crossrefPhotonics2025-09-29Cited by 1
Robust and Interpretable Machine Learning for Network Quality Prediction with Noisy and Incomplete Data
Pei Huang, Yicheng Li, Hai Gong, Herman Koara
Accurate classification of optical communication signal quality is crucial for maintaining the reliability and performance of high-speed communication networks. While existing supervised learning approaches achieve high accuracy on laboratory-collected datasets, they often face d…