A proposed CNN-based system for automatic OTDR fault classification and localization in rural fiber is claimed to improve detection accuracy from 71.2% to 93.4%, but the evidence is not reproducible.
Advanced Techniques in Optical Network Monitoring and Fault Detection,
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AI-Augmented OTDR Fault Localization Framework for Resilient Rural Fiber Networks in the United States
A proposed CNN-based system for automatic OTDR fault classification and localization in rural fiber is claimed to improve detection accuracy from 71.2% to 93.4%, but the evidence is not reproducible.