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A Dynamic Data Driven Wildland Fire Model.

, , , , , , , , and . International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 1042-1049. Springer, (2007)

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Wavelet ensemble Kalman filters., , and . IDAACS (2), page 514-517. IEEE, (2011)978-1-4577-1426-9.DDDAS approaches to wildland fire modeling and contaminant tracking., , , , , , , , , and 2 other author(s). WSC, page 2117-2124. IEEE Computer Society, (2006)Vectorized persistent homology representations for characterizing glandular architecture in histology images., , , , , , , and . ISBI, page 232-235. IEEE, (2018)A wildland fire model with data assimilation, , , , , , and . CENTER FOR COMPUTATIONAL MATHEMATICS REPORTS, CCR233. University of Colorado at Denver, (March 2007)Data driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulations., , , and . ICCS, volume 1 of Procedia Computer Science, page 1221-1229. Elsevier, (2010)Towards a real-time data driven wild land fire model., , , , , , and . IPDPS, page 1-5. IEEE, (2008)Demonstrating the Validity of a Wildfire DDDAS., , , , , , , , and . International Conference on Computational Science (3), volume 3993 of Lecture Notes in Computer Science, page 522-529. Springer, (2006)Morphing Ensemble Kalman Filters, and . CoRR, (2007)Structured crowdsourcing enables convolutional segmentation of histology images., , , , , , , , , and 21 other author(s). Bioinform., 35 (18): 3461-3467 (2019)A Dynamic Data Driven Wildland Fire Model., , , , , , , , and . International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 1042-1049. Springer, (2007)