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Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing

Overview of attention for article published in this source, November 2019
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5 patents

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104 Mendeley
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Article details
Title
Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing
Published by
Institute of Electrical and Electronics Engineers (IEEE), November 2019
DOI 10.1109/soca.2019.00021
Authors

Ruei-Jie Hsieh, Jerry Chou, Chih-Hsiang Ho

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 14%
Student > Master 11 11%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Lecturer 3 3%
Other 9 9%
Unknown 56 54%
Readers by discipline
Readers by discipline Count As %
Computer Science 21 20%
Engineering 19 18%
Business, Management and Accounting 2 2%
Chemical Engineering 1 <1%
Mathematics 1 <1%
Other 1 <1%
Unknown 59 57%