Sun. May 25, 2025 10:45 AM - 12:15 PM Exhibition Hall Special Setting (1) (Exhibition Hall 7&8, Makuhari Messe)

[J] Oral
| U (Union )
| Union

[U-13] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Yukihiro Takahashi(Department of Cosmosciences, Graduate School of Science, Hokkaido University), Yusuke Iida(Niigata University), Masuo Nakano(Japan Agency for Marine-Earth Science and Technology), Chairperson:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Yukihiro Takahashi(Department of Cosmosciences, Graduate School of Science, Hokkaido University), Yusuke Iida(Niigata University), Masaru Nakano(Japan Agency for Marine-Earth Science and Technology)

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 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

11:45 AM - 12:00 PM

[STT43-05] Acquisition of a Stochastic Differential Equation Representation for Slow Earthquakes via Deep Learning to Deepen Phenomenological Understanding

*Toshiro Kusui², Hiromichi Nagao¹, Shin-ichi Ito¹, Shinya Katoh¹, Tokuda Tomoki¹ (1.Earthquake Research Institute, 2.Graduate School of Information Science and Technology, The University of Tokyo)

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

5:15 PM - 7:15 PM

[STT43-P01] Creation of training and validation datasets of Distributed Acoustic Sensing recordings from Sanriku seafloor observation system, Japan.

*Gerardo Manuel Mendo Perez¹, Hiromichi Nagao¹, Shinya Katoh¹, Masanao Shinohara¹ (1.Earthquake Research Institute, The University of Tokyo)

5:15 PM - 7:15 PM

[STT43-P02] Seismic detection based on combination of station-wise phase picks by deep learning and application to dense seismic observation network data

*Tokuda Tomoki¹, Shutaro Sekine², Shintaro Abe², Naoshi Hirata¹, Hiromichi Nagao¹ (1.Earthquake Research Institute, The University of Tokyo, 2.Association for the Development of Earthquake Prediction)

5:15 PM - 7:15 PM

[STT43-P04] PoViT-UQ : P-wave Polarity and Arrival Time Determination using Vision Transformer with Uncertainty Quantification

*Shinya Katoh¹, Hiromichi Nagao¹, Yoshihisa Iio² (1.Earthquake Research Institute,The University of Tokyo, 2.ABUYAMA Seismological MUSEUM)

Hiromichi Nagao

Convener, Chairperson

[U-13] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

[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

Speaker, Author, Co-Author

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

[STT43-05] Acquisition of a Stochastic Differential Equation Representation for Slow Earthquakes via Deep Learning to Deepen Phenomenological Understanding

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

[STT43-P01] Creation of training and validation datasets of Distributed Acoustic Sensing recordings from Sanriku seafloor observation system, Japan.

[STT43-P02] Seismic detection based on combination of station-wise phase picks by deep learning and application to dense seismic observation network data

[STT43-P04] PoViT-UQ : P-wave Polarity and Arrival Time Determination using Vision Transformer with Uncertainty Quantification