Machine learning unearths signature of slow-slip quake origins in seismic data
(DOE/Los Alamos National Laboratory) Combing through historical seismic data, researchers using a machine learning model have unearthed distinct statistical features marking the formative stage of slow-slip ruptures in the earth's crust months before tremor or GPS data detected a slip in the tectonic plates.
Source: EurekAlert! - Biology - Category: Biology Source Type: news
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