A. Ifantis, V. Nikolaidis, and G. Economou (Greece)
Geoelectric signals, earthquakes, feature extraction, and clustering.
This work focuses on the automated extraction and selection of features, applied to geoelectric signals recorded over four years of data acquisition. Characteristics of the signal are extracted using 24-hour period signal segments. As an initial step towards a complete pattern recognition schema, the process seeks signal characteristics that may be correlated to seismic activity. Low and high magnitude seismic information is used to bias the feature selection process towards this goal. Some results produced by this investigation are also demonstrated.
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