Kai-Uwe Schröder

Reducing Experimental Data Requirements in CNN-based damage detection through Transfer Learning

This study demonstrates that transfer learning enables efficient adaptation to real-world conditions, offering a cost-effective and scalable solution for data-driven SHM.