Abstract: In this article, we propose a complementary deep-neural-network (C-DNN) processor by combining convolutional neural network (CNN) and spiking neural network (SNN) to take advantage of them.
Introduction: Triple negative breast cancer (TNBC) is characterized by high malignancy and poor prognosis due to the lack of a clear therapeutic target. The search for therapeutic targets for TNBC has ...
Abstract: Quasi complementary sequence sets (QCSSs) are important in modern communication systems as they are capable of supporting more users, which is desired in applications like MC-CDMA nowadays.
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