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  1. 2018

  2. Forecasting of heavy metal distribution based on co-kriging and generalized regression neural network with co-elements concentration as input data

    Buevich, A., Shichkin, A., Tyagunov, A., Baglaeva, E. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440018

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

  3. Chromium distribution forecasting in subarctic noyabrsk using cokriging, generalized regression neural network, multilayer perceptron, and hybrid technique

    Buevich, A. G., Sergeev, A. P., Shichkin, A. V., Kosachenko, A. I. & Moskaleva, A. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2076, p. 39-48 10 p.

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

  4. 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

  5. 2017

  6. A hybrid method for assessment of soil pollutants spatial distribution

    Tarasov, D. A., Medvedev, A. N., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050015

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

  7. High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Subbotina, I. E., Shichkin, A. V., Sergeeva, M. V. & Lvova, O. A., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020023

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

  8. Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Shichkin, A. V., Tyagunov, A. G. & Medvedev, A. N., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020033

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

  9. Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P., Shichkin, A. V. & Baglaeva, E. M., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020024

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

  10. 2016

  11. ПРИМЕНЕНИЕ ГЕОСТАТИСТИЧЕСКОГО И НЕЙРОСЕТЕВОГО ПОДХОДА ДЛЯ ОЦЕНКИ ПОВЕРХНОСТНОГО РАСПРЕДЕЛЕНИЯ ПРИМЕСЕЙ В СНЕГОВОМ ПОКРОВЕ НА ТЕРРИТОРИИ МИКРОРАЙОНА АКАДЕМИЧЕСКИЙ ГОРОДА ЕКАТЕРИНБУРГА

    Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Медведева, М. А. & Баглаева, Е. М., 2016, In: Экологические системы и приборы. 10, p. 3-17 15 p.

    Research output: Contribution to journal › Article

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