Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data
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DOI: 10.1109/tuffc.2022.3151397
Abstract: Deep learning is an effective method for ultrasonic crack characterization due to its high level of automation and accuracy. Simulating the training set has been shown to be an effective method of circumventing the lack… read more here.
Keywords: experimental data; ultrasonic crack; deep learning; crack characterization ... See more keywords