崩塌与落石作为岩质边坡破坏与诱发的典型地质灾害, 往往具有突发性, 隐蔽性和缺乏明显直接
的前兆信息, 很难做到准确和及时的应急响应, 存在巨大的安全隐患. 微震技术依靠远程无接触 …

Classifying seismic signals into their corresponding types of volcanic earthquakes is among
the most important tasks for monitoring volcano activity. Such a duty must be routinely …

The automated classification of seismic volcanic signals has been faced with several
different pattern recognition approaches. Among them, hidden Markov models (HMMs) have …

Volcán de Colima, the most active volcano in Mexico, started a new eruptive cycle in
January 2013. Since this date, the volcano has presented effusive and explosive activity …

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 …

Seismic event detection is a key element for volcano monitoring systems. Real-time event
detection is required by early warning monitoring systems in order to minimize the possible …

We present a method for automatic seismic event detection and classification, focusing on
volcanic-seismic signals by means of the validity of the hidden Markov modeling (HMM) …

Seismic events in and around volcanos, like tremors, earth quakes, ice quakes and strokes
of lightning, are usually observed by multiple stations. The question rises whether classifiers …

Rockfall is characterized by the high occurrence and great destructive damage to people
and infrastructure, given the lack of noticeable forerunners and complex mechanisms that …

Los eventos sísmicos tienen una gran variedad de clases, las cuales se manifiestan en
mayor o menor frecuencia dependiendo del volcán en estudio. En este artículo se presenta …