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  1. Article › Research › Not peer-reviewed

  2. 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

  3. Article › Research › Peer-reviewed

  4. A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region

    Sergeev, A., Shichkin, A., Baglaeva, E., Buevich, A. & Butorova, A., 1 Feb 2024, In: Atmospheric Pollution Research. 15, 2, 102000.

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

  5. A two-step combined algorithm based on NARX neural network and the subsequent prediction of the residues improves prediction accuracy of the greenhouse gases concentrations

    Buevich, A., Sergeev, A., Shichkin, A. & Baglaeva, E., Mar 2021, In: Neural Computing and Applications. 33, 5, p. 1547-1557 11 p.

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

  6. Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

    Sergeev, A. P., Buevich, A. G., Baglaeva, E. M. & Shichkin, A. V., 1 Mar 2019, In: Catena. 174, p. 425-435 11 p.

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

  7. Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover

    Sergeev, A. P., Shichkin, A. V., Buevich, A. G. & Baglaeva, E. M., 1 Jun 2023, In: Modeling Earth Systems and Environment. 9, 2, p. 1523-1530 8 p.

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

  8. Forecasting of some greenhouse gases content trend in the air of the Russian Arctic region

    Baglaeva, E., Buevich, A., Sergeev, A., Rakhmatova, A. & Shichkin, A., Feb 2021, In: Atmospheric Pollution Research. 12, 2, p. 68-75 8 p.

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

  9. 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

  10. Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

    Baglaeva, E. M., Sergeev, A. P., Buevich, A. G., Subbotina, I. E. & Shichkin, A. V., 1 Jul 2019, In: Atmospheric Pollution Research. 10, 4, p. 1220-1226 7 p.

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

  11. Security Certificates Used in Public Web Sites of Banks in Czech Republic, Slovakia and Hungary

    Petrov, P., Malkawi, R., Shichkin, A., Dimitrov, G. & Nacheva, R., Nov 2019, In: Tem Journal-Technology Education Management Informatics. 8, 4, p. 1224-1231 8 p.

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

  12. The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 1 Jan 2020, In: Mathematical Geosciences. 52, 1, p. 111-121 11 p.

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

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