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  1. 2017

  2. Best practices combining traditional and digital technologies in education

    Lisachenko, D. A., Barmasov, A. V., Bukina, M. N., Stankova, E. N., Vysotskaya, S. O. & Zarochentseva, E. P., 2017, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Rocha, A. M. A. C., Stankova, E., Misra, S., Borruso, G., Cuzzocrea, A., Taniar, D., Gervasi, O., Murgante, B., Torre, C. M. & Apduhan, B. O. (eds.). Springer Nature, p. 483-494 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10408 LNCS).

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

  3. Finding motifs in medical data

    Osipov, V., Vodyaho, A., Stankova, E., Zukova, N. & Zeno, B., 2017, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Rocha, A. M. A. C., Stankova, E., Misra, S., Borruso, G., Cuzzocrea, A., Taniar, D., Gervasi, O., Murgante, B., Torre, C. M. & Apduhan, B. O. (eds.). Springer Nature, p. 371-386 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10408 LNCS).

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

  4. Hybrid approach combining model-based method with the technology of machine learning for forecasting of dangerous weather phenomena

    Stankova, E. N., Grechko, I. A., Kachalkina, Y. N. & Khvatkov, E. V., 2017, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Rocha, A. M. A. C., Stankova, E., Misra, S., Borruso, G., Cuzzocrea, A., Taniar, D., Gervasi, O., Murgante, B., Torre, C. M. & Apduhan, B. O. (eds.). Springer Nature, p. 495-504 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10408 LNCS).

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

  5. Inductive synthesis of the models of biological systems according to clinical trials

    Osipov, V., Lushnov, M., Stankova, E., Vodyaho, A. & Zukova, N., 2017, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Murgante, B., Apduhan, B. O., Borruso, G., Stankova, E., Gervasi, O., Misra, S., Taniar, D., Rocha, A. M. A. C., Cuzzocrea, A. & Torre, C. M. (eds.). Springer Nature, p. 103-115 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10404).

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

  6. Prototype of Informational Infrastructure of a Program Instrumentation Complex for Carrying Out a Laboratory Practicum on Physics in a University

    Dyachenko, N. V., Barmasov, A. V., Stankova, E. N., Struts, A. V., Barmasova, A. M. & Yakovleva, T. Y., 2017, Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V. Springer Nature, p. 412-427 (Lecture Notes in Computer Science; vol. 10408).

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

  7. 2016

  8. Computational Environment for Numerical Modeling of the Results of Cloud Seeding

    Stankova, E. N., Korkhov, V. V., Kulabukhova, N. V., Vasilenko, A. Y. & Holod, I. I., 2016, In: Lecture Notes in Computer Science. 9788, p. 454–462

    Research output: Contribution to journal › Article

  9. The Use of Computer Technology as a Way to Increase Efficiency of Teaching Physics and Other Natural Sciences

    Stankova, E. N., Barmasov, A. V., Dyachenko, N. V., Bukina, M. N., Barmasova, A. M. & Yakovleva, T. Y., 2016, In: Lecture Notes in Computer Science. 9789, p. 581–594

    Research output: Contribution to journal › Article

  10. Using Technologies of OLAP and Machine Learning for Validation of the Numerical Models of Convective Clouds

    Stankova, E. N., Balakshiy, A. V., Petrov, D. A., Shorov, A. V. & Korkhov, V. V., 2016, In: Lecture Notes in Computer Science. 9788, p. 463–472

    Research output: Contribution to journal › Article

  11. 2015

  12. A Parallel Algorithm for Efficient Solution of Stochastic Collection Equation

    Stankova, E. N. & Karpov, I. A., 2015, In: Lecture Notes in Computer Science. 9158, p. 290–298

    Research output: Contribution to journal › Article

  13. Hybrid approach perturbed KdVB equation

    Bogdanov, A. V., Mareev, V. V. & Stankova, E. N., 2015, Computational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings. Gavrilova, M. L., Gervasi, O., Murgante, B., Misra, S., Torre, C., Taniar, D., Apduhan, B. O., Rocha, A. M. A. C. & Misra, S. (eds.). Springer Nature, p. 331-341 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9158).

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

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