Methods: To address these challenges, we propose PoseGCN, a Graph Convolutional Network (GCN)-based model that integrates spatial, temporal, and contextual features through a novel framework. PoseGCN ...
Direct method is to create computational graph towards gradient (see Doc), and then perform 2nd order backpropagation for each entry of the gradient to get the hessian (see get_full_hessian). A way to ...
Abstract: Promptly perceiving distribution system states is challenged by frequent topology changes and uncertain power injections. To address these issues, a Meta-learning enhanced physics-informed ...
'ZDNET Recommends': What exactly does it mean? ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources ...
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