Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications...
In this work, we present a computational behavioral model for logic gates called Internode (Internal Node Logic Computational Model) that considers the functionality of the gate a...
Background: Structure-based computational methods are needed to help identify and characterize protein-protein complexes and their function. For individual proteins, the most succ...
The recurring real-time task model was recently proposed as a model for real-time processes that contain code with conditional branches. In this paper, we present a necessary and ...
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...