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Azam S. Zavar Moosavi
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2020 – today
- 2021
- [j2]Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu:
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. J. Comput. Sci. 50: 101295 (2021)
2010 – 2019
- 2019
- [c2]Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu:
A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. ICCS (4) 2019: 126-140 - [c1]Azam S. Zavar Moosavi, Ahmed Attia
, Adrian Sandu
Tuning Covariance Localization Using Machine Learning. ICCS (4) 2019: 199-212 - 2018
- [j1]Razvan Stefanescu, Azam S. Zavar Moosavi, Adrian Sandu:
Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. J. Comput. Appl. Math. 340: 629-644 (2018) - [i7]Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu:
A Machine Learning Approach to Adaptive Covariance Localization. CoRR abs/1801.00548 (2018) - [i6]Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu:
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. CoRR abs/1802.08055 (2018) - 2017
- [i5]Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu:
Multivariate predictions of local reduced-order-model errors and dimensions. CoRR abs/1701.03720 (2017) - 2016
- [i4]Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu:
Cluster Sampling Filters for Non-Gaussian Data Assimilation. CoRR abs/1607.03592 (2016) - 2015
- [i3]Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu:
Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. CoRR abs/1511.02909 (2015) - 2014
- [i2]Azam S. Zavar Moosavi, Adrian Sandu:
Approximate Exponential Algorithms to Solve the Chemical Master Equation. CoRR abs/1410.1934 (2014) - [i1]Azam S. Zavar Moosavi, Paul Tranquilli, Adrian Sandu:
Solving stochastic chemical kinetics by Metropolis Hastings sampling. CoRR abs/1410.8155 (2014)
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