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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
Yu. M. Polishchuk, M. A. Kupriyanov, V. Yu. Polishchuk, Yu. S. Popkov, “Using geo-simulation modeling to predict changes in Arctic lake areas”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2024, no. 3, 95–106 |
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2023 |
2. |
Yu. A. Dubnov, A. Yu. Popkov, V. Yu. Polishchuk, E. S. Sokol, A. V. Melnikov, Yu. M. Polishchuk, Yu. S. Popkov, “Randomized machine learning algorithms to forecast the evolution of thermokarst lakes area in permafrost zones”, Avtomat. i Telemekh., 2023, no. 1, 98–120 ; Autom. Remote Control, 84:1 (2023), 64–81 |
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2021 |
3. |
Yu. A. Dubnov, Yu. A. Dubnov, V. Yu. Polishchuk, Yu. S. Popkov, Yu. M. Polishchuk, A. V. Mel'nikov, E. S. Sokol, “Entropy-randomized method for the reconstruction of missing data”, Avtomat. i Telemekh., 2021, no. 4, 140–160 ; Autom. Remote Control, 82:4 (2021), 670–686 |
4. |
Yu. A. Dubnov, V. Yu. Polishchuk, A. Yu. Popkov, E. S. Sokol, A. V. Mel'nikov, Yu. M. Polishchuk, Yu. S. Popkov, “Entropine-randomized forecasting of the evolution of the area of thermokarst lakes”, Chelyab. Fiz.-Mat. Zh., 6:3 (2021), 384–396 |
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2020 |
5. |
V. Yu. Polishchuk, I. N. Muratov, M. A. Kupriyanov, Yu. M. Polishchuk, “Modeling the fields of thermokarst lakes in the permafrost based on the geo-simulation approach and satellite images”, Mathematical notes of NEFU, 27:1 (2020), 101–114 |
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