4 papers
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
Dongwei Ye, Valeria Krzhizhanovskaya, Alfons G. Hoekstra
Parametric reduced-order modelling often serves as a surrogate method for hemodynamics simulations to improve the computational efficiency in many-query scenarios or to perform rea…
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling
Salome Kakhaia, Pavel Zun, Dongwei Ye +1
Disorders of coronary arteries lead to severe health problems such as atherosclerosis, angina, heart attack and even death. Considering the clinical significance of coronary arteri…
Modelling Hospital Strategies in City-Scale Ambulance Dispatching
Xinyu Fu, Valeria Krzhizhanovskaya, Alexey Yakovlev +1
The optimisation in the ambulance dispatching process is significant for patients who need early treatments. However, the problem of dynamic ambulance redeployment for destination…
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory
Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina +3
This paper presents results of topic modeling and network models of topics using the International Conference on Computational Science corpus, which contains domain-specific (compu…