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Deep learning for thermal image processing – applications on arc welding process

keywords DEEP LEARNING, NDT, THERMOGRAPHY, WELDING

Reference persons FRANCESCA MARIA CURA', RAFFAELLA SESANA

External reference persons LUCA SANTORO

Thesis type EXPERIMENTAL AND MODELING

Description This work aims to investigate the application of deep learning algorithms to the thermographic acquisition of welding processes in order to detect anomalies, recognize and characterize defects.

Required skills Matlab and Pyton


Deadline 17/10/2023      PROPONI LA TUA CANDIDATURA




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