Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 2
• Main Authors: Karimpouli, Sadegh, Kwiatek, Grzegorz, Ben‐Zion, Yehuda, Martínez‐Garzón, Patricia, Dresen, Georg, Bohnhoff, Marco
• Format: Journal Article
• Language: English
• Published: 01.06.2024
• Subjects: catalog‐driven features; clustering analysis; earthquake; forecasting; labquake; machine learning

Following recent advances of machine learning (ML), we present a novel approach to extract spatiotemporal seismo‐mechanical features from Acoustic Emission (AE) catalogs to empower ML‐based forecasting. The AE data were recorded during laboratory stick‐slip experiments on granite samples cut by roug...