Abstract The significant overhead related to frequent location updates from moving objects often results in poor performance. As most of the location updates do not affect the quer...
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Abstract. In the paper compressible, stationary Navier-Stokes (N-S) equations are considered. The model is well-posed, there exist weak solutions in bounded domains, subject to inh...
Abstract. The main thrust of the paper is the design and the numerical analysis of new capand-trade schemes for the control and the reduction of atmospheric pollution. The tools de...