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Simulation in paediatric urology and surgery, part 2: an overview of simulation modalities and their applications
(Elsevier, 2018-04)
Surgical training has changed radically in the last few decades. The traditional Halstedian model of time-bound apprenticeship has been replaced with competency-based training. In our previous article, we presented an ...
Simulation in paediatric urology and surgery. Part 1: an overview of educational theory
(Elsevier, 2018-04)
Surgical training has changed radically in the last few decades. The traditional Halstedian model of time-bound apprenticeship has been replaced with competency-based training. Advanced understanding of mastery learning ...
Nonparametric Geostatistical Simulation of Subsurface Facies: Tools for Validating the Reproduction of, and Uncertainty in, Facies Geometry
(Springer New York LLC, 2019)
© 2018, International Association for Mathematical Geosciences.Delineation of facies in the subsurface and quantification of uncertainty in their boundaries are significant steps in mineral resource evaluation and reservoir ...
Boreholes plans optimization methodology combining geostatistical simulation and simulated annealing
(Elsevier, 2017)
Nowadays, the prospection plans have the difficult task of ensuring a more complete and rich characterization of the rock mass for the purpose of optimizing costs and increasing safety in geotechnical projects. Currently, ...
A simulation-optimization framework for short-term underground mine production scheduling
(Springer, 2020)
Mine operations are supported by a short-term production schedule, which defines where and when mining activities are performed. However, deviations can be observed in this short-term production schedule because of several ...
Improving power system reliability through optimization via simulation
(IEEE, 2017)
Due to the stochastic nature of equipment failures, the accurate assessment of power system reliability is a complex task. Consequently, the optimal selection of new network infrastructure to improve reliability is even ...
COMPUTATIONAL STUDY on the RUPTURE RISK in REAL CEREBRAL ANEURYSMS with GEOMETRICAL and FLUID-MECHANICAL PARAMETERS USING FSI SIMULATIONS and MACHINE LEARNING ALGORITHMS
(World Scientific Publishing Co. Pte Ltd, 2019)
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 ...
Assessing the accuracy of sequential gaussian simulation through statistical testing
(Springer, 2017)
Sequential Gaussian simulation is one of the most widespread algorithms for simulating regionalized variables in the earth sciences. Simplicity and flexibility of this algorithm are the most important reasons that make it ...
Construct validity of a virtual reality simulator for surgical training in knee arthroscopy
(Cureus, 2021)
Objective
Surgical techniques are learned gradually throughout an orthopedic residency. Training on real patients carries drawbacks such as limited access and elevated risk. Alternatively, surgical simulation allows ...
Combining simulation and reality in evolutionary robotics
(2007)
Evolutionary Robotics (ER) is a promising methodology, intended for the autonomous development of robots, in which their behaviors are obtained as a consequence of the structural coupling between robot and environment. It ...