2015
DOI: 10.1093/gji/ggv320
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The Virtual Quake earthquake simulator: a simulation-based forecast of the El Mayor-Cucapah region and evidence of predictability in simulated earthquake sequences

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Cited by 17 publications
(8 citation statements)
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“…In this experiment, the scene simulation is carried out, because the natural weather phenomenon in nature is the most representative irregular entity, the experimental simulation of snow scene simulation and the scene simulation of fireworks discharge in reality. The effectiveness of this method is verified by analyzing the effect of scene simulation, the detection accuracy of collision in the scene, the time-consuming of scene simulation through the method of this paper, the method of Yoder et al (2018) and the method of Levac (2017).…”
Section: Experimental Analysismentioning
confidence: 95%
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“…In this experiment, the scene simulation is carried out, because the natural weather phenomenon in nature is the most representative irregular entity, the experimental simulation of snow scene simulation and the scene simulation of fireworks discharge in reality. The effectiveness of this method is verified by analyzing the effect of scene simulation, the detection accuracy of collision in the scene, the time-consuming of scene simulation through the method of this paper, the method of Yoder et al (2018) and the method of Levac (2017).…”
Section: Experimental Analysismentioning
confidence: 95%
“…As can be seen from the analysis Figure 7, the detection accuracy of the collision in the scene simulation using three methods is not the same. When the number of simulation scenes is 2, the detection accuracy of this method is about 81%, that of Yoder et al (2018) method is about 67%, and that of Levac (2017) method is about 49%. When the number of simulation scenes is 8, the detection accuracy of this method is about 98%, that of Yoder et al (2018) method is about 90%, and that of Levac (2017) method is about 88%.…”
Section: Experimental Analysismentioning
confidence: 96%
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