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Research on monitoring methods for electricity hall staff based on autonomous updating and semi-supervising model
Tang, Yao; Qiao, Zhenjuan; Zou, Rui; Qiao, Xueming; Liu, Chenglin; Wang, Yiliang
刊名Communications in Computer and Information Science
2018
卷号902页码:359-376
关键词Feature extraction In-service time detection Match weight Semi-supervised k-NNM identification module
DOI10.1007/978-981-13-2206-8_30
会议名称4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018
URL标识查看原文
会议日期21 September 2018 through 23 September 2018
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4582022
专题山东大学
作者单位1.State Grid Weihai Power Supply Company, Weihai
2.Shandong
3.264200, China
4.Weihai N
推荐引用方式
GB/T 7714
Tang, Yao,Qiao, Zhenjuan,Zou, Rui,et al. Research on monitoring methods for electricity hall staff based on autonomous updating and semi-supervising model[J]. Communications in Computer and Information Science,2018,902:359-376.
APA Tang, Yao,Qiao, Zhenjuan,Zou, Rui,Qiao, Xueming,Liu, Chenglin,&Wang, Yiliang.(2018).Research on monitoring methods for electricity hall staff based on autonomous updating and semi-supervising model.Communications in Computer and Information Science,902,359-376.
MLA Tang, Yao,et al."Research on monitoring methods for electricity hall staff based on autonomous updating and semi-supervising model".Communications in Computer and Information Science 902(2018):359-376.
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