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Xianfeng Li, Ali Naqi, Zain Maqsood and Junichi Koseki
Recently, the acoustic emission (AE) technique has been widely applied in the field of geotechnical engineering. One of the main applications of this technique is to locate damage sources, which is known as the AE source location technique. In this resea...
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Arvin Ebrahimkhanlou and Salvatore Salamone
This paper introduces two deep learning approaches to localize acoustic emissions (AE) sources within metallic plates with geometric features, such as rivet-connected stiffeners. In particular, a stack of autoencoders and a convolutional neural network a...
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Takahiro Omori, Takashi Usui, Kazuo Watabe, Minh-Dung Nguyen, Kiyoshi Matsumoto and Isao Shimoyama
In recent years, with the continuing progress of aging social infrastructures such as bridges and tunnels, there has been high demand for the assessment of deterioration of their performance and conditions. Since current inspection methods for those stru...
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