Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
Abstract: Polarization navigation has been proven to be a remarkably effective strategy for unmanned underwater vehicles (UUVs) in heading determination. However, it is difficult for existing schemes ...
Physics-Informed Neural Networks (PINNs) are a class of deep learning models designed to solve differential equations by incorporating physical laws directly into the training process. Instead of ...
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