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Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.compositesb.2021.109450

Publication URI: http://dx.doi.org/10.1016/j.compositesb.2021.109450

Type: Journal Article/Review

Parent Publication: Composites Part B: Engineering