Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
The research interest in sensor nets is still growing because they simplify data acquisition in many applications. If hardware resources are very sparse, routing algorithms cannot...
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
While desktop grids are attractive platforms for executing parallel applications, their volatile nature has often limited their use to so-called “high-throughput” applications...