Forecasting eruptions is a fundamental goal of volcanology. However, difficulties in
identifying eruptive precursors, fragmented approaches and lack of resources make eruption …

Tsunamis generated by volcanic eruptions have risen to prominence since the December
2018 tsunami generated by the flank collapse of Anak Krakatau during a moderate eruption …

The seismic noise recorded by the Interior Exploration using Seismic Investigations,
Geodesy, and Heat Transport (InSight) seismometer (Seismic Experiment for Interior …

Volcanic eruptions pose significant risks, demanding precise monitoring for timely hazard
mitigation. However, interpreting noisy seismic data for eruptive precursors remains …

We develop a machine learning approach to detect and discriminate elephants from other
species, and to recognise important behaviours such as running and rumbling, based only …

Automatic detection of seismic events in ocean bottom seismometer (OBS) data is difficult
due to elevated levels of noise compared to the recordings from land. Popular deep-learning …

Abstract Although Artificial Intelligence (AI) projects are common and desired by many
institutions and research teams, there are still relatively few success stories of AI in practical …

Explosive volcanic blasts can occur suddenly and without any clear precursors. Many
volcanoes have erupted in the last years with no evident change in the eruptive parameters …

Polar regions and Greenland in particular are highly sensitive to global warming. Impacts on
Greenland's glaciers may be observed through the increasing number of calving events …

This study examines the feature space of seismic waveforms often used in machine learning
applications for seismic event detection and classification problems. Our investigation …