Session Details
[P21]AI for Earthquake Science
Wed. Nov 4, 2026 5:30 PM - 7:00 PM JST
Wed. Nov 4, 2026 8:30 AM - 10:00 AM UTC
Wed. Nov 4, 2026 8:30 AM - 10:00 AM UTC
Room P21 (802ー805) (8F)
[P21-01]Context-Aware Classification and Source Location of Tectonic Tremor Using Long-Duration Single-Station Waveforms
*Amane Sugii1, Yoshihiro Hiramatsu1 (1. Kanazawa University)
[P21-02]Hierarchical estimation of tectonic tremor episodes using OPTICS clustering and comparison with short-term SSEs
*Yoshihiro HIRAMATSU1, Amane Sugii1 (1. Kanazawa University)
[P21-03]Earthquake-Type Classification for Seismic Catalog Construction: Quarry Blasts and Low-Frequency Earthquakes
*Kengo SIMOJO1 (1. Meteorological Research Institute)
[P21-04]Response of PINNs to misspecified inverse problems for slow slip events: comparison with strong-constraint data assimilation
*TAKEHIRO SOEJIMA1, Masayuki Kano2, Shinichi Miyazaki1 (1. Kyoto University, 2. Disaster Prevention Research Institute Kyoto University)
[P21-05]Hypocenter Relocation of Earthquakes in the Noto Peninsula Using a Deep Learning Model
*Daichi Mizushima1, Yoshihiro Hiramatsu1, Amane Sugii1, Tomomi Okada2, Keisuke Yoshida2, Ryota Takagi2, Shinichi Sakai3, Satoshi Matsumoto4, Kentaro Emoto4, Yoshiko Yamanaka5, Kei Katsumata6, Masatoshi Miyazawa7, Takuto Maeda8, Motoko Ishise9, Kazutoshi Imanishi10, Takahiro Shiina10 (1. Kanazawa University, 2. Tohoku University, 3. University of Tokyo, 4. Kyushu University, 5. Nagoya University, 6. Hokkaido University, 7. Kyoto University, 8. Hirosaki University, 9. Yamagata University, 10. National Institute of Advanced Industrial Science and Technology)
[P21-06]Cluster-Guided Training-Data Curation and Neural-Network-Based Earthquake Detection in the Lützow-Holm Bay Region, Antarctica
*Manami HASHIMOTO1, Taishi Hashimoto2, Masaki Kanao2 (1. ADEP, 2. NIPR)
[P21-07]Spatiotemporal Gaussian Process Modeling of Background Seismicity in the Boso Peninsula
*Yuanyuan Niu1, Jiancang Zhaung1 (1. The Institute of Statistical Mathematics)
[P21-08]Balanced Multi-Task Learning for Graph-Neural Earthquake Location: Application to the 2011 Tohoku Aftershock Sequence
*Jiawen Zhang1, Hiromichi Nagao1, Shinya Katoh1 (1. Earthquake Research Institute, the University of Tokyo)
[P21-09]Deep Learning Analysis of S-net Travel Times, First-Motion Polarities, and 2025 Aomori Offshore Aftershocks
*Shinya KATO1, Hiromichi Nagao1,2,3 (1. Earthquake Research Institute,The University of Tokyo, 2. Graduate School of Information Science and Technology, The University of Tokyo, 3. RIKEN Center for Advanced Intelligence Project)
[P21-10]Evaluation of Machine Learning-Based Initial Motion Polarity Determination
*Jumpei SHIMIZU1, Masahiro YOSHIMOTO1, Kengo SHIMOJO2 (1. Japan Meteorological Agency, 2. Meteorological Research Institute)
[P21-11]Real-Time Prediction of Long-Period Ground Motion Waveforms and Arrival Times Using a TCN–Transformer Model
*Takuma Kai1, Takashi Furumura1 (1. The University of Tokyo, Earthquake Research Institute)
[P21-12]Flexible Seismicity Modeling With Neural Modulated Renewal Processes
*Chengxiang Zhan1, Jiancang Zhuang1, Stephen Wu1 (1. Institute of Statistical Mathematics)