The network-on-chip (NoC) paradigm is seen as a way of facilitating the integration of a large number of computational and storage blocks on a chip to meet several performance and...
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
— In this paper, an innovative self-checking Reed Solomon encoder architecture is described. The presented architecture exploits some properties of the arithmetic operations in G...
In this paper we will present a set of experiments using large digitalized collections of books to show that logical structures can be extracted with good quality when working at ...
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...