Real-time numerical prediction of strain localization using dictionary-based ROM-nets for sitting-acquired deep tissue injury prevention-Reference-Cited by-同舟云学术

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Real-time numerical prediction of strain localization using dictionary-based ROM-nets for sitting-acquired deep tissue injury prevention

Published:2023 Issue: Volume: Page:385-402
ISSN:
Container-title:Reduced Order Models for the Biomechanics of Living Organs
language:
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Author:

Rohan Pierre-Yves,Fougeron Nolwenn^ORCID,Keenan Bethany,Pillet Hélène,Laporte Sébastien,Osipov Nikolay,Ryckelynck David

Publisher

Elsevier

Reference58 articles.

1. Development and validation of a high anatomical fidelity FE model for the buttock and thigh of a seated individual;Al-Dirini;Annals of Biomedical Engineering,2016

2. Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences;Alber;npj Digital Medicine,2019

3. PEBL-ROM: projection-error based local reduced-order models;Amsallem;Advanced Modeling and Simulation in Engineering Sciences,2016

4. Nonlinear model order reduction based on local reduced-order bases;Amsallem;International Journal for Numerical Methods in Engineering,2012

5. Modern Multidimensional Scaling: Theory and Applications;Borg,2005

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In vivo mechanical response of thigh soft tissues under compression: A two-layer model allows an improved representation of the local tissue kinematics;Journal of the Mechanical Behavior of Biomedical Materials;2024-08

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