Abstract: The merit in adapting a Graph Neural Network (GNN) for image analysis is that it can capture long-range dependencies between distant parts of the image. This is particularly important in ...
Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
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