Session Details
[P22]Acceleration of seismological research through integration with information science
Mon. Oct 20, 2025 5:15 PM - 7:00 PM JST
Mon. Oct 20, 2025 8:15 AM - 10:00 AM UTC
Mon. Oct 20, 2025 8:15 AM - 10:00 AM UTC
Room P22 (502+503)(502+503)
[P22-01]Improvement on normal estimation and hypocenter clustering algorithm for unraveling intricate fault structures
*Yasunori Sawaki1,2, Kodai Sagae2, Admore Mpuang2, Haruo Horikawa2, Yoshihiro Sato3,4, Takahiro Shiina2, Takahiko Uchide2 (1. College of Science and Engineering, Ritsumeikan University, 2. Geological Survey of Japan, AIST, 3. Tokyo City University, 4. Artificial Intelligence Research Center, AIST)
[P22-02]Optimization of subfault segmentation for fault-slip inversion
*Fumiaki TOMITA1 (1. IRIDeS, Tohoku University)
[P22-03]Automatic Detection of T-Phase Using the YOLO Object Detection Algorithm
*Hiroki Kawakami1, Naoki Suda1 (1. Hiroshima University)
[P22-04]Deep-learning-based Framework for Fault-specific Seismic Waveform Generation:From Small to Large Events
*Sheng Chenfeng1,2, Hiroe Miyake1,3 (1. Earthquake Research Institute, The University of Tokyo, 2. Department of Earth and Planetary Science, The University of Tokyo, 3. Interfaculty Initiative in Information Studies, The University of Tokyo)
[P22-05]Detection of small displacements due to fault slip from InSAR and GNSS data by deep learning: Application to the 2019 Hyuga-nada earthquake
*Yutaro OKADA1, Yo Fukushima1 (1. International Research Institute of Disaster Science, Tohoku University)
[P22-06]Hypocenter Estimation of Tectonic Tremors in the Nankai Subduction Zone Using Deep Learning: Integration of Single-station Predictions
*Amane Sugii1, Yoshihiro Hiramatsu1 (1. Kanazawa University)
[P22-07]Automatic Extraction of Later Phase in S coda by Independent Vector Analysis
*Yuta AMEZAWA1, Tomohiko Nakamura2, Satoru Fukayama2, Takahiro Shiina1, Takahiko Uchide1 (1. Geological Survey of Japan, AIST, 2. Artificial Intelligence Research Center, AIST)
[P22-08]Waveform-Based Localization of Deep Low-Frequency Events Without Arrival-Time Picking Using Fourier Neural Operator
*Shinya KATOH1, Zachary E. Ross2, Nagao Hiromichi1 (1. Earthquake Research Institute,The University of Tokyo, 2. California Institute of Technology)
[P22-09]Investigation of PhaseNetWC behavior in the Tokyo metropolitan area earthquation observation network
*Ichiro Oishi1, Yuta Amezawa2, Jyunichi Nakajima1 (1. Institute of Science Tokyo, 2. AIST)
[P22-10]Comparison of b-value estimation methods for real-time aftershock forecasting in Japan
*Taku Ueda1, Hisahiko Kubo1, Katsuhiko Shiomi1 (1. National Research Institute for Earth Science and Disaster Resilience)
[P22-11]Mapping deep fault geometries by clustering of deep learning enhanced hypocenter distributions and their normal vectors in Hokkaido
*Admore MPUANG1, Takahiro SHIINA1, Yasunori SAWAKI1, Ayaka TAGAMI1, Takahiko UCHIDE1 (1. Geological Survey of Japan, AIST)
[P22-12]Leveraging a BERT-based deep learning model for earthquake detection in seafloor Distributed Acoustic Sensing data
*GERARDO MANUEL MENDO1, Hiromichi Nagao1, Shinya Katoh1, Masanao Shinohara2 (1. Research Center for Computational Earth Sciences, Earthquake Research Institute, The University of Tokyo, 2. Research Center for Geophysical Observation and Instrumentation, Earthquake Research Institute, The University of Tokyo)
[P22-13]Deep learning-based epicenter estimation of tectonic tremors in the Nankai subduction zone (2018-2025)
*Koki Katamura1, Amane Sugii1, Yoshihiro Hiramatsu1 (1. Kanazawa University)
[P22-14]Exploring Loss Function Design for Deep Learning Seismic Waveform Denoisers
*Atsuki Shigemura1 (1. Tokyo University of Marine science and Technology)
[P22-15]Creation of a Temporary Seismic Observation Dataset for Machine Learning
*Takahiko Uchide1, Reiken Matsushita1, Takahiro Shiina1, Haruo Horikawa1 (1. National Institute of Advanced Industrial Science and Technology (AIST))
[P22-16]Consideration for establishing visual evaluation criteria for estimating fault planes using gaze information
*Yoshihiro Sato1, Satoru Fukayama2, Takahiko Uchide2 (1. Tokyo City University, 2. National Institute of Advanced Industrial Science and Technology (AIST))
[P22-17]Understanding the relationship between seismic noise and human activities in urban areas using machine learning
*Takumi HAYASHIDA1 (1. IISEE, Building Research Institute)