Giovanni Milione

Real-time, commercial implementation of machine learning for distributed acoustic sensing over ∼100 000 km of cumulative optical fiber deployments

This work overviews the real-time, commercial implementation of machine learning for DAS, including novel, domain-knowledge-based representations of DAS data in multiple dimensions, their use in deep learning-based artificial neural networks, and real-time deployment via edge-based GPUs.