Giulia Monteleone

A Weakly Supervised Framework for Anomaly Detection in Hydrogen Blend Transport Networks Using High-Fidelity Simulation Data

The increasing adoption of hydrogen as an energy carrier requires advanced monitoring solutions for transport infrastructures, where intelligent sensing and data-driven analysis can play a key role in improving safety and operational efficiency. However, anomaly detection in hydrogen transport networks remains challeng...