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  2. Artificial neural networks selection for soil chemical elements distribution prediction

    Tarasov, D., Vasilev, J., Sergeev, A. & Mokrushin, A., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. Tsitouras, C., Simos, T., Simos, T., Simos, T., Simos, T. & Simos, T. (eds.). American Institute of Physics Inc., Vol. 1978. 440025

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

  3. Chromium distribution forecasting using multilayer perceptron neural network and multilayer perceptron residual kriging

    Tarasov, D., Buevich, A., Shichkin, A., Subbotina, I., Tyagunov, A. & Baglaeva, E., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440019

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

  4. Comparison of different models for the chromium distribution forecasting in topsoil in subarctic Novy Urengoy city

    Sergeev, A., Shichkin, A., Tarasov, D., Sydikhov, A., Sergeeva, M. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440005

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

  5. Forecasting of chromium distribution in subarctic noyabrsk using generalized regression neural networks and multilayer perceptron

    Tarasov, D., Buevich, A., Shichkin, A. & Vasilev, J., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440024

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

  6. Inverse problem of spectral reflection prediction by artificial neural networks: Preliminary results

    Tarasov, D., Milder, O. & Tyagunov, A., 13 Jun 2018, Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 144-147 4 p.

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

  7. Fluid structure interaction analysis on failure of francis turbine runner blades

    Salary, A., Verlinski, S., Levonyan, H., Tyagunov, A. & Tarasov, D., 1 Mar 2018, In: ARPN Journal of Engineering and Applied Sciences. 13, 5, p. 1906-1911 6 p.

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

  8. Failure analysis and crack estimation in a hydro runner blades

    Salary, A., Verlinski, S., Levonyan, H., Tyagunov, A. & Tarasov, D., 1 Jan 2018, In: International Journal of Pure and Applied Mathematics. 119, 12, p. 12841-12848 8 p.

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

  9. Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management

    Milder, O. & Tarasov, D., 1 Jan 2018, Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Paul, M., Hitoshi, C. & Huang, Q. (eds.). Springer Verlag, Vol. 10749 LNCS. p. 53-61 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10749 LNCS).

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

  10. High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P. & Shichkin, A. V., 1 Jan 2018, In: Applied Geochemistry. 88, p. 188-197 10 p.

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

  11. Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis

    Milder, O. & Tarasov, D., 1 Jan 2018, Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Paul, M., Hitoshi, C. & Huang, Q. (eds.). Springer Verlag, Vol. 10749 LNCS. p. 40-52 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10749 LNCS).

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

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