semantic_scholar / 2017

An accelerated alignment method for analyzing time sequences of industrial alarm floods

Cen Guo, Wenkai Hu, Shiqi Lai, F. Yang, Tongwen Chen

AI Safety

No abstract is available for this paper yet.

40 citations0 influential

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Title: An accelerated alignment method for analyzing time sequences of industrial alarm floods
Authors: Cen Guo, Wenkai Hu, Shiqi Lai, F. Yang, Tongwen Chen
Year: 2017
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Categories: AI Safety
Citations: 40
Paper URL: https://www.semanticscholar.org/paper/47c498e6d271549a45ff4633ccbb003034f0b22c
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Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=An%20accelerated%20alignment%20method%20for%20analyzing%20time%20sequences%20of%20industrial%20alarm%20floods)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=An%20accelerated%20alignment%20method%20for%20analyzing%20time%20sequences%20of%20industrial%20alarm%20floods)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/47c498e6d271549a45ff4633ccbb003034f0b22c)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=An%20accelerated%20alignment%20method%20for%20analyzing%20time%20sequences%20of%20industrial%20alarm%20floods+paper+explained)