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Automatic detection of short surface cracks in induction thermography using Deep Learning models trained with experimental data, synthetic images and FEM simulation results

The impact of Deep Learning (DL) models in multiple areas of science and technology continues to grow at an impressive rate. Induction thermography inspection systems could greatly benefit from DL as it would allow for fully automated defect detection based on the thermal images....