Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dongwei Ye"'
Publikováno v:
Computer Graphics Forum. 42:21-32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4809eeb6866f98d4aa452e256fdf3e6
https://doi.org/10.1111/cgf.14714
https://doi.org/10.1111/cgf.14714
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
Publikováno v:
Journal of the Royal Society Interface, 19(187):20210864. The Royal Society
In-Stent Restenosis is a recurrence of coronary artery narrowing due to vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptoms or to an acute coronary syndrome. An uncertainty quantification of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afc54923b80517be4fc177703e7104ec
https://dare.uva.nl/personal/pure/en/publications/uncertainty-quantification-of-a-threedimensional-instent-restenosis-model-with-surrogate-modelling(c0ae80c8-a6fe-4472-a131-9322f5ff8394).html
https://dare.uva.nl/personal/pure/en/publications/uncertainty-quantification-of-a-threedimensional-instent-restenosis-model-with-surrogate-modelling(c0ae80c8-a6fe-4472-a131-9322f5ff8394).html
Disorders of coronary arteries lead to severe health problems such as atherosclerosis, angina, heart attack and even death. Considering the clinical significance of coronary arteries, an efficient computational model is a vital step towards tissue en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db206b1587df8d3d9317fe923a3edecb
Autor:
Vytautas Jancauskas, Peter V. Coveney, Jalal Lakhlili, Diana Suleimenova, Alfons G. Hoekstra, Dongwei Ye, Derek Groen, Michal Kulczewski, Hamid Arabnejad, Pavel Zun, Wouter Edeling, Daan Crommelin, O. O. Luk, Lourens Veen, Valeria V. Krzhizhanovskaya, D. P. Coster
Publikováno v:
Journal of Computational Science, 53
Journal of Computational Science, 53:101402. Elsevier
Journal of Computational Science
Journal of Computational Science, 53:101402. Elsevier
Journal of Computational Science
Copyright © 2021 The Author(s). The VECMA toolkit enables automated Verification, Validation and Uncertainty Quantification (VVUQ) for complex applications that can be deployed on emerging exascale platforms and provides support for software applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233c6694c7fd22a5ccadeddbbf0643b1
https://bura.brunel.ac.uk/handle/2438/26016
https://bura.brunel.ac.uk/handle/2438/26016
Autor:
Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra, Dongwei Ye, Lourens Veen, Anna Nikishova, O. O. Luk, Wouter Edeling, Jalal Lakhlili
Publikováno v:
Philosophical Transactions of the Royal Society A, 379(2197)
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197):20200072. The Royal Society
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197):20200072. The Royal Society
Uncertainty quantification (UQ) is a key component when using computational models that involve uncertainties, e.g. in decision-making scenarios. In this work, we present uncertainty quantification patterns (UQPs) that are designed to support the ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b234ac80ec82f2bbe26fbfba1bac6a0c
https://dare.uva.nl/personal/pure/en/publications/uncertainty-quantification-patterns-for-multiscale-models(839b7f14-e4a7-4429-b15b-456d33a107be).html
https://dare.uva.nl/personal/pure/en/publications/uncertainty-quantification-patterns-for-multiscale-models(839b7f14-e4a7-4429-b15b-456d33a107be).html
Publikováno v:
Reliability Engineering and System Safety, 214:107734. Elsevier Ltd.
Reliability Engineering and System Safety, 214:107734. Elsevier
Reliability Engineering & System Safety
Reliability Engineering and System Safety, 214:107734. Elsevier
Reliability Engineering & System Safety
The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-stenting tissue growth, in which the most costly submodel is the blood flow simulation. This paper presents uncertainty estimations of the response of this model, as o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e13deaa2dc4e22ea3ea4925c1257ec
http://arxiv.org/abs/2009.00354
http://arxiv.org/abs/2009.00354
Publikováno v:
TMR Modern Herbal Medicine. 5:13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71a931166d54d473c6b2761355e5858
https://doi.org/10.53388/mhm2022b0427001
https://doi.org/10.53388/mhm2022b0427001