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An intrusion events recognition method by incremental learning is proposed and demonstrated. Assisted with fiber optic distributed acoustic sensing (DAS) system, the average recognition accuracy of 91% is achieved with only 28.7% training set in the field test.
© 2022 The Author(s)
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