Data-driven modelling of the FRC network for studying the fluid flow in the conduit system-Reference-Cited by-同舟云学术

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Data-driven modelling of the FRC network for studying the fluid flow in the conduit system

Published:2017-06 Issue: Volume:62 Page:341-349
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Savinkov Rostislav,Kislitsyn Alexey,Watson Daniel J.,Loon Raoul van,Sazonov Igor,Novkovic Mario,Onder Lucas,Bocharov Gennady

Funder

Russian Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference39 articles.

1. Pairing experimentation and computational modeling to understand the role of tissue inducer cells in the development of lymphoid organs;Alden;Front. Immunol.,2012

2. Using argument notation to engineer biological simulations with increased confidence;Alden;J. R. Soc. Interface,2015

3. Fibroblastic reticular cells: organization and regulation of the T lymphocyte life cycle;Brown;J. Immunol.,2015

4. Dynamics of pulsatile flow in fractal models of vascular branching networks;Bui;Med Biol. Eng. Comput.,2009

5. Development of optimized vascular fractal tree models using level set distance function;Bui;Med Eng. Phys.,2010

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