[S-CG50] Driving Solid Earth Science through Machine Learning

Mon. May 27, 2024 9:00 AM - 10:15 AM Convention Hall (CH-B) (International Conference Hall, Makuhari Messe)

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Kazuki Ohtake(Earthquake Research Institute, The University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience)

Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We invite a wide range of presentations on ML and related research, from the budding to the more advanced.

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9:00 AM - 9:15 AM

[SCG50-01] Retraining of Neuro picker based on JMA unified seismic catalog

*Makoto Naoi¹, Koji Tamaribuchi², Shukei Ohyanagi³, Shinya Katoh⁴ (1.Hokkaido University, 2.Meteorological Research Institute, 3.Kyoto University, 4.The University of Tokyo)

9:15 AM - 9:30 AM

[SCG50-02] Multiscale Fault Estimation in California and Oklahoma

*Yasunori Sawaki¹, David R. Shelly², Takahiko Uchide¹, Kodai Sagae¹, Takahiro Shiina¹, Yoshihiro Sato^3,4, Haruo Horikawa¹ (1.Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 2.Geologic Hazards Science Center, United States Geological Survey, 3.Faculty of Design and Data Science, Tokyo City University, 4.Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST))