Gaussian process regression of chirplet decomposed ultrasonic B-scans of a simulated design case
Author(s) -
John Wertz,
Laura Homa,
John T. Welter,
Daniel Sparkman,
John C. Aldrin
Publication year - 2018
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 - 10.1063/1.5031602
Subject(s) - ultrasonic sensor , computer science , inversion (geology) , gaussian process , delamination (geology) , surrogate model , gaussian , reduction (mathematics) , algorithm , robustness (evolution) , computational complexity theory , acoustics , machine learning , mathematics , physics , quantum mechanics , paleontology , biochemistry , chemistry , tectonics , geometry , structural basin , gene , subduction , biology
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