20091 - 20100 out of 23,854Page size: 10
  1. Using compact gas-dynamic stands for modeling the expansion of supersonic jets in vacuum

    Zarvin, A. E., Kalyada, V. V. & Yaskin, A. S., 2 Nov 2018, 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. Fomin (ed.). American Institute of Physics Inc., Vol. 2027. 6 p. 030053. (AIP Conference Proceedings; vol. 2027).

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

  2. Using Computer Vision and Deep Learning for Cells Recognition

    Kudinov, V. Y., Mashukov, M. Y., Maslova, E. A., Orishchenko, K. E., Okunev, A. G. & Matveev, A. V., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 17-20 4 p. 9303201. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  3. Using Computer Vision and Deep Learning for Nanoparticle Recognition on Scanning Probe Microscopy Images: Modified U-net Approach

    Liz, M. F., Nartova, A. V., Matveev, A. V. & Okunev, A. G., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 13-16 4 p. 9303184. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-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. Using Current-Voltage Characteristics to Control the Structure of Contacts in Polyethylene Based Composites Modified by Multiwalled Carbon Nanotubes

    Moseenkov, S. I., Zavorin, A. V., Ishchenko, A. V., Serkova, A. N., Selyutin, A. G. & Kuznetsov, V. L., 1 Apr 2020, In: Journal of Structural Chemistry. 61, 4, p. 628-639 12 p.

    Research output: Contribution to journalArticlepeer-review

  6. Using data compression and randomisation to build an unconditionally secure short key cipher

    Ryabko, B., 2022, 2022 IEEE Information Theory Workshop, ITW 2022. Institute of Electrical and Electronics Engineers Inc., p. 238-242 5 p. (2022 IEEE Information Theory Workshop, ITW 2022).

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

  7. Using data compression to build a method for statistically verified attribution of literary texts

    Ryabko, B. & Savina, N., Oct 2021, In: Entropy. 23, 10, 1302.

    Research output: Contribution to journalArticlepeer-review

  8. Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts"

    Levenets, J., Novikovskaya, A., Panteleeva, S., Reznikova, Z. & Ryabko, B., 1 Apr 2020, In: Mathematics. 8, 4, 10 p., 579.

    Research output: Contribution to journalArticlepeer-review

  9. Using data-compressors for statistical analysis of problems on homogeneity testing and classification

    Ryabko, B., Guskov, A. & Selivanova, I., 9 Aug 2017, 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 121-125 5 p. 8006502. (IEEE International Symposium on Information Theory - Proceedings).

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

  10. Using deep learning to enhance event geometry reconstruction for the telescope array surface detector

    Ivanov, D., Kalashev, O. E., Kuznetsov, M. Y., Rubtsov, G., Sako, T., Tsunesada, Y. & Zhezher, Y., Mar 2021, In: Machine learning-Science and technology. 2, 1, 11 p., 015006.

    Research output: Contribution to journalArticlepeer-review