Conventional optical networks are limited by static operational methods that hinder their
scalability and effectiveness. As networks operate with reduced margins to maximize …

Despite the increased exploration of machine learning (ML) techniques for the realization of
autonomous optical networks, less attention has been paid to data quality, which is critical …

Data Augmentation to Reduce Computational Complexity of Neural-Network-Based Soft-Failure
Cause Identifier Page 1 Data Augmentation to Reduce Computational Complexity of Neural-Network-Based …

Abstract Printed Circuit Board (PCB) serves as the fundamental backbone of the modern
electronics industry, providing essential support and connectivity for a wide range of …

This deliverable focuses on the implementation of specific functionalities of the control plane
for multi-band optical networks. First, the open GNPy quality of transmission estimator tool is …