The confluence of our ability to handle big data, significant increases in instrumentation
density and quality, and rapid advances in machine learning (ML) algorithms have placed …

BACKGROUND The solid Earth, oceans, and atmosphere together form a complex
interacting geosystem. Processes relevant to understanding Earth's geosystem behavior …

The continuously growing amount of seismic data collected worldwide is outpacing our
abilities for analysis, since to date, such datasets have been analyzed in a human-expert …

Environmental monitoring is a topic of increasing interest, especially concerning the matter
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …

Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

This paper introduces recurrent neural networks (RNN), long short-term memory (LSTM),
and gated recurrent unit (GRU) to detect and classify continuous sequences of volcano …

A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much
progress over the last century, however, volcanoes still erupt with no detected precursors …

Two paroxysmal explosions occurred at Stromboli volcano in the Summer 2019, the first of
which, on July 3, caused one fatality and some injuries. Within the 56 days between the two …

Modern acquisition of seismic data on receiver networks worldwide produces an increasing
amount of continuous wavefield recordings. In addition to manual data inspection …

Variations in the spectral content of volcano seismicity related to changes in volcanic activity
are commonly identified manually in spectrograms. However, long time series of monitoring …