Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...
Abstract: Building on the graph neural network architecture proposed by Hao Zhang et al., we propose a novel physics-informed neural network (PINN) approach for efficiently solving both the Helmholtz ...
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