This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
: The growth of sensor networks during the last years is a fact and within this field, wireless sensor networks are growing particularly as there are many applications that demand ...
Jorge Portilla, Angel de Castro, Eduardo de la Tor...
Application layer multicasting has emerged as an appealing alternative to network layer multicasting in wireline networks. Here, we examine the suitability of application layer mu...
Min Ge, Srikanth V. Krishnamurthy, Michalis Falout...
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
A number of emerging distributed platforms include xed and robust workstations but, like dynamic and pervasive networks, are often built from mobile and resource-constrained device...