Abstract: In recent years, many discrete neural dynamics models are presented based on continuous models to solve the multilinear tensor equation. However, these existing discrete models all depend on ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
A convincing mouth in a portrait often comes down to understanding its true three dimensional form rather than outlining it with stiff, straight lines. This video introduces the idea of treating the ...
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