Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
We present some quantitative performance measurements for the computing power of Programmable Active Memories (PAM), as introduced by [2]. Based on Field Programmable Gate Array (...
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...