Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
In this paper, we introduce the Virtual Paths Routing (VPR) Protocol for ad hoc wireless networks. VPR provides highly dynamic, correct, and efficient paths creation and maintenan...
The middleware infrastructure to support applications is becoming critically important to the new horizons of mobile and pervasive computing. In this context, the goal of our work...
—We consider multi-resolution storage, a technique for providing scalable adaptive data fidelity, necessary for many applications of large wireless sensor networks (WSNs). Altho...