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- W2097195331 abstract "In this article we summarize a pattern recognition workflow to automatically detect avalanche events from passive seismic data collected from geophones near Davos, Switzerland during the 2010-2011 snow season. Our workflow consists of three steps: 1) spectral flux based event selection, 2) feature extraction, and 3) classification. The results are quite promising: our workflow achieves 93% overall classification accuracy with 13% precision for detecting avalanches for the entire season." @default.
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- W2097195331 date "2012-01-01" @default.
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- W2097195331 title "Automatically Finding Avalanches in Geophone Data: A Pattern Recognition Workflow" @default.
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