Mon. May 27, 2024 1:45 PM - 3:00 PM 202 (International Conference Hall, Makuhari Messe)

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

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

2:00 PM - 2:15 PM

[STT38-02] Development of a Deep Low-Frequency Earthquake Detection Method Using Deep Learning with Multiple Traces as Inputs

*Shinya Katoh¹, Hiromichi Nagao¹, Yoshihisa Iio, Hiroshi Katao, Masayo Sawada², Kazuhide Tomisaka² (1.Earthquake Research Institute,The University of Tokyo, 2.Disaster Prevention Research Institute, Kyoto University)

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

5:15 PM - 6:45 PM

[STT38-P05] Event Detection and Classification from Seismic Waveform Data Based on Optimal Transport Theory

Masaki Yanagita^2,1, Tokuda Tomoki¹, Shinya Katoh¹, *Hiromichi Nagao^1,2 (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Information Science and Technology)

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

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

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

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)

Shinya Katoh

Speaker, Author, Co-Author

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT38-02] Development of a Deep Low-Frequency Earthquake Detection Method Using Deep Learning with Multiple Traces as Inputs

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT38-P05] Event Detection and Classification from Seismic Waveform Data Based on Optimal Transport Theory

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

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