Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
Abstract. This paper describes AutoNetkit, an auto-configuration tool for complex network emulations using Netkit, allowing large-scale networks to be tested on commodity hardware....
Hung X. Nguyen, Matthew Roughan, Simon Knight, Nic...
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
—We study the problem of localizing a large sensor network having a complex shape, possibly with holes. A major challenge with respect to such networks is to figure out the corr...
Abstract. Current data-intensive Web applications, such as on-line trading, ecommerce, corporate portals and so on, are becoming more and more complex, both in terms of density of ...