Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data

Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data

Volcanic hazard assessment is generally based on past eruptive behavior, assuming that previous activity is representative of future activity. Hazard assessment can be supported by Artificial Intelligence (AI) techniques, such as machine learning, which are used for data exploration to identify feat...

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Bibliographic Details
Main Authors: Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Geosciences
Subjects:
machine learning
artificial intelligence
Etna volcano
effusive eruptions
volcanic hazard
K-means clustering
Online Access:https://www.mdpi.com/2076-3263/14/11/295
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