Penelitian ini akan membandingkan dua algoritma klasifikasi yaitu K-Nearest Neighbour
dan Naive Bayes Classifier pada data-data aktivitas status gunung berapi yang ada di …

The research for develo** an automatic recognition system of volcanic microearthquakes
have been an important task around the world, based on this, the aim of this paper is to …

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

Seismicity at restless volcanoes commonly features a variety of signal types reflecting both
volcanotectonic and fluid‐driven source processes. However, traditional catalogs of …

Geophysics experts are interested in understanding the behavior of volcanoes and
forecasting possible eruptions by monitoring and detecting the increment on volcano …

This article proposes a new volcano seismic signal descriptor for improving the area under
the receiver operating characteristic curve (AUC) in the classification of long-period (LP) and …

Seismicity offers valuable information on the internal activity of volcanoes and the
interpretation of seismic signals is crucial for volcano monitoring. As the seismic signal is …

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 …

This paper proposes an exhaustive evaluation of five different filter-based feature selection
methods in combination with a Gaussian mixture model classifier for the classification of …

In the seismic event classification, determining the seismic features of rockfall is significantly
important for the automatic classification of seismic events because of the huge amount of …