Our deep Finding out product, or disruption predictor, is designed up of a element extractor plus a classifier, as is shown in Fig. one. The characteristic extractor is made of ParallelConv1D layers and LSTM layers. The ParallelConv1D layers are designed to extract spatial features and temporal capabilities with a comparatively smaller time scale.
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