A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
An ad hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any existing network infrastructure or centralized administra...
Josh Broch, David A. Maltz, David B. Johnson, Yih-...
We propose an economic model based on user utility to study the adoption of new network architectures such as IPv6. We use mathematical analysis and simulation studies to understa...
Dilip Antony Joseph, Nikhil Shetty, John Chuang, I...
This paper presents Timed Petri Nets (TPN) as an analytical approach for verification of computerized queueing network simulation models at steady state. It introduces a generic a...
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...