Fluid-mechanical and morphological parameters are recognized as major factors in the rupture risk of human aneurysms. On the other hand, it is well known that a lot of machine learning tools are available to study a variety ...

The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrologic and environmental applications for characterizing the uncertainty about the unsampled values of regionalized attributes. ...

Sequential Simulation is a well known method in geostatistical modelling. Following the Bayesian approach for simulation of conditionally dependent random events, Sequential Indicator Simulation (SIS) method draws simulated ...

This paper uses agent based simulation to assess the effect of redesigning the points of access to a major public hospital complex in Chile, where nearly 15,000 people will pass through daily. The study is carried out by ...

© 2018 IOP Publishing Ltd. A general mathematical expression to estimate the temperature in computer simulations of constrained systems is obtained. Using a recently derived theorem which relates the ensemble average of ...

A novel parallel simulation algorithm on the GPU, implemented in CUDA and C++, is presented for the simulation of Brownian particles that display excluded volume repulsion and interact with long and short range forces. ...

The plurigaussian model is currently used for simulating geological domains (facies) in petroleum reservoirs and mineral deposits, with the aim of assessing the uncertainty in the domain boundaries and of improving the ...

The use of computational fluid dynamics gives new and interesting insights for risk analysis of crosscountry ore hydraulic transport operations. In particular, they offer the possibility to predict, with reasonable accuracy, ...

Objective. To create a computerized model and simulation of the patient visit/referrals process for a health care services organization within Chile's public health care system. Methods. The study was performed with a ...