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Keywords: deep neural network
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Proceedings Papers

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT27A019, September 21–25, 2020
Paper No: GT2020-15097
... to employ efficient techniques to consider all the types of damage. Deep neural networks were seen to exhibit the ability to address similar complex problems. The research question in this work is ‘Can data fusion improve damage classification using the convolutional neural network?’ The specific aims...