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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
Ya. A. Kraeva, M. L. Tsymbler, “Anomaly detection in long time series on high-performance cluster with GPUs”, Num. Meth. Prog., 24:3 (2023), 291–304  |
| 2. |
Ya. A. Kraeva, “Detection of time series anomalies based on data mining and neural network technologies”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 12:3 (2023), 50–71 |
| 3. |
Ya. A. Kraeva, “Anomaly detection in digital industry sensor data using parallel computing”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 12:2 (2023), 47–61 |
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2022 |
| 4. |
M. L. Zymbler, A. N. Poluyanov, Ya. A. Kraeva, “Parallel algorithm for real-time sensor data recovery for a many-core processor”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:3 (2022), 69–90 |
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2021 |
| 5. |
M. L. Zymbler, Ya. A. Kraeva, E. A. Latypova, E. V. Ivanova, D. A. Shnayder, A. A. Basalaev, “Cleaning sensor data in intelligent heating control system”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:3 (2021), 16–36 |
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2020 |
| 6. |
M. L. Zymbler, Ya. A. Kraeva, “Parallel algorithm for time series motif discovery on graphic processor”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:3 (2020), 17–34 |
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2019 |
| 7. |
Ya. A. Kraeva, M. L. Tsymbler, “The use of MPI and OpenMP technologies for subsequence similarity search in very long time series on a computer cluster system with nodes based on the Intel Xeon Phi Knights Landing many-core processor”, Num. Meth. Prog., 20:1 (2019), 29–44 |
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