Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements

By F. Darema. International Conference on Conceptual Structures, 2004

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DDDAS-based multi-fidelity simulation framework for supply chain systems (2010, methodology): “DDDAS has been conceived as a powerful tool that allows more effective measurement processes in a variety of application areas which creates challenges in the areas of applications, mathematical algorithms, systems software and in the way data is collected (Darema, 2004).”
A probabilistic graphical model foundation for enabling predictive digital twins at scale (2020, methodology): “The computational model (12) can be adapted to perform an eigenanalysis of the form”
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database (2019, methodology): “Introduction With the proliferation of high-resolution datasets and the significant advances in numerical algorithms, the emerging idea by utilizing both data-driven models and physical models simultaneously to enhance traditional scientific computing and engineering design procedures [1,2] has attr”