Mon. May 26, 2025 10:45 AM - 12:15 PM 201A (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology), Chairperson:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology)

Mon. May 26, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

[J] Poster
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology)

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

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

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

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)

Mon. May 26, 2025 3:30 PM - 5:00 PM 105 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

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

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:Yutaro Okada(International Research Institute of Disaster Science), Makoto Naoi(Hokkaido University)

Mon. May 26, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

[J] Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

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

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)

Mon. May 26, 2025 9:00 AM - 10:30 AM Convention Hall (CH-A) (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD03] Crustal Deformation

9:15 AM - 9:30 AM

[SGD03-02] Velocity Field Clustering Using Objective Weights in a Distance Metric

*Momo Hayashi¹, Masayuki Kano², Keisuke Yano³, Atsushi Takahashi⁴, Yoshikazu Terada⁵ (1.Tokyo University of Science, 2.Tohoku University, 3.Institute of Statistical Mathematics, 4.RIKEN, 5.The University of Osaka)

Mon. May 26, 2025 10:45 AM - 12:15 PM 201A (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

12:00 PM - 12:15 PM

[STT43-06] Site selection based on Bayesian sensitivity
for earthquake early warning

*Keisuke Yano¹, Masumi Yamada², Stephen Wu¹, Koji Tamaribuchi³ (1.The Institute of Statistical Mathematics, 2.Kyoto University, Disaster Prevention Research Institute, 3.Japan Meteorological Agency)

Wed. May 28, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

[E] Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG45] Science of slow-to-fast earthquakes

5:15 PM - 7:15 PM

[SCG45-P33] On the recurrence of slow slip events using the Brownian Passage Time distribution: Four case studies in Japan

*Keisuke Yano¹, Masayuki Kano², Takane Hori³, Keisuke Ariyoshi³ (1.The Institute of Statistical Mathematics, 2.Tohoku university, 3.Japan Agency for Marine-Earth Science and Technology)

Mon. May 26, 2025 3:30 PM - 5:00 PM 105 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

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

4:30 PM - 4:45 PM

[SCG60-09] Methodological development of fault slip detection from GNSS using deep learning and application to western Shikoku

*Ryo Nakagawa¹, Yo Fukushima^1,2, Masayuki Kano¹, Keisuke Yano³, Yusuke Tanaka¹, Yutaro Okada², Kazuro Hirahara^4,5 (1.Graduate School of Science and Faculty of Science, Tohoku University, 2.International Research Institute of Disaster Science, Tohoku University, 3.Institute of Statistical Mathematics, 4.RIKEN, 5.Kagawa University)

Keisuke Yano

Convener, Chairperson

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

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

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

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

Speaker, Author, Co-Author

[S-GD03] Crustal Deformation

[SGD03-02] Velocity Field Clustering Using Objective Weights in a Distance Metric

[S-TT43] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT43-06] Site selection based on Bayesian sensitivity
for earthquake early warning

[S-CG45] Science of slow-to-fast earthquakes

[SCG45-P33] On the recurrence of slow slip events using the Brownian Passage Time distribution: Four case studies in Japan

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

[SCG60-09] Methodological development of fault slip detection from GNSS using deep learning and application to western Shikoku