... of interest. However, existing approaches are a tradeoff between the accuracy of the prediction and the speed at which the data can be analyzed, and processing the collected data into a meaningful image requires both time and computational resources. We propose to develop convolutional neural networks (CNNs...

... learning algorithms, namely, neural networks, convolutional neural networks, and deep Gaussian processes, were used to perform model-based sensitivity analysis for ultrasonic testing systems using three benchmark cases developed by the WFNDEC. First, the global accuracy of these algorithms was measured...