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  1. 2021

  2. DEVELOPMENT of A TOOL for INTERACTIVE DETAILING of AREAS of OBJECTS for the STRENGTH MODELLING SYSTEM

    Budlov, E., Iakushkin, O., Sedova, O. & Gogotov, A., 2021, In: CEUR Workshop Proceedings. 3041, p. 101-105 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  3. 2020

  4. Algorithm for Creating Massive Amounts of Unique Three-Dimensional Models and Materials from Rocks

    Iakushkin, O., Budlov, E., Bainova, E. & Sedova, O., 2020, Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Gervasi, O., Murgante, B., Misra, S., Garau, C., Blecic, I., Taniar, D., Apduhan, B. O., Rocha, A. M. A. C., Tarantino, E., Torre, C. M. & Karaca, Y. (eds.). Springer Nature, p. 94-104 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12254 LNCS).

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

  5. Алгоритм создания больших объемов уникальных трехмерных моделей и материалов из горных пород.

    Будлов, Е. О. & Якушкин, О. О., 2020, In: ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. 7, 1, p. 205-209

    Research output: Contribution to journal › Article

  6. 2019

  7. Автоматизированное создание уникальных редактируемых текстур для трехмерных моделей археологических артефактов.

    Будлов, Е. О. & Якушкин, О. О., 2019, In: ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. 6, 1, p. 228-233

    Research output: Contribution to journal › Article

  8. 2018

  9. Colour markers localization system

    Budlov, E. O. & Sevostyanov, R. A., 1 Nov 2018, Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. Vitaly, K., Evgeny, P. & Bogach, N. (eds.). Association for Computing Machinery, p. 143-145 3 p. (ACM International Conference Proceeding Series).

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

ID: 13794064