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System of systems uncertainty quantification using machine learning techniques with smart grid application.

, , , and . Syst. Eng., 23 (6): 770-782 (2020)

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Bayesian approach for randomization of heuristic algorithms of discrete programming., , and . Randomization Methods in Algorithm Design, volume 43 of DIMACS Series in Discrete Mathematics and Theoretical Computer Science, page 161-177. DIMACS/AMS, (1997)Sufficient Statistics for Optimal Decentralized Control in System of Systems., , , , , , and . AI4I, page 92-95. IEEE, (2018)Simulation-optimization approach to clinical trial supply chain management with demand scenario forecast., , , and . Comput. Chem. Eng., (2012)A Bayesian Approach to Pharmaceutical Product Quality Risk Quantification., , , and . Informatica, 22 (4): 537-558 (2011)A stochastic programming approach for the Bayesian experimental design of nonlinear systems., , and . Comput. Chem. Eng., (2015)A Decomposition Strategy for the Variational Inference of Complex Systems., , , , and . Technometrics, 58 (1): 84-94 (2016)Identifying Interactions for Information Fusion System Design Using Machine Learning Techniques., , , , and . FUSION, page 226-233. IEEE, (2018)System of systems uncertainty quantification using machine learning techniques with smart grid application., , , and . Syst. Eng., 23 (6): 770-782 (2020)Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets., , , and . J. Aerosp. Inf. Syst., 13 (5): 175-190 (2016)Experiences in Evolving System-of-Systems Engineering Methodology to Address Pain Points., , , and . SoSE, page 189-194. IEEE, (2019)