Abstract: In dynamic data driven application systems, the predictions are improved based on measurements obtained in time.

In dynamic data driven application systems, the pre- dictions are improved based on measurements obtained in time. Predicted quantity often satisfies ...

In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies ...

In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies ...

Time based observations are the linchpin of improving predictions in any dynamic data driven application systems. Our predictions are based on solutions to ...

Jun 23, 2008 · We estimate initial conditions and source terms using better and new techniques, which improves predictions for a variety of data-driven models.

Using the correct choice of penalty terms demonstra- tively improves the predictions. 2 Contaminant Concentration Model. Let C be the concentration of a ...

Improving predictions for water spills using DDDAS. C. Douglas, Y. Efendiev, R. Ewing, P. Dostert, and D. Li. IPDPS, page 1-5. IEEE, (2008 ). Links and ...

Abstract. Time based observations are the linchpin of improving pre- dictions in any dynamic data driven application systems. Our predictions.

The DDDAS-based detection and simulation system can effectively improve oil spill simulation and diffusion forecasting, as well as provide decision-making ...