particle swarm optimization method (Dassault Systemes)
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Dassault Systemes
particle swarm optimization method
Particle Swarm Optimization Method, supplied by Dassault Systemes, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/particle+swarm+optimization+method/particle+swarm+optimization+method/pm39422840-72-28-36
Average 90 stars, based on 1 article reviews
Particle Swarm Optimization Method, supplied by Dassault Systemes, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/particle+swarm+optimization+method/particle+swarm+optimization+method/pm39422840-72-28-36
Average 90 stars, based on 1 article reviews
particle swarm optimization method - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Adaptation of Aortic Bioprosthetic Valves for Pulmonary Position: Comparative Analysis of Transcatheter and Surgical Valves. Article Snippet: Pulmonary valve dysfunction is common in congenital heart disease, often leading to interventions like right ventricular outflow tract reconstruction.. Transcatheter pulmonary valve replacement (TPVR) has emerged as a successful alternative to surgery, showcasing promising outcomes for managing postoperative RVOT complications.. The study aimed to compare two bioprosthetic valves—Carpentier Edwards Perimount Magna Ease surgical valve and Edwards SAPIEN 3 transcatheter valve—originally designed for aortic use but adapted for pulmonary applications. Article Title: Characterization of three-dimensional anisotropic heart valve tissue mechanical properties using inverse finite element analysis. Article Snippet: Author’s Accepted Manuscript Characterization of three–dimensional anisotropic heart valve tissue mechanical properties using inverse finite element analysis Mostafa Abbasi, Mohammed S. Barakat, Koohyar Vahidkhah, Ali N. Azadani PII: S1751-6161(16)30103-5 DOI: http://dx.doi.org/10.1016/j.jmbbm.2016.04.031 Reference: JMBBM1898 To appear in: Journal of the Mechanical Behavior of Biomedical Materials Received date: 13 January 2016 Revised date: 18 April 2016 Accepted date: 25 April 2016 Cite this article as: Mostafa Abbasi, Mohammed S. Barakat, Koohyar Vahidkhah and Ali N. Azadani, Characterization of three–dimensional anisotropic heart valve tissue mechanical properties using inverse finite element analysis, Journal of the Mechanical Behavior of Biomedical Materials, http://dx.doi.org/10.1016/j.jmbbm.2016.04.031 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Article Title: A Non-Invasive Material Characterization Framework for Bioprosthetic Heart Valves. Article Snippet: Computational modeling and simulation has become more common in design and development of bioprosthetic heart valves.. To have a reliable computational model, considering accurate mechanical properties of biological soft tissue is one of the most important steps.. The goal of this study was to present a non-invasive material characterization framework to determine mechanical propertied of soft tissue employed in bioprosthetic heart valves. Software:Article Title: Optimization of replacement heart valve leaflets Article Snippet: Turning back to FIG. 2, after the large deformation analysis of the 3D TAV model under physiological loading (as shown in step 207), the output of the file of the computational model (the ABAQUS output file, in this case), was input into MATLAB again in step 208, this time to extract the stress values. .. Then, at step 210, the maximum Von Mises stress values were used as an input to an algorithmic method known as a “particle swarm optimization method,” which is a built-in |