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