Abstract: This work proposes a new processing method based on orthonormal basis functions (OBFs) for two-dimensional (2-D) magnetic anomaly data, which is an innovative extension of one-dimensional (1 ...
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Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
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