The EEW has deployed sensors for measuring quakes in many areas.
该地震早期预警系统在很多地区部署了测量地震的传感器。
This paper USES a Bayesian probabilistic approach to handle multiple concurrent events for EEW.
本文采用贝叶斯概率方法来处理EEW面对多个并发事件情况。
Our algorithm results in over 90 per cent reduction in the number of incorrect warnings compared to the existing EEW system operating in Japan.
与现有的在日本运行的地震早期预警系统相比，我们的算法减少了90 %的错误预警。
Our algorithm results in over 90 per cent reduction in the number of incorrect warnings compared to the existing EEW system operating in Japan.
与现有的在日本运行的地震早期预警系统相比，我们的算法减少了90 %的错误预警。
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