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Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection.

, , and . DyDESS, volume 8964 of Lecture Notes in Computer Science, page 310-321. Springer, (2014)

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Optimal information collection for source parameter estimation of atmospheric release phenomenon., , and . ACC, page 604-609. IEEE, (2014)A multiresolution approach for modeling of diffusion phenomenon., , , and . FUSION, page 1544-1551. IEEE, (2009)Application of Conjugate Unscented Transform in source parameters estimation., , and . ACC, page 2448-2453. IEEE, (2013)Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection., , and . DyDESS, volume 8964 of Lecture Notes in Computer Science, page 310-321. Springer, (2014)Polynomial chaos based method for state and parameter estimation., , , and . ACC, page 6358-6363. IEEE, (2012)Inference Calibration of Neural Network Models., , and . ICKG, page 347-354. IEEE, (2022)Fast Construction of Surrogates for UQ Central to DDDAS- Application to Volcanic Ash Transport., , , , , , , , , and 1 other author(s). ICCS, volume 29 of Procedia Computer Science, page 1227-1235. Elsevier, (2014)A robust data assimilation approach in the absence of sensor statistical properties., , and . ACC, page 5206-5211. IEEE, (2015)Challenges in Developing DDDAS Based Methodology for Volcanic Ash Hazard Analysis - Effect of Numerical Weather Prediction Variability and Parameter Estimation., , , , , , , , , and 3 other author(s). ICCS, volume 18 of Procedia Computer Science, page 1871-1880. Elsevier, (2013)Polynomial Chaos Quadrature-based Minimum Variance Approach for Source Parameters Estimation., , , , , , , , , and . ICCS, volume 9 of Procedia Computer Science, page 1129-1138. Elsevier, (2012)