|
|
Publications in Math-Net.Ru |
Citations |
|
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 |
|
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 |
|
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 |
|
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 |
1
|
|
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 |
|
|
|