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Physiology-driven reversible dynamic synthetic tissue model for responsive moulage in infected wound training. [PDF]
Gong AT +10 more
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Comparison of fluoroscopy time and procedure time of endovascular interventions with and without prior angiography simulator training: a meta-analysis. [PDF]
Meine TC +4 more
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Development and evaluation of a low-cost 3D-printed simulator for ossicular prosthesis placement. [PDF]
Loustaunau F +5 more
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Evaluating consistency of radiomic features derived from CT images: A cross-center phantom study. [PDF]
Tu L +5 more
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Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models [PDF]
Global sensitivity analysis aims at quantifying the impact of input variability onto the variation of the response of a computational model. It has been widely applied to deterministic simulators, for which a set of input parameters has a unique ...
Xujia Zhu, Bruno Sudret
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ACM SIGGRAPH 2007 sketches, 2007Over the last couple of years, Rhythm and Hues Studios developed various fluid simulations techniques, which can be combined in a flexible process to maximize the ability to manipulate and art direct each step. This workflow was successfully developed and applied on recent feature work such as "Superman Returns" and "Happy Feet".
Markus Kurtz, Jerry Tessendorf
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Simulating Hospital Merger Simulations*
The Journal of Industrial Economics, 2018We perform a Monte Carlo experiment to assess the performance of three hospital merger simulation methods. Our analysis proceeds as follows: (i) specify a theoretical model of hospital markets and use it to generate “true” price effects for many simulated mergers; (ii) for each simulated merger, generate data of the kind commonly available in real ...
David J. Balan, Keith Brand
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American Journal of Mathematical and Management Sciences, 1988
SYNOPTIC ABSTRACTThe principal shortcoming of simulated annealing (SA) is that it takes too much computer time. We present a few “swindling” ideas for speeding up SA by simulating its action on a problem. The increase in speed is attained at the cost of decreasing generality — the methods all require the use of problem-specific information.
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SYNOPTIC ABSTRACTThe principal shortcoming of simulated annealing (SA) is that it takes too much computer time. We present a few “swindling” ideas for speeding up SA by simulating its action on a problem. The increase in speed is attained at the cost of decreasing generality — the methods all require the use of problem-specific information.
openaire +1 more source

