Abstract: Unsupervised visual defect detection is essential across various industrial applications. Typically, this involves learning a representation space that captures only the features of normal ...
Abstract: Deep neural network (DNN)-based inversion of ground penetrating radar (GPR) data is gaining significant attention, primarily using simulated data for training due to the lack of ground truth ...
Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...
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