Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
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Title
Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
Authors
Keywords
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Journal
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
Volume -, Issue -, Pages 147592172092460
Publisher
SAGE Publications
Online
2020-06-07
DOI
10.1177/1475921720924601
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