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  1. 2024

  2. 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

  3. 2023

  4. 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

  5. Application of the Wavelet Data Transformation for the Time Series Forecasting by the Artificial Neural Network: book chapter

    Butorova, A., Baglaeva, E., Subbotina, I., Sergeeva, M., Sergeev, A., Shichkin, A., Buevich, A. & Petrov, P., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, A. (ed.). Springer Cham, p. 365-370 6 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

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

  6. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere: book chapter

    Butorova, A., Buevich, A., Shichkin, A., Sergeev, A., Baglaeva, E., Sergeeva, M., Subbotina, I. & Vasilev, J., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, А. (ed.). Springer Cham, p. 383-388 16 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

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

  7. Influence of the transfer function of the NARX network hidden layer on the accuracy of predicting the changes in the surface methane concentration

    Medvedev, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 2023, In: AIP Conference Proceedings. 2849, 1, 090025.

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

  8. СРАВНЕНИЕАЛГОРИТМОВ ОБУЧЕНИЯ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ NARX ДЛЯ ПРОГНОЗИРОВАНИЯ ВРЕМЕННЫХ РЯДОВ КОНЦЕНТРАЦИЙ МЕТАНА И УГЛЕКИСЛОГО ГАЗА

    Буторова, А. С., Шичкин, А. В., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М. & Субботина, И. Е., 2023, In: Экологические системы и приборы. 9, p. 37-45 9 p.

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

  9. 2022

  10. Comparing the Types of Artificial Neural Networks to Predict the Carbon Dioxide Concentration Changes

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I. & Sergeeva, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110007. (AIP Conference Proceedings; vol. 2425).

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

  11. Improved Algorithm for Splitting Raw Data into Training and Test Subsamples for MLP-Based Models

    Sergeev, A., Rakhmatova, A., Buevich, A., Shichkin, A., Baglaeva, E. & Subbotina, I., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110009. (AIP Conference Proceedings; vol. 2425).

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

  12. Short-Term Forecast the Dynamics of Changes in the Surface Concentration of Methane Using a Non-Linear Autoregressive Neural Network with External Input and Vector Autoregression Model

    Sergeev, A., Shichkin, A., Buevich, A., Rakhmatova, A. & Remezova, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110010. (AIP Conference Proceedings; vol. 2425).

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

  13. The Pattern of Some Greenhouse Gases Content in the Air of Belyy Island in the Russian Arctic Region

    Sergeev, A., Baglaeva, E., Buevich, A., Shichkin, A. & Remezova, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110008. (AIP Conference Proceedings; vol. 2425).

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

  14. 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

  15. 2021

  16. 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

  17. 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

  18. 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

  19. 2020

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 2019

  26. 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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