29, 1, p. 59-73 15 p.

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

  4. 2023

  5. 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 proceeding › Conference contribution › Research › peer-review

  6. 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 proceeding › Conference contribution › Research › peer-review

  7. 2022

  8. Efficient Algorithms for Time Series Prediction Method

    Rakitskiy, A., 2022, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers Inc., p. 120-123 4 p.

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

  9. 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 journal › Article › peer-review

  10. 2021

  11. 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 proceeding › Conference contribution › Research › peer-review

  12. Development and Research of Neural Network Based Method for Reconstructing Audio Signals

    Morozova, K. & Rakitskiy, A., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 316-318 3 p. 9455000. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

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

  13. Development and Research of the Time Series Prediction Method Based on Finite State Automaton

    Pavlova, U. & Rakitskiy, A., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 305-307 3 p. 9455056. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

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

  14. Development of the Remote Anonimous Voting System and the Analysis of its Vulnerabilities

    Dyachkova, I. & Rakitskiy, A., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 485-487 3 p. 9454990. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

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

  15. 2020

  16. 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 journal › Article › peer-review

  17. 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: Patent › Software registration

  18. Application of the Computer Capacity to the Analysis of Processors Evolution

    Ryabko, B. & Rakitskiy, A., 30 Jun 2020, In: Journal of Circuits, Systems and Computers. 29, 8, 14 p., 2050127.

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

  19. 2019

  20. Anonymous Remote Voting System

    Ракитский, А. А. & Дьячкова, И., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 850-852 3 p. 8958064. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  21. Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor

    Малышева, А. Д. & Ракитский, А. А., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 983-986 4 p. 8958150. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  22. Computer Capacity As a Tool for the Processors Development Analysis

    Rakitskiy, A. & Ryabko, B., Oct 2019, 2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019. Institute of Electrical and Electronics Engineers Inc., p. 186-190 5 p. 9003328. (2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019).

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

  23. 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 proceeding › Conference contribution › Research › peer-review

  24. 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 proceeding › Conference contribution › Research › peer-review

  25. Применение методов машинного обучения на основе решающих деревьев для компенсации нелинейных искажений в волоконно-оптических линиях связи

    Ракитский, А. А. & Редюк, А. А., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 116-117 2 p.

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

  26. 2018

  27. 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 journal › Article › peer-review

Previous 1 2 Next

ID: 14700024