1. 2026
  2. Automated Classification and Segmentation of Brain Tumors on MRI Images Using Superpixel-Based Machine Learning

    Shchegoleva, N., Pronina, N., Zalutskaya, N. & Kiyamov, J., 2026, Computational Science and Its Applications -- ICCSA 2025 Workshops. Gervasi, O., Murgante, B., Garau, C., Karaca, Y., Faginas Lago, M. N., Scorza, F. & Braga, A. C. (eds.). Cham: Springer Nature, p. 264-281 18 p.

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

  3. 2025
  4. Решение задач управления

    Квитко, А. Н., Распопова, Н. В. & Литвинов, Н. Н., 2025, Издательство Санкт-Петербургского университета. 204 p.

    Research output: Book/Report/AnthologyBookpeer-review

  5. 2024
  6. General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System

    Геворкян, А., Богданов, А. В. & Мареев, В. В., 20 Nov 2024, In: Particles. 7, 4, p. 1038–1061 24 p.

    Research output: Contribution to journalArticlepeer-review

  7. A New Approach to Managing Smart Environment Infrastructure Settings

    Dik, G., Bogdanov, A., Shchegoleva, N., Dik, A. & Kiyamov, J., 22 Aug 2024, Computational Science and Its Applications -- ICCSA 2024 Workshops. Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A. M. A. & Faginas Lago, M. N. (eds.). Cham: Springer Nature, p. 405-420 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14821 LNCS).

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

  8. Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems

    Bogdanov, A., Shchegoleva, N., Khvatov, V., Kiyamov, J., Dik, G., Rakhmatullayev, I., Ergashev, S. & Umurzakov, O., 30 Jul 2024, Computational Science and Its Applications -- ICCSA 2024 Workshops. Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A. M. A. & Faginas Lago, M. N. (eds.). Cham: Springer Nature, p. 226-237 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14815 LNCS).

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

  9. Mathematics as an engine for computational sciences

    Дегтярев, А. Б., Богданов, А. В. & Мареев, В. В., 1 Jun 2024, In: Physics of Particles and Nuclei. 55, 3, p. 326-328 3 p.

    Research output: Contribution to journalArticlepeer-review

  10. Artificial intelligence use for early signs of illness detection in the elderly age

    Щеголева, Н. Л., Богданов, А. В., Залуцкая, Н. М. & Екимов, А. В., 2024, In: Physics of Particles and Nuclei. 55, 3, p. 560–562

    Research output: Contribution to journalConference articlepeer-review

  11. Combining PBFT and Raft for Scalable and Fault-tolerant Distributed Consensus

    Дик, А. Г., Богданов, А. В., Щеголева, Н. Л., Киямов, Ж. У. & Хватов, В., 2024, In: Physics of Particles and Nuclei. 55, 3, p. 418–420 5 p.

    Research output: Contribution to journalConference articlepeer-review

  12. COMPUTATIONAL CREATIVITY IN IMAGE GENERATION

    Губайдуллина, М. И. & Давыденко, А. А. (ed.), 2024, Proceedings of the XVII All-Russian Scientific and Practical Conference with International Participation in English. In 3 parts.. Сечина, К. А., Липатов, М. С., Кириллова, В. В., Верболоз, Е. И. & Суворова, М. А. (eds.). Санкт-Петербург: Издательство Санкт-Петербургского государственного университета технологии и дизайна, Vol. III. p. 114-121 7 p.

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

  13. Virtual Blockchain Network: a New Way to Safe Data Exchange

    Щеголева, Н. Л., Богданов, А. В., Хватов, В. & Утешев, А. Ю., 2024, In: Physics of Particles and Nuclei. 55, 3, p. 394–397

    Research output: Contribution to journalArticlepeer-review

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