Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sikai Zhang"'
Publikováno v:
Sensors, Vol 24, Iss 13, p 4123 (2024)
The potential for rotor component shedding in rotating machinery poses significant risks, necessitating the development of an early and precise fault diagnosis technique to prevent catastrophic failures and reduce maintenance costs. This study introd
Externí odkaz:
https://doaj.org/article/88551eae1b974dedb9635f4fc84346d9
Autor:
Elizabeth J. Cross, Timothy J. Rogers, Daniel J. Pitchforth, Samuel J. Gibson, Sikai Zhang, Matthew R. Jones
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
Despite the growing availability of sensing and data in general, we remain unable to fully characterize many in-service engineering systems and structures from a purely data-driven approach. The vast data and resources available to capture human acti
Externí odkaz:
https://doaj.org/article/d8ad6890e06b4b26a9e13bccb43d7e64
Autor:
Quanzhi Wang, Sikai Zhang, Junjie Xu, Xinyi Ke, Chao Peng, Zhen Li, Bo Chen, Shang Pan, Tingting Gu
Publikováno v:
Journal of Phytopathology. 170:579-587
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eec36e9e3a63eba4aec40871e3fabc9
https://doi.org/10.1111/jph.13121
https://doi.org/10.1111/jph.13121
Autor:
Zhan Li, Xiaoqian Ju, Chuncheng Che, Zhi Hou, Chunlei Wang, Yuansheng Zang, Juan Chen, Yue Li, Sikai Zhang, Xuebo Zhang, Ying Wang, Shuai Xu, Deshen Zhai, Peng Liang, Changyin Wang, Xiaolong Wu
Publikováno v:
SID Symposium Digest of Technical Papers. 53:764-767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50c34f976b0988765dea177475409346
https://doi.org/10.1002/sdtp.15603
https://doi.org/10.1002/sdtp.15603
Publikováno v:
Building Simulation. 14:1237-1249
Calculating the resistance of ventilation air-conditioning ducts under nonfully developed flow is a crucial problem that must be addressed. Based on the characteristics of the resistance in ventilation air-conditioning ducts, the truncation method—
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f01dbfaed857c8e13dde9893d4a46be
https://doi.org/10.1007/s12273-020-0734-y
https://doi.org/10.1007/s12273-020-0734-y
Autor:
D. J. Pitchforth, Timothy J. Rogers, Sikai Zhang, Matthew R. Jones, S. J. Gibson, Elizabeth J. Cross
Publikováno v:
Structural Integrity ISBN: 9783030817152
The use of machine learning in structural health monitoring is becoming more common, as many of the inherent tasks (such as regression and classification) in developing condition-based assessment fall naturally into its remit. This chapter introduces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c773319487353457f82e8a0f95d2a75
https://doi.org/10.1007/978-3-030-81716-9_17
https://doi.org/10.1007/978-3-030-81716-9_17
Autor:
Sikai Zhang, Elizabeth J. Cross
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783030760038
The aim of this chapter is to develop a general grey-box modelling method, which sufficiently utilises both domain knowledge and monitoring data from operational structures, via the Gaussian process model. Here, the term grey-box model is used to ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9be7f2d9c32856de61991321c7799f7
https://doi.org/10.1007/978-3-030-76004-5_19
https://doi.org/10.1007/978-3-030-76004-5_19
Publikováno v:
2021 International Joint Conference on Neural Networks (IJCNN).
Traffic forecasting is an integral part of intelligent transportation systems (ITS). Achieving a high prediction accuracy is a challenging task due to a high level of dynamics and complex spatial-temporal dependency of road networks. For this task, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69fec638f5e6f0ccc5c73732a13b5c90
https://doi.org/10.1109/ijcnn52387.2021.9534064
https://doi.org/10.1109/ijcnn52387.2021.9534064
Autor:
Changqing Yang, Wenhao Luo, Yubo Liu, Ran Gao, Sikai Zhang, Angui Li, Wuyi Du, Bo Zhang, Jingshan Zhang
Publikováno v:
Building and Environment. 218:109113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07246720575043fd00620db1bdb77e69
https://doi.org/10.1016/j.buildenv.2022.109113
https://doi.org/10.1016/j.buildenv.2022.109113
Autor:
Zi-Qiang Lang, Sikai Zhang
An Orthogonal Least Squares (OLS) based feature selection method is proposed for both binomial and multinomial classification. The novel Squared Orthogonal Correlation Coefficient (SOCC) is defined based on Error Reduction Ratio (ERR) in OLS and used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98a7c311cc74ee2d0fc06f5ea1c91d4
http://arxiv.org/abs/2101.08539
http://arxiv.org/abs/2101.08539