- 1.6Impact Factor
- 2.2CiteScore
- 18 daysTime to First Decision
GeoHazards, Volume 5, Issue 4
December 2024 - 17 articles
Cover Story: Earthquakes pose a significant risk globally, yet accurately predicting their occurrence remains a scientific challenge. This paper investigates multiple state-of-the-art temporal, spatial, and spatiotemporal AI models for earthquake nowcasting, integrating advanced deep learning architectures and foundation models. Additionally, the study introduces two innovative models, Multi Foundation Quake and GNNCoder, designed to capture intricate spatial and temporal patterns in seismic activity in Southern California. The models use seismic records to integrate pre-trained foundation architectures with bespoke patterns and graph-based learning techniques. The findings highlight our new models’ superior performance over existing methods. This research provides a transformative step in utilizing AI for seismic prediction models, showcasing a multidisciplinary understanding of earthquake dynamics. View this paper
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Articles
There are no articles in this issue yet.
Get Alerted
Add your email address to receive forthcoming issues of this journal.
GeoHazards - ISSN 2624-795X