Dataset Information
Single-station analysis of Campi Flegrei (Italy) seismic signals using multiscale entropy and unsupervised learning.
Ontology highlight
ABSTRACT:
SUBMITTER: Grimaldi A
PROVIDER: S-EPMC12946261 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature
Publications
Single-station analysis of Campi Flegrei (Italy) seismic signals using multiscale entropy and unsupervised learning.
Scientific reports 20260207 1
Seismic activity in volcanic regions such as Campi Flegrei (Italy) provides essential insights into subsurface dynamics and potential hazards. However, high background noise and continuous data volume challenge event detection and classification. Here, we apply a Self-Organizing Map (SOM) approach, combined with Linear Predictive Coding (LPC), STA/LTA ratios, and Multiscale Entropy (MSE), to analyze single-station seismic data. The method successfully identifies uncatalogued events and anomalies ...[more]