Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models

Author:

Bhatti Sohail Masood,Khan Muhammad Salman,Wuth Jorge,Huenupan Fernando,Curilem Millaray,Franco Luis,Yoma Nestor Becerra

Funder

CONICYT

PIA, Anillo project

FONDEF IDeA

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference24 articles.

1. Signal classification by wavelet-based hidden Markov models: application to seismic signals of volcanic origin;Alasonati,2006

2. Continuous HMMs-based seismic event classification at Deception Island, Antarctica;Benítez;IEEE Trans. Geosci. Remote Sens.,2007

3. Continuous earthquake detection and classification using discrete hidden Markov models;Beyreuther;Geophys. J. Int.,2008

4. Hidden semi-Markov model based earthquake classification system using weighted finite-state transducers;Beyreuther;Nonlinear Process. Geophys.,2011

5. Continuous hidden Markov models: application to automatic earthquake detection and classification at Las Cañadas caldera, Tenerife;Beyreuther;J. Volcanol. Geotherm. Res.,2008

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2. Dilated-RNNs: A Deep Approach for Continuous Volcano-Seismic Events Recognition;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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