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Showing 1 to 2 of 2 for “"Parametric Design Optimization"”.
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Data-Driven Deep Learning Methods for Physically-Based Simulations
… The second type of application deals with the parametric design optimization processes; specifically, we train Deep Learning models to speed up the objective function calls. These applications are described after a novel and sound formalization of the main concepts of supervised Machine …
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Parametric Design and Optimization of an Upright of a Formula SAE car
… finding the right balance between lightweight design and ample stiffness, crucial for maintaining precise steering geometry and overall vehicle dynamics, especially under intense loads. Furthermore, there is a need to explore the system of structural optimization and seamlessly integrate Finite …