1. Artificial neural network and kriging interpolation for the chemical elements contents in the surface layer of soil on a background area

    Sergeev, A., Buevich, A., Medvedev, A., Subbotina, I. & Sergeeva, M., 2015, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 3 ed. International Multidisciplinary Scientific Geoconference, Vol. 2. p. 49-56 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  2. 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 proceedingChapterpeer-review

  3. Big Data Analysis with Python and Oracle APEX Integration

    Timokhini, V. N., Timokhini, N. V. & Medvedev, A. N., 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., 110029. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  4. Building the curve of shock wave damping in a solid sample using data discrete integration

    Labinskiy, K. & Medvedev, A., 2023, In: AIP Conference Proceedings. 2849, 1, 090022.

    Research output: Contribution to journalConference articlepeer-review

  5. Calculation of the social laziness syndrome level indicators in the game of top-level sport teams

    Polozov, A. A., Kraev, M. V., Kovyazina, I., Rolis, A. V. & Medvedev, A. N., 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. 050021. (AIP Conference Proceedings; vol. 2186).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  6. Calculations of wind mass transfer of pollution: Simulation and analytical models

    Berg, D. B., Gubarev, S. V., Medvedev, A. N. & Taubayev, A. A., 1 Oct 2015, IFAC Proceedings Volumes (IFAC-PapersOnline). 25 ed. IFAC Secretariat, Vol. 48. p. 227-230 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  7. Classification of online toxic comments using the logistic regression and neural networks models

    Saif, M. A., Medvedev, A. N., Medvedev, M. A. & Atanasova, T., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060011

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  8. Cleaner production in mining industry: A flowsheet for underground mining of iron ore deposit

    Medvedev, A. N., Sokolov, I., Gobov, N. & Smirnov, A. I., 2014, 14th International Multidisciplinary Scientific Geoconference and EXPO - GeoConference on Informatics, Geoinformatics and Remote Sensing, SGEM 2014. 1 ed. International Multidisciplinary Scientific Geoconference, Vol. 3. p. 85-90 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  9. Cloud service for electricity consumption forecasting

    Doronin, A. V., Minullin, Y. E., Kitaev, A., Medvedev, A. & Spasov, K., 1 Jan 2019, Education and Accreditation in Geosciences; Environmental Legislation, Multilateral Relations and Funding Opportunities. 2.1 ed. International Multidisciplinary Scientific Geoconference, p. 153-155 3 p. (International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM; vol. 19, no. 2.1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  10. 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 proceedingConference contributionpeer-review

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