The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in ...

This method converts multiple raw images into a representative profile diagram by capturing the most relevant ... Separate convolutional neural network (CNN) models are utilized to identify tactile ...

This paper provides an overview of memristor device characteristics, models, synapse circuits, and neural network applications, especially for artificial neural networks and spiking neural networks.

The textbook meaning of an artificial neural network (ANN) is a deep learning model made up of neurons that emulate the structure of the human brain. These neurons are designed to mimic the way nerve ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...