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Juan A. Holgado-Terriza

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Open access 2026

Comparative analysis of unsupervised anomaly detection techniques in industrial systems

A comparative evaluation of unsupervised anomaly detection techniques using the PyOD Python library, applied to three representative industrial scenarios: Intrusion Detection, Fault Detection, and Predictive Maintenance, offers valuable guidance for selecting robust anomaly detection models in industrial applications beyond cybersecurity.

Henry O. Velesaca, Melissa Ayllon Gutierrez, Luis Barrera Muñoz et al. · 0 citations

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