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Ulsan Univ. Repository Journal Papers Engineering IT Convergence

Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features

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Publisher
SENSORS
Language
영어
ISSN
1424-8220
Citation Volume
21
Citation Number
2
Citation Start Page
367
Citation End Page
367
Appears in Collections:
Engineering > IT Convergence
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