—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
Vittoria de Nitto Persone, Giuliano Casale, Evgeni...
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
In this paper, we address the problem of power dissipation minimization in combinational circuits implemented using pass transistor logic (PTL). We transform the problem of power ...
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...
Power consumption has been the primary issue in processor design, with various power reduction strategies being adopted from system-level to circuitlevel. In order to develop a po...