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Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computer-aided engineering (CAE) models play a pivotal role in predicting crashworthiness of vehicle designs. While CAE models continue to advance in fidelity and accuracy, an inherent discrepancy between CAE model predictions ...
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