Exploring the potential of transfer learning for metamodels of heterogeneous material deformation

From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tissue behavior is well understood, the exact subject specific spatial distribution of material properties is often unknown. And, when developing computational models of biological tissue, it is usually p...

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Bibliographische Detailangaben

Hauptverfasser:	Lejeune, Emma, Zhao, Bill
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Data Analysis, Statistics and Probability Quantitative Biology - Tissues and Organs
Online-Zugang:	Volltext bestellen
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