Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Xueying Dai"'
Publikováno v:
Energies, Vol 17, Iss 21, p 5280 (2024)
A short-term power load forecasting method is proposed based on an improved Sparrow Search Algorithm (ISSA), Variational Mode Decomposition (VMD), and Bidirectional Long Short Term Memory (BiLSTM) neural network. First, the SSA is optimized by combin
Externí odkaz:
https://doaj.org/article/eeecfebc7e4a4c9897ef6ff45fcb3e01
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3251
Electrocardiogram (ECG) signal plays a key role in the diagnosis of arrhythmia, which will pose a great threat to human health. As an effective feature extraction method, deep learning has shown excellent results in processing ECG signals. However, m
Publikováno v:
2022 IEEE 17th International Conference on Control & Automation (ICCA).
Autor:
Xueying Dai
Publikováno v:
Proceedings of the 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020).
Publikováno v:
Proceedings of the 3rd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2019).
Autor:
Wen, Ming1,2,3 (AUTHOR), Liu, Bo1 (AUTHOR), Zhong, Hao1 (AUTHOR), Yu, Zongchao2,3 (AUTHOR), Chen, Changqing4 (AUTHOR) chenchangqing@hncu.edu.cn, Yang, Xian4 (AUTHOR), Dai, Xueying4 (AUTHOR), Chen, Lisi5 (AUTHOR)
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5280. 17p.
Autor:
Xueying Dai
Publikováno v:
Proceedings of the 2013 International Academic Workshop on Social Science (IAW-SC-13).
Autor:
Yuhao Liu1,2, Yunseon Choe3 Yunseon.Choe@asu.edu
Publikováno v:
SAGE Open. Jul-Sep2023, Vol. 13 Issue 3, p1-14. 14p.
Publikováno v:
Electronics (2079-9292); Oct2022, Vol. 11 Issue 19, p3251, 11p