1. 2016
  2. 2017
  3. 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 proceedingConference contributionpeer-review

  4. 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 proceedingConference contributionpeer-review

  5. 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 proceedingConference contributionpeer-review

  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 proceedingConference contributionpeer-review

  7. 2018
  8. 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 journalArticlepeer-review

  9. 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 proceedingConference contributionpeer-review

  10. 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 proceedingConference contributionpeer-review

  11. 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 proceedingConference contributionpeer-review

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