Digital Twin-Integrated Binary Classifier ML Model for EDFA Failure Prediction

This study presents a digital twin-enabled framework integrated with a binary classification Machine Learning (ML) model for forecasting failures in Erbium-Doped Fiber Amplifiers (EDFAs). The framework utilizes GNPy, an opensource optical network planning tool, to construct a digital twin that serve... View More