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

In this work, we present the development, description, and performance evaluation of two
volcano seismological datasets: one containing raw seismic signals (MicSigV1) and another …

The causes of ventricular fibrillation (VF) are not yet elucidated, and it has been proposed
that different mechanisms might exist. Moreover, conventional analysis methods do not …

Abstract The Ring of Fire represents a constant threat in the case of possible eruptions due
to its 160 active volcanoes. Consequently, several studies have determined that an increase …

The Normalized Hotspot Indices (NHI) is a multi-channel algorithm developed to map
thermal anomalies through the Multispectral Instrument onboard the Sentinel-2 satellite and …

We present a novel approach to locate microseismic sources in situ and in real time in
distributed sensor networks (DSN). We propose a distributed reverse time migration (RTM) …

Continuous monitoring of active volcanoes is essential for understanding their behavior and
providing accurate forecasts and warnings. Automating the detection of volcano …

Microseism classification is primordial to easily identify what type of event we are facing at in
a possibly dangerous situation. However, labeling events is a hard and time-consuming task …

Voice data is of special interest to organizational behavior researchers since it can be easily
collected and provides a wealth of information for understanding interpersonal dynamics …

We define a new feature called Teager Energy to Energy and mathematically show that it
provides distinguished values for pure tone and white noise signals. We then employ the …