1. 2026
  2. Identifying the Characteristics of Brain Regions in Individuals with Different Neurocognitive Characteristics Based on Functional MRI Data

    Shchegoleva, N. & Nurjemal, K., 30 Jun 2026, (E-pub ahead of print) Computational Science and Its Applications – ICCSA 2026 Workshops. Springer Nature, p. 433-446 14 p. Chapter 27. (Computational Science and Its Applications – ICCSA 2026 Workshops; vol. 16763).

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

  3. New Digital Birth Certificate Based on Biometric and Documentary Data of the Child

    Shchegolev, A. D., Kukharev, G. A. & Shchegoleva, N. L., 30 Jun 2026, (E-pub ahead of print) Computational Science and Its Applications – ICCSA 2026 Workshops. Springer Nature, p. 415-432 18 p. Chapter 26. (Computational Science and Its Applications – ICCSA 2026 Workshops; vol. 16763).

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

  4. A Method for Covertly Embedding Encrypted Information into Raster Images Using Coordinate Masking

    Bogdanov, A., Киямов, Ж. У., Shchegoleva, N., Dik, A., Ergashev, S. & Miraliev, I., 2026, In: Physics of Particles and Nuclei. 57, 4, p. 849-851 3 p.

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

  5. Investigating Alzheimer's Disease Using a Sequential Analytical Pipeline for High-Dimensional, Low-Sample Biomedical Data

    Shchegoleva, N., Tonka, P. & Zalutskaya, N., 2026, COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT IX. Springer Nature, p. 340-355 16 p. (Lecture Notes in Computer Science; vol. 15894 LNCS).

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

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

  7. 2025
  8. 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 journal › Article › peer-review

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

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

  11. 2024
  12. 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 proceeding › Conference contribution › Research › peer-review

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

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