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TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kannapinn, Maximilian, Schäfer, Michael, Weeger, Oliver
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Artificial Intelligence Systems and Control Dynamical Systems
Online Access:	Acceder al recurso
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