Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
In the resource over-constrained environment of sensor networks, techniques for storing data locally in sensor nodes have been proposed to support efficient processing of adhoc qu...
Mohamed Aly, Nicholas Morsillo, Panos K. Chrysanth...
Today, there is an increasing demand to share data with complex data types (e.g., multi-dimensional) over large numbers of data sources. One of the key challenges is sharing these ...
Abstract. Wireless sensor networks (WSNs) have a wide range of useful, datacentric applications, and major techniques involved in these applications include in-network query proces...
Multi-resolution methods are widely used in scientific visualization, image processing, and computer graphics. While many applications only require an one-time construction of the...