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physics-informed Gaussian copula variational autoencoder

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  1. RESEARCH · CL_128559 ·

    New AI framework accurately identifies bridge damage with uncertainty quantification

    Researchers have developed a novel physics-informed Gaussian copula variational autoencoder (PI-GCVAE) for identifying damage in bridges. This framework integrates a differentiable eigenvalue solver directly into the VA…