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A semi-supervised anomaly detection approach for detecting mechanical failures
Publication:
A semi-supervised anomaly detection approach for detecting mechanical failures
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Date
2024
Journal article
https://doi.org/10.1017/S0890060424000131
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978.62 KB
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APA
Chicago
Harvard
IEEE
Basic data
APA
Chicago
Harvard
IEEE
Author(s)
Soete, Colin
;
Rademaker, Michael
;
Van Hoecke, Sofie
Journal
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
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322
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Acq. date: 2026-01-09
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Metrics
Views
322
since deposited on 2024-11-21
2
last month
Acq. date: 2026-01-09
Citations