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  1. 2020

  2. Generalization of the classical signal detection theory for the less-equal-more task

    Sergeev, A., Rakhmatova, A., Buevich, A., Symanyuk, E. & Pavlova, S., 15 Sept 2020, In: Mathematical Methods in the Applied Sciences. 43, 13, p. 7834-7840 7 p.

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

  3. 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

  4. ARTIFICIAL NEURAL NETWORKS AS AN INTERPOLATION METHOD FOR ESTIMATION OF CHEMICAL ELEMENT CONTENTS IN THE SOIL: chapter in book

    Buevich, A. G., Sergeev, A. P., Tarasov, D. A. & Medvedev, A. N., 2020, ADVANCES IN INFORMATION TECHNOLOGIES, TELECOMMUNICATION, AND RADIOELECTRONICS: сборник статей. Kumkov, S., Shabunin, S. & Syngellakis, S. (eds.). Cham: Springer, p. 115-122 8 p.

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

  5. EXAMINATION OF THE CLARIFICATION EFFECT UNDER COLORIMETRIC OBJECT ILLUMINATION: chapter in book

    Arapova, S. P., Arapov, S. Y., Tarasov, D. A. & Sergeev, A. P., 2020, ADVANCES IN INFORMATION TECHNOLOGIES, TELECOMMUNICATION, AND RADIOELECTRONICS: сборник статей. Kumkov, S., Shabunin, S. & Singellakis, S. (eds.). Cham: Springer, p. 65-71 7 p. (Сер. Innovation and Discovery in Russian Science and Engineering (IDRSE)).

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

  6. 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

  7. Основы машинного обучения: учебное пособие

    Лимановская, О. В., Алферьева, Т. И., Обабков, И. Н. (ed.), Сергеев, А. П. & Ткаченко, Т. Я., 2020, Екатеринбург: Издательство Уральского университета. 88 p.

    Research output: Book/Report › Scholarly edition › peer-review

  8. 2019

  9. 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

  10. Statistical characteristics calculation of the natural dust size distribution in the air surface layer of Belyy Island

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I., Markelov, Y. & Petrov, P., 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. 050012. (AIP Conference Proceedings; vol. 2186).

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

  11. Using autoregressive neural network with external input for calculation of expected carbon dioxide surface concentration for different time intervals

    Sergeev, A., Baglaeva, E., Shichkin, A., Buevich, A., Rakhmatova, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 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. 050013. (AIP Conference Proceedings; vol. 2186).

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

  12. About data separation for the artificial neural network training to predict the spatial distribution of the chemical element in the soil

    Rakhmatova, A. Y., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 6 Dec 2019, Physics, Technologies and Innovation, PTI 2019: Proceedings of the VI International Young Researchers Conference. Volkovich, V. A., Zvonarev, S. V., Kashin, I. V., Smirnov, A. A. & Narkhov, E. D. (eds.). American Institute of Physics Inc., 5 p. 020159. (AIP Conference Proceedings; vol. 2174).

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

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