Abstract: This article presents a comprehensive treatment and a systematic design methodology of filtering couplers based on canonical coupled resonator networks. A theoretical framework for the ...
Abstract: Conventionally, training a deep neural network (DNN) involves minimizing an empirical risk over a training dataset that comprises a certain number of classes. However, for training more ...
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