[S-CG60] Driving Solid Earth Science through Machine Learning

Mon. May 26, 2025 1:45 PM - 3:15 PM 105 (International Conference Hall, Makuhari Messe)

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Makoto Naoi(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics), Yusuke Tanaka(Geospatial Information Authority of Japan), Chairperson:Yusuke Tanaka(Tohoku University), 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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1:45 PM - 2:00 PM

[SCG60-01] Pioneering the Use of Large Language Models in Earthquake Research

*Hisahiko Kubo¹, Wu Stephen², Masayuki Kano³, Shinya Katoh⁴, Atsuko Oana⁵, Tomohisa Okazaki⁶, Nozomi Okada⁷, Nobuki Kame⁴, Yuki Kodera⁸, Daisuke Sato⁹, Takahiro Shiina¹⁰, Kengo Shimojo⁸, Koji Tamaribuchi¹¹, Makoto Naoi¹², Ryuichi Nishiyama⁴, Kazuro Hirahara^6,13, Takashi Miyamoto ¹⁴, Masumi Yamada¹⁵ (1.National Research Institute for Earth Science and Disaster Resilience, 2.The Institute of Statistical Mathematics, 3.Tohoku University, 4.Earthquake Research Institute, The University of Tokyo, 5.Institute of Technology, Shimizu Corporation, 6.Center for Advanced Intelligence Project, RIKEN , 7.Shizuoka University, 8.Meteorological Research Institute, 9.Japan Agency for Marine-Earth Science and Technology, 10.National Institute of Advanced Industrial Science and Technology, 11.Japan Meteorological Agency , 12. Hokkaido University , 13.Kagawa University, 14.University of Yamanashi, 15.Disaster Prevention Research Institute, Kyoto University)

2:00 PM - 2:15 PM

[SCG60-02] Developing anomaly detection method for InSAR time series with the aim of unknown slow-slip event detection

*Ryunosuke Sakurai¹, Yohei Kinoshita¹ (1.University of Tsukuba)

2:15 PM - 2:30 PM

[SCG60-03] Development of anomaly detection using tensor decomposition: An approach based on time series variation data.

*Harigai Shunto¹, Hiroyuki Nagahama¹, Jun Muto¹ (1.Touhoku University)

2:30 PM - 2:45 PM

[SCG60-04] Trend Extraction from Time Series Data Using the State Space Model and Its Application to Anomaly Detection

*Mayu Tsuchiya¹, Hiroyuki Nagahama¹, Jun Muto¹, Yumi Yasuoka² (1.Department of Earth Sciences, Tohoku University, 2.Radioisotope Research Center, Kobe Pharmaceutical University)

2:45 PM - 3:15 PM

[SCG60-05] Advancing Remote Sensing and Point Cloud Processing through Machine Learning

★Invited Papers

*Takayuki shinohara¹ (1.AIST)

Session information