Abstract: This article analyzes the composition and characteristics of echo signals in a pseudorandom-coded ground-penetrating radar (GPR). Based on these characteristics, an innovative low-rank ...
RADAM uses deep neural networks (CNNs) available in timm==0.6.7 for texture feature extraction, and then "classic" machine learning classification is done with scikit-learn classifiers. Several ...
Abstract: The attenuation of seismic field noise using self-supervised deep learning (DL) has gained attention due to its label-free training process. However, common self-supervised methods are ...
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