Shuang Wang
PulseAugur coverage of Shuang Wang — every cluster mentioning Shuang Wang across labs, papers, and developer communities, ranked by signal.
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New DREMnet framework enhances denoising for electromagnetic surveys
Researchers have developed DREMnet, a novel interpretable framework designed to denoise signals acquired through semi-airborne transient electromagnetic (SATEM) surveys. This method addresses limitations in existing dee…
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New deep learning paradigm enhances ATEM data inversion interpretability
Researchers have developed a novel deep learning framework designed to improve the accuracy and interpretability of airborne transient electromagnetic (ATEM) data inversion. This new paradigm disentangles noisy data int…
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OpenEM dataset advances AI in geological exploration
Researchers have introduced OpenEM, a large-scale 3D dataset designed to advance the application of deep learning in electromagnetic (EM) methods for geological exploration. Existing datasets are often too simple and la…