The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
Abstract. A fundamental problem of future networks is to get fully selforganized routing protocols with good scalability properties that produce good paths in a wide range of netwo...
In this paper we propose a novel three phase route recovery mechanism for routing over switched single beam directional antennas. We enhance the popular Dynamic Source Routing (DS...
Tarun Joshi, Hrishikesh Gossain, Carlos de M. Cord...