Automatic defect localization and characterization through machine learning based inversion for guided wave imaging in SHM
Author(s) -
Roberto Miorelli,
Andrii Kulakovskyi,
Olivier Mesnil,
Oscar D’Almeida
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5099771
Subject(s) - structural health monitoring , computer science , guided wave testing , support vector machine , inversion (geology) , artificial intelligence , inverse problem , context (archaeology) , algorithm , machine learning , pattern recognition (psychology) , acoustics , engineering , geology , mathematics , seismology , physics , mathematical analysis , paleontology , structural engineering , tectonics
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