The last effusive eruption on February 27, 2007 at Stromboli volcano was characterized by the occurrence of a particular typology of seismic events named “hybrids”. During March about 4000 of these signals were recorded, and three main swarms happened: the first one on days 6-8, with more than 1200 events; the second one on day 20, with more than 400 events; and the third one on day 22, with about 600 events. The study of these events and specifically their location is the main purpose of this work because it not only characterizes a particular aspect of the 2007 effusive eruption but at the same time can improve the understanding of the eruptive processes of the volcano. Thus, in order to locate them it was first necessary to grou...
Artificial Intelligence (AI) has found broad applications in volcano observatories worldwide with th...
Continuous seismic monitoring has achieved a key position in monitoring active volcanoes. However, i...
This study presents a neural-based algorithm for the automatic detection of landslides on Stromboli...
The last effusive eruption on February 27, 2007 at Stromboli volcano was characterized by the occurr...
In this work we analyzed distinctive seismic events known as hybrid events. They were observed at St...
In the period from June to September 2011, the Stromboli volcano was affected by an activity charact...
Stromboli volcano is considered one of the most active volcanoes in the world. During its effusive ...
We have implemented a method based on an unsupervised neural network to cluster the waveforms of ver...
We have implemented a method based on an unsupervised neural network to cluster the waveforms of ver...
Stromboli is considered one of the most active volcanoes in the world, and its persistent but modera...
States of volcanic activity at Mt Etna develop in well-defined regimes with variable duration from a...
The availability of the new computing techniques allows to perform advanced analysis in near real t...
In this study, an automatic pattern recognition approach is developed for the classification of vol...
The availability of the new computing techniques allows to perform advanced analysis in near real t...
The characterization of volcano state is not a simple task due the complexity of physics processes u...
Artificial Intelligence (AI) has found broad applications in volcano observatories worldwide with th...
Continuous seismic monitoring has achieved a key position in monitoring active volcanoes. However, i...
This study presents a neural-based algorithm for the automatic detection of landslides on Stromboli...
The last effusive eruption on February 27, 2007 at Stromboli volcano was characterized by the occurr...
In this work we analyzed distinctive seismic events known as hybrid events. They were observed at St...
In the period from June to September 2011, the Stromboli volcano was affected by an activity charact...
Stromboli volcano is considered one of the most active volcanoes in the world. During its effusive ...
We have implemented a method based on an unsupervised neural network to cluster the waveforms of ver...
We have implemented a method based on an unsupervised neural network to cluster the waveforms of ver...
Stromboli is considered one of the most active volcanoes in the world, and its persistent but modera...
States of volcanic activity at Mt Etna develop in well-defined regimes with variable duration from a...
The availability of the new computing techniques allows to perform advanced analysis in near real t...
In this study, an automatic pattern recognition approach is developed for the classification of vol...
The availability of the new computing techniques allows to perform advanced analysis in near real t...
The characterization of volcano state is not a simple task due the complexity of physics processes u...
Artificial Intelligence (AI) has found broad applications in volcano observatories worldwide with th...
Continuous seismic monitoring has achieved a key position in monitoring active volcanoes. However, i...
This study presents a neural-based algorithm for the automatic detection of landslides on Stromboli...