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A robust method for microseismic event detection based on automatic phase pickers
(Elsevier Science, 2013-08)
We present a robust method for the automatic detection and picking of microseismic events that consists of two steps. The first step provides accurate single-trace picks using three automatic phase pickers adapted from ...
Automatic Detection of Slow Slip Events Using the PICCA: Application to Chilean GNSS Data
(Frontiers in Earth Science, 2022)
Fast and automatic microseismic phase-arrival detection and denoising by pattern recognition and reduced-rank filtering
(Society of Exploration Geophysicists, 2015-07)
We have developed a fast method that allowed us to automatically detect and denoise microseismic phase arrivals from 3C multichannel data. The method is a two-step process. First, the detection is carried out by means of ...
Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models
(Elsevier, 2016)
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state ...
Automatic Fault Detection in a Cascaded Transformer Multilevel Inverter Using Pattern Recognition Techniques
(Lecture notes in Computer Science, 2020)
Detection of epileptic events in eeg using wavelets
(Pontificia Universidad Católica del PerúPE, 2017)
Automatic classification of volcano seismic signatures
(American Geophysical Union, 2018-12)
The prediction of volcanic eruptions and the evaluation of associated risks remain a timely and unresolved issue. This paper presents a method to automatically classify seismic events linked to volcanic activity. As increased ...