|
[1]
|
Wan, Y., Li, J., Weng, P., et al. (2006) First Engineering Commissioning of EAST Tokamak. Plasma Science and Technology, 8, 253-254. [Google Scholar] [CrossRef]
|
|
[2]
|
Wu, S. (2007) An Overview of the EAST Project. Fusion Engineering and Design, 82, 463-471. [Google Scholar] [CrossRef]
|
|
[3]
|
柴竹新, 吴宜灿, 刘伯学. 核聚变装置EAST高可靠性辐射防护控制系统[J]. 核电子学与探测技术, 2005(1): 28-31, 43.
|
|
[4]
|
彭标, 陈根, 段文学, 等. 合肥国产超导质子回旋加速器主真空控制系统的设计与实现[J]. 原子核物理评论, 2025, 42(2): 273-278.
|
|
[5]
|
Leone, D., Carrubba, V., Mazzaro, S., Nobili, M., Cucè, D. and Hamilton, D. (2021) EPICS Application for ITER RH Supervisory Control System. Fusion Engineering and Design, 169, Article ID: 112429. [Google Scholar] [CrossRef]
|
|
[6]
|
He, S., Huang, L., Chen, X., Zhang, X., Wang, Z., Zuo, Y., et al. (2025) Safety and Interlock System for Poloidal Field Power Supply Based on Epics. Fusion Engineering and Design, 212, Article ID: 114823. [Google Scholar] [CrossRef]
|
|
[7]
|
贵重, 李艳, 李云翔, 等. 国产操作系统发展及分析[J]. 电信工程技术与标准化, 2023, 36(6): 76-80.
|
|
[8]
|
苏行, 杨韬, 孙保琪, 等. 基于N-BEATS的单站对流层天顶总延迟预报[J]. 中国空间科学技术, 2022, 42(2): 56-63.
|
|
[9]
|
程旭初, 刘景霞, 康荣凯. 基于改进STGCN与N-BEATS的风功率超短期预测[J]. 现代电子技术, 2025, 48(8): 115-121.
|
|
[10]
|
Vijayalakshmi, B., Ramar, K., Jhanjhi, N., Verma, S., Kaliappan, M., Vijayalakshmi, K., et al. (2020) An Attention‐based Deep Learning Model for Traffic Flow Prediction Using Spatiotemporal Features Towards Sustainable Smart City. International Journal of Communication Systems, 34, e4609. [Google Scholar] [CrossRef]
|
|
[11]
|
Salinas, D., Flunkert, V., Gasthaus, J. and Januschowski, T. (2020) DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks. International Journal of Forecasting, 36, 1181-1191. [Google Scholar] [CrossRef]
|
|
[12]
|
Luo, D. and Wang, X. (2024) ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis. The Twelfth International Conference on Learning Representations 2024, Vienna, 7-11 May 2024, 1-43.
|
|
[13]
|
Oreshkin, B.N., Carpov, D., Chapados, N., et al. (2019) N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting. arXiv: 1905.10437.
|
|
[14]
|
Olivares, K.G., Challu, C., Marcjasz, G., Weron, R. and Dubrawski, A. (2023) Neural Basis Expansion Analysis with Exogenous Variables: Forecasting Electricity Prices with NBEATSx. International Journal of Forecasting, 39, 884-900. [Google Scholar] [CrossRef]
|
|
[15]
|
Woo, S., Park, J., Lee, J. and Kweon, I.S. (2018) CBAM: Convolutional Block Attention Module. In: Ferrari, V., Hebert, M., Sminchisescu, C. and Weiss, Y., Eds., Computer Vision—ECCV 2018, Springer, 3-19. [Google Scholar] [CrossRef]
|