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Deep multi-modal U-net fusion methodology of infrared and ultrasonic images for porosity detection in additive manufacturing
Author(s) -
Christian Zamiela
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.54718/neaf9531
Subject(s) - porosity , intersection (aeronautics) , fusion , image fusion , artificial intelligence , materials science , ultrasonic sensor , convolutional neural network , pattern recognition (psychology) , computer science , computer vision , engineering , acoustics , image (mathematics) , composite material , physics , linguistics , philosophy , aerospace engineering

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