AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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.