Figure 3.3 shows an interface between coarse (Δxc) and fine (Δxf=Δxc/2) patches of a 1D FDTD grid, on which for every time step Δtc on the coarse grid two time steps Δtc/2 are applied to advance solution on the fine grid. Solution on the coarse grid can be advanced in ...
Therefore, the comparison between SI and CO reflects pure semantic conflict (different colors but mapped to the same response), whereas the contrast between SI-RI reflects response conflict only (both have semantic conflict)8–10,27,30,34 (see Fig. 1B). By manipulating the masking strength...
The vanilla feed-forward network consists of two linear transformation layers, where the hidden dimension D′ between two layers is expanded to learn a richer feature representation. In contrast, we intro- duce a depthwise 3D convolution (with BN and ...
Figure 3.3 shows an interface between coarse (Δxc) and fine (Δxf=Δxc/2) patches of a 1D FDTD grid, on which for every time step Δtc on the coarse grid two time steps Δtc/2 are applied to advance solution on the fine grid. Solution on the coarse grid can be advanced in ...
However, previous approaches fail to capture the implicit correlations between joints and handle actions across varying time intervals. To address these problems, we propose an adaptive multi-scale difference graph convolution Network (AMD-GCN), which comprises an adaptive spatial graph convolution ...
An advantage of the present model is that the propagation of waves from deep water to shallow water in near-shore and the interaction between waves and river inflows may be carried out seamlessly. Tedious interpolations and the so-called multi-model steering operation adopted by many existing ...