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

Mon. May 27, 2024 10:45 AM - 12:00 PM 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:Yasunori Sawaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Makoto Naoi(Hokkaido University), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency)

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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10:45 AM - 11:15 AM

[SCG50-05] Recent Trials to Train Large Language Models for Scientific Data and Reasoning

★Invited Papers

*Kan Hatakeyama¹ (1.Tokyo Institute of Technology)

11:15 AM - 11:30 AM

[SCG50-06] Preliminary investigation of the application of large language models to geotechnical problems

*Wu Stephen^1,4, Yu Otake², Daijiro Mizutani², Chang Liu¹, Kotaro Asano², Nana Sato², Taiga Saito², Hidetoshi Baba³, Yusuke Fukunaga⁵, Yosuke Higo³, Akiyoshi Kamura², Shinnosuke Kodama⁶, Masataka Metoki², Tomoka Nakamura², Yuto Nakazato², Akihiro Shioi⁷, Masahiro Takenobu⁸, Keigo Tsukioka⁹, Ryo Yoshikawa³ (1.The Institute of Statistical Mathematics, 2.Tohoku University, 3.Kyoto University, 4.The Graduate University for Advanced Studies, 5.Coastal Development Institute of Technology, 6.Nikken Sekkei Ltd., 7.Kozo Keikaku Engineering Inc., 8.National Institute for Land and Infrastructure Management, 9.Railway Technical Research Institute)

11:30 AM - 11:45 AM

[SCG50-07] Detection of slow slips from seismic wave records using random forest

*Kazuki Ohtake¹, Aitaro Kato¹, Yutaro Okada², Takuya NISHIMURA³ (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Science, Kyoto University, 3.Disaster Prevention Research Institute, Kyoto University)

11:45 AM - 12:00 PM

[SCG50-08] Attention-based Machine Learning Model for Magnitude Estimation

*JI ZHANG¹, Aitaro Kato¹, Huiyu Zhu² (1.Earthquake Research Institute, the University of Tokyo, 2.University of Science and Technology of China)

Session information