Юлия Сергеевна Тимошенкова

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5 Citations
1 h-Index
5 Conference contribution
2 Chapter
2 Article
2 Conference article

The Dependence of the Sunspot Forecast Accuracy Using LSTM Networks from Number of Cycles in the Training Set
Timoshenkova, Y. & Safiullin, N., May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 452-455 4 p. 9117641. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Application of data assimilation methods based on Kalman ensemble filters for the Lorenz attractor
Timoshenkova, Y. S., Porshnev, S. V. & Safiullin, N. T., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 390017. (AIP Conference Proceedings; vol. 2116).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
The Required Number of Sunspot Cycles in the Training Set for a Better Accuracy of the Forecast with Artificial Neural Network
Timoshenkova, Y. & Safiullin, N., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Dolganov, AY. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 248-251 4 p. 8736555. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Application of data assimilation algorithms based on Kalman ensemble filters for the lorenz attractor
Timoshenkova, Y. S., Safiullin, N. T. & Porshnev, S. V., 1 Jan 2018, In: CEUR Workshop Proceedings. 2274, p. 82-87 6 p.
Research output: Contribution to journal › Conference article › peer-review
On the possibility of correction of the forecasting of the Lorenz attractor dynamic characteristics using experimental data and data assimilation
Timoshenkova, Y., Safiullin, N. & Porshnev, S., 26 Jul 2018, In: Journal of Physics: Conference Series. 1053, 1, 012004.
Research output: Contribution to journal › Conference article › peer-review
1 Citation (Scopus)

1 Active

Разработка и исследование комплексного метода прогнозирования временных рядов
Поршнев, С. В. & Тимошенкова, Ю. С.
01/09/2020 → 30/09/2022
Project: Award Project

Гран-При областного конкурса «Женский облик науки», 2018
Хальясмаа, Александра Ильмаровна (Recipient), Тимошенкова, Юлия Сергеевна (Recipient) & Волкова, Юлия Владимировна (Recipient), 2018
Prize: Honorary degree
Победитель III областного конкурса «Женский облик науки» номинации «Бизнес-леди в науке», 2019
Тимошенкова, Юлия Сергеевна (Recipient), 2019
Prize: Honorary degree

Timoshenkova, YU. S.

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The Dependence of the Sunspot Forecast Accuracy Using LSTM Networks from Number of Cycles in the Training Set

Application of data assimilation methods based on Kalman ensemble filters for the Lorenz attractor

The Required Number of Sunspot Cycles in the Training Set for a Better Accuracy of the Forecast with Artificial Neural Network

Application of data assimilation algorithms based on Kalman ensemble filters for the lorenz attractor

On the possibility of correction of the forecasting of the Lorenz attractor dynamic characteristics using experimental data and data assimilation

Разработка и исследование комплексного метода прогнозирования временных рядов

Гран-При областного конкурса «Женский облик науки», 2018

Победитель III областного конкурса «Женский облик науки» номинации «Бизнес-леди в науке», 2019

Представители вуза получили новые гранты РФФИ

В конкурсе «Женский облик науки» победили три представительницы вуза

Timoshenkova, YU. S.

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