1. 2026
  2. Optimization of Fresco Assembly for Accuracy

    Shchegoleva, N., Gladkaya, M. & Dik, G., 2026, Computational Science and Its Applications – ICCSA 2025 Workshops. Springer Nature, p. 294-308 15 p. (Lecture Notes in Computer Science; vol. 15894 LNCS).

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

  3. 2025
  4. Application of Modern Consolidation Methods for Processing Complex Medical Data

    Zalutskaya, N., Shchegoleva, N. & Tonka, P., 25 Oct 2025, In: Physics of Particles and Nuclei. 56, 6, p. 1649-1654 6 p.

    Research output: Contribution to journalArticlepeer-review

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

    Shchegoleva, N., Pronina, N., Zalutskaya, N. & Kiyamov, J., 28 Jun 2025, 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. (Lecture Notes in Computer Science; vol. 15894 LNCS).

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

  6. Hierarchical Virtual Storage

    Ибатуллин, Е. В., Хватов, В., Богданов, А. В. & Щеголева, Н. Л., 28 Jun 2025, Computational Science and Its Applications – ICCSA 2025 Workshops. p. 231–248 18 p. (Lecture Notes in Computer Science).

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

  7. 2024
  8. 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 contributionpeer-review

  9. 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 contributionpeer-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. 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

  13. 2023
  14. Системная интеграция и оптимизация безопасности в многоуровневой виртуальной сети

    Щеголева, Н. Л. & Киямов, Ж. У., 15 Oct 2023, In: КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ. 3, p. 28-34

    Research output: Contribution to journalArticlepeer-review

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