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Showing 1 to 2 of 2 for “"Data Driven Model Order Reduction"”.
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Parameterized macromodeling of passive and active dynamical systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Applications of Data-Driven Learning Models in Fluid Mechanics: Solid-Fluid Multiphase Systems and Bat Flight
… this domain: (1) deep learning-based drag force modeling for particulate suspensions, (2) reduced-order modeling (ROM) for flow predictions in randomly arranged solid arrays, and (3) data-driven analysis of bat flight kinematics. First, we address the challenge of accurately predicting individual …