The remarkable development of deep learning in medicine and healthcare domain presents
obvious privacy issues, when deep neural networks are built on users' personal and highly …

In this brief, a novel approximation method and its optimized hardware implementation are
proposed for the sigmoid function used in Deep Neural Networks (DNNs). Based on …

The paper presents in detail a relatively simple implementation method of the hyperbolic
tangent function, particularly targeted for FPGAs. The research goal of the proposed method …

In this paper we propose a low-error approximation of the sigmoid function and hyperbolic
tangent, which are mainly used to activate the artificial neuron, based on the piecewise …

This paper presents the high accuracy hardware implementation of the hyperbolic tangent
and sigmoid activation functions for artificial neural networks. A kind of a direct …

CHEBYSHEV POLYNOMIAL APPROXIMATION FOR ACTIVATION SIGMOID FUNCTION 1.
Introduction Page 1 CHEBYSHEV POLYNOMIAL APPROXIMATION FOR ACTIVATION …

The prediction of a high-level cognitive function based on a proactive brain–machine
interface (BMI) control edge device is an emerging technology for improving the quality of …

Here a more accurate piecewise approximation (PWA) scheme for non‐linear activation
function is proposed. It utilizes a precision‐controlled recursive algorithm to predict a sub …

Intelligent embedded systems can be found everywhere in a variety of innovative
applications. The main challenge consists in developing small-size single-chip embedded …

La neumonía es una afección inflamatoria del pulmón que afecta a los alvéolos. El
diagnóstico se basa en los síntomas y en el examen físico. Las radiografías de tórax son …