Frontiers

Application of the Richards function to serum antibody titration

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 ...
IEEE

A Novel Power Splitting for 1.2–5.7-GHz Dual-Input Power Amplifier Using Sigmoid Function and Nonlinear Support Vector Machin

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 ...
IEEE

A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization

Abstract: Machine learning (ML) has become pervasive in various research fields, including binaural synthesis personalization, which is crucial for sound in immersive virtual environments. Researchers ...
Scientific Research Publishing

Pennington, J., Schoenholz, S.S. and Ganguli, S. (2017) Resurrecting the Sigmoid in Deep Learning Through Dynamical Isometry: Theory and Practice. Advances in Neural ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...