Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
This paper presents an accelerator for k-th nearest neighbor thinning, a run time intensive algorithmic kernel used in recent multi-objective optimizers. We discuss the thinning al...
Tobias Schumacher, Robert Meiche, Paul Kaufmann, E...
In this paper we present an hardware implementation of the RSA algorithm for public-key cryptography. The RSA algorithm consists in the computation of modular exponentials on larg...
Antonino Mazzeo, Luigi Romano, Giacinto Paolo Sagg...
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
With reference to digital input power amplifier for automotive audio applications, the paper presents an exhaustive exploration of the huge mixed-signal space to find optimal trad...