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  1. 2018

  2. Forecasting of spatial variable by the models based on artificial neural networks on an example of heavy metal content in topsoil

    Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050007

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

  3. Recognition of chromium distribution features in different urban soils by multilayer perceptron

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050008

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

  4. IDENTIFICATION OF THE COSMIC SPHERULES IN THE MODERN URBAN SEDIMENTS

    Danilenko, I. A., Baglaeva, E. M., Petrova, E. V., Yakovlev, G. A. & Seleznev, A. A., Aug 2018, In: Meteoritics & Planetary Science. 53, p. 6226-6226 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  5. Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area

    Subbotina, I. E., Buevich, A. G., Shichkin, A. V., Sergeev, A. P., Tarasov, D. A., Tyagunov, A. G., Sergeeva, M. V. & Baglaeva, E. M., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. Bardis, N. (ed.). American Institute of Physics Inc., Vol. 1982. 7 p. 020004. (AIP Conference Proceedings; vol. 1982).

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

  6. 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 proceeding › Conference contribution › peer-review

  7. Forecasting of heavy metal distribution based on co-kriging and generalized regression neural network with co-elements concentration as input data

    Buevich, A., Shichkin, A., Tyagunov, A., Baglaeva, E. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440018

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

  8. ДИСПЕРСНЫЙ СОСТАВ ПЫЛИ ПРИЗЕМНОГО СЛОЯ АТМОСФЕРЫ УРБАНИЗИРОВАННОЙ ТЕРРИТОРИИ ПО ДАННЫМ ЭКОЛОГИЧЕСКОГО СКРИНИНГА НА ПРИМЕРЕ ГОРОДА ЕКАТЕРИНБУРГА

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М., Семянников, В. С. & Дзвинко, И. В., 2018, In: Экологические системы и приборы. 9, p. 3-10 8 p.

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

  9. 2017

  10. 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 proceeding › Conference contribution › peer-review

  11. ОЦЕНКА СОДЕРЖАНИЯ ВТОРИЧНЫХ МИНЕРАЛЬНЫХ РЕСУРСОВ В ПРУДАХ-ОСВЕТЛИТЕЛЯХ ШАХТНЫХ ВОД МЕСТОРОЖДЕНИЙ ЦВЕТНЫХ МЕТАЛЛОВ

    Баглаева, Е. М., Буевич, А. Г., Сергеев, А. П. & Тарасов, Д. А., 2017, In: Экологические системы и приборы. 3, p. 22-30 9 p.

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

  12. ПОДБОР ТИПА И СТРУКТУРЫ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ОЦЕНКИ РАСПРЕДЕЛЕНИЯ ХИМИЧЕСКИХ ЭЛЕМЕНТОВ В ВЕРХНЕМ СЛОЕ ПОЧВЫ

    Мокрушин, А. А., Тарасов, Д. А., Сергеев, А. П., Буевич, А. Г. & Баглаева, Е. М., 2017, In: Экологические системы и приборы. 8, p. 36-48 13 p.

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

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