Abstract: The random matrix model provides a straightforward and low-complexity algorithm, making it a promising solution for extended target tracking and shape estimation. However, the random matrix ...
An AI model from Michigan analyzes MRI studies with over 30 sequences in just three seconds on a single GPU – as accurate as ...
Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...
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