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 ...
We introduce the NiNo model predicting future (nowcasting) parameters by learning neuron interaction in vision and language tasks. We feed c (c=5 by default) past parameter states as input to NiNo and ...
Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...
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