Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting

Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting

Advancing the capabilities of earthquake nowcasting, the real-time forecasting of seismic activities, remains crucial for reducing casualties. This multifaceted challenge has recently gained attention within the deep learning domain, facilitated by the availability of extensive earthquake datasets....

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Bibliographic Details
Main Authors: Alireza Jafari, Geoffrey Fox, John B. Rundle, Andrea Donnellan, Lisa Grant Ludwig
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:GeoHazards
Subjects:
deep learning
earthquake nowcasting
foundation models
transformers
pre-trained models
graph neural networks
Online Access:https://www.mdpi.com/2624-795X/5/4/59
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