Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...
An Aliasing-Free Low-Frequency Pretrained Model for Seismic Interpolation Using a Small Training Set
Abstract: High-density seismic data are critical for enhancing the accuracy of subsequent processing. Deep learning (DL) is useful in seismic interpolation due to its powerful nonlinear mapping ...
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