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  1. 2022

  2. ПРОСТРАНСТВЕННОЕ РАСПРЕДЕЛЕНИЕ ТЯЖЕЛЫХ МЕТАЛЛОВ В ВЕРХНЕМ СЛОЕ ПОЧВЫ: РЕПРЕЗЕНТАТИВНОСТЬ ИСХОДНЫХ ДАННЫХ ДЛЯ ОБУЧЕНИЯ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ

    Шичкин, А. В., Баглаева, Е. М., Сергеев, А. П., Мамедалиева, А. Ю. & Буевич, А. Г., 2022, In: Экологические системы и приборы. 8, p. 33-42 10 p.

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

  3. 2021

  4. The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., Dec 2021, In: Catena. 207, 8 p., 105699.

    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. 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

  7. 2020

  8. Conjoint approach of the "residual" prediction and the nonlinear autoregressive neural network increases the forecast precision of the base model

    Sergeev, A., Shichkin, A., Buevich, A., Baglaeva, E., Subbotina, I., Rakhmatova, A., Kosachenko, A., Moskaleva, A., Medvedev, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120021. (AIP Conference Proceedings; vol. 2293).

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

  9. Prediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I., Medvedev, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120020. (AIP Conference Proceedings; vol. 2293).

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

  10. The forecast of the methane concentration changes for the different time periods on the arctic island bely

    Medvedev, A., Sergeev, A., Shichkin, A., Baglaeva, E., Subbotina, I., Buevich, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120019. (AIP Conference Proceedings; vol. 2293).

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

  11. 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

  12. Двухшаговый комбинированный алгоритм повышения точности прогнозирования концентрации метана в атмосферном воздухе на основе нейронной сети NARX и последующего прогнозирования невязок

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Баглаева, Е. М. & Ремезова, М. С., 2020, In: Арктика: Экология и экономика. 38, 2 (38), p. 59-67 9 p.

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

  13. 2019

  14. Descriptive statistics of air particulate matter size distribution in industrial city

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050011. (AIP Conference Proceedings; vol. 2186).

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

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