Title | In Pursuit of the Best Detection of Positive Data Under User’s Concern on False Alarm |
Author | |
DOI | |
Publication Years | 2022
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ISBN | 978-1-6654-7046-9
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Source Title | |
Pages | 337-345
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Conference Date | 15-17 July 2022
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Conference Place | Wuhan, China
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Keywords | |
SUSTech Authorship | First
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URL | [Source Record] |
Indexed By | |
EI Accession Number | 20223412604129
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EI Keywords | Alarm systems
; Classification (of information)
; Constrained optimization
; Defects
; Errors
; Evolutionary algorithms
; Forecasting
; Just in time production
; Learning algorithms
; Machine learning
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ESI Classification Code | Information Theory and Signal Processing:716.1
; Computer Programming:723.1
; Artificial Intelligence:723.4
; Machine Learning:723.4.2
; Information Sources and Analysis:903.1
; Materials Science:951
; Systems Science:961
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9837710 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/401493 |
Department | Research Institute of Trustworthy Autonomous Systems 工学院_计算机科学与工程系 |
Affiliation | 1.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, China 2.Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology, China, Shenzhen, China |
First Author Affilication | Research Institute of Trustworthy Autonomous Systems |
First Author's First Affilication | Research Institute of Trustworthy Autonomous Systems |
Recommended Citation GB/T 7714 |
Cong Teng,Liyan Song. In Pursuit of the Best Detection of Positive Data Under User’s Concern on False Alarm[C],2022:337-345.
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