Near-real-time automated classification of seismic signals of slope failures with continuous random forests

HIGHLIGHTS

  • who: Nat. Hazards Earth Syst. and collaborators from the of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zürich, Switzerland have published the paper: Near-real-time automated classification of seismic signals of slope failures with continuous random forests, in the Journal: (JOURNAL)
  • what: The authors investigate algorithm performance for signal classification into noise (NO) slope failure (SF) and earthquake (EQ) classes and explore the influence of non-ideal though commonly encountered conditions: poor network coverage imbalanced data sets and low signal-to-noise ratios (SNRs). The study shows that even for limited training data . . .

     

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