A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations-Reference-Cited by-同舟云学术

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A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations

Published:2023-12 Issue: Volume:152 Page:168-180
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Snyder William,Anaya Alex Santiago,Krometis Justin,Iliescu Traian,De Vita Raffaella^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference49 articles.

1. A prospective observational study on tears during vaginal delivery: occurrences and risk factors;Samuelsson;Acta Obstet. Gynecol. Scand.,2002

2. Childbirth and the pelvic floor: “the gynaecological consequences”;Phillips;Rev. Gynaecolog. Pract.,2005

3. Incidence of and risk factors for perineal trauma: a prospective observational study;Smith;BMC Pregnancy Childbirth,2013

4. Childbirth computational models: characteristics and applications;Chen;J. Biomech. Eng.,2021

5. A biomechanical analysis on the impact of episiotomy during childbirth;Oliveira;Biomech. Model. Mechanobiol.,2016

Cited by 2 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. A finite strain integral model for the creep behavior of vaginal tissue;International Journal of Non-Linear Mechanics;2024-06

2. Pregnancy-induced remodeling of the murine reproductive tract: a longitudinal in vivo magnetic resonance imaging study;Scientific Reports;2024-01-05

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