From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energ...
Adam Dunkels, Niclas Finne, Joakim Eriksson, Thiem...
The resolution at which a sensor network collects data is a crucial parameter of performance since it governs the range of applications that are feasible to be developed using tha...
Aman Kansal, William J. Kaiser, Gregory J. Pottie,...
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...