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Fingerprint Dive into the research topics where Юлия Сергеевна Тимошенкова is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
forecasting Physics & Astronomy
assimilation Physics & Astronomy
data assimilation Earth & Environmental Sciences
sunspot cycle Physics & Astronomy
Kalman filters Physics & Astronomy
dynamic characteristics Physics & Astronomy
filter Earth & Environmental Sciences
education Physics & Astronomy

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Research Output 2015 2019

  • 2 Citations
  • 1 h-Index
  • 3 Conference contribution
  • 2 Chapter
  • 2 Article
  • 2 Conference article

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. E., Simos, T. E., Simos, T. E., Simos, T. E., Tsitouras, C. & Simos, T. E. (eds.). American Institute of Physics Inc., 390017. (AIP Conference Proceedings; vol. 2116).

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

Open Access
assimilation
Kalman filters
data assimilation
forecasting
filter

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. 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 proceedingConference contributionResearchpeer-review

Solar Activity
sunspot cycle
forecasting
Time series
education

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 journalConference articleResearchpeer-review

Kalman filters
1 Citation (Scopus)
assimilation
forecasting
dynamic characteristics
nonlinear systems
filters

О ВОЗМОЖНОСТИ КОРРЕКЦИИ ПРОГНОЗА С ПОМОЩЬЮ DATA ASSIMILATION: статья в сборнике статей

Тимошенкова, Ю. С. & Сафиуллин, Н. Т., 2018, АКТУАЛЬНЫЕ ПРОБЛЕМЫ РАЗВИТИЯ ТЕХНИЧЕСКИХ НАУК: сборник статей. Тарасова, Ю. О. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 120-125

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

data assimilation
Kalman filter
filter
experiment
parameter