Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhou, Shengchen"'
Time-series anomaly detection plays a vital role in monitoring complex operation conditions. However, the detection accuracy of existing approaches is heavily influenced by pattern distribution, existence of multiple normal patterns, dynamical featur
Externí odkaz:
http://arxiv.org/abs/2202.02721
Publikováno v:
In Information Sciences March 2019 477:220-233
Autor:
Chen Kang, Peng Huaiwu, Zhang Junfeng, Xu Xinxin, Zhou Shengchen, Ruan Jingxin, Li Biao, Wang Yueshe
Publikováno v:
Energy Science & Engineering. 10:3918-3927
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd4014f102687a822e0c19ab714a3ad3
https://doi.org/10.1002/ese3.1255
https://doi.org/10.1002/ese3.1255
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319987750
The problem of detecting anomalies in time series has attracted much attention recently due to its numerous applications. In this paper, we proposed a novel framework based on nonlinear methods. Firstly, we use time-dependent URP (Unthreholded Recurr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9784f6e3c4b664a3c62732de8d0085ce
https://doi.org/10.1007/978-3-319-98776-7_52
https://doi.org/10.1007/978-3-319-98776-7_52
Autor:
Jia, Jianli1 (AUTHOR) jl_202@xatu.edu.cn, Xu, Tianci1 (AUTHOR), Zhong, Ling1 (AUTHOR), Xu, Jiang1 (AUTHOR), Zhou, Xueying1 (AUTHOR), Li, Shengchen1 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. Aug2022, Vol. 121 Issue 7/8, p5617-5634. 18p.
Autor:
Kang, Chen, Huaiwu, Peng, Junfeng, Zhang, Xinxin, Xu, Shengchen, Zhou, Jingxin, Ruan, Biao, Li, Yueshe, Wang
Publikováno v:
Energy Science & Engineering; Oct2022, Vol. 10 Issue 10, p3918-3927, 10p
Autor:
Mao De Ma, Xi Long Qu
Selected, peer reviewed papers from the 4th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2014), September 13-15, 2014, Chongqing, China
Autor:
Osvaldo Gervasi, Beniamino Murgante, Ana Maria A. C. Rocha, Chiara Garau, Francesco Scorza, Yeliz Karaca, Carmelo M. Torre
This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full pap
The book highlights innovative ideas, cutting-edge findings, and novel techniques, methods and applications touching on all aspects of technology and intelligence in smart city management and services. Above all, it explores developments and applicat