Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.

Conventional approaches to the titration of serum antibody binding use mid-point or end-point titers that are in a relative space and are therefore difficult to standardize. Here we propose the use of ...

Abstract: This study introduces a novel splitting function for the multimode dual-input power amplifier (PA) with the proposed optimization supported by a nonlinear support vector machine (SVM). The ...