Our predictions are based on solutions to differential equation models with unknown initial conditions and source terms. In this paper we want to simulate a ...
Abstract: In dynamic data driven application systems, the predictions are improved based on measurements obtained in time.
Abstract. Time based observations are the linchpin of improving pre- dictions in any dynamic data driven application systems. Our predictions.
Jun 23, 2008 · In this paper we want to simulate a waste spill by a water body, such as near an aquifer or in a river or bay. We employ sensors that can ...
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In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies ...
DDDAS Predictions for Water Spills ... Authors: Craig C. Douglas; Paul Dostert; Yalchin Efendiev; Richard E. Ewing; Deng Li; Robert A. Lodder. List of references.
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 ...
Inproceedings,. Improving predictions for water spills using DDDAS. C. Douglas, Y. Efendiev, R. Ewing, P. Dostert, and D. Li. IPDPS, page 1-5. IEEE, (2008 ). 1.
Abstract: In dynamic data driven application systems, the predictions are improved based on measurements obtained in time.