Session Details
[S21P]PM-P
Mon. Oct 21, 2024 5:15 PM - 6:45 PM JST
Mon. Oct 21, 2024 8:15 AM - 9:45 AM UTC
Mon. Oct 21, 2024 8:15 AM - 9:45 AM UTC
Room P Main Hall (2F)
[S21P-01]On regularity of physics-informed neural networks in solving ill-posed Cauchy problems
*Daisuke SATO1, Tomohisa Okazaki2 (1. Japan Agency for Marine-Earth Science and Technology, 2. Institute of Physical and Chemical Research)
[S21P-02]Hackathon on Large Language Models and Earthquake Researches
*Hisahiko KUBO1, Stephen Wu2, Masayuki Kano3, Shinya Katoh4, Atsuko Oana5, Tomohisa Okazaki6, Nozomi Okada7, Nobuki Kame4, Yuki Kodera8, Daisuke Sato9, Kengo Shimojo8, Koji Tamaribuchi10, Makoto Naoi11, Ryuichi Nishiyama4, Kazuro Hirahara6,12, Takashi Miyamoto13, Masumi Yamada14 (1. National Research Institute for Earth Science and Disaster Resilience, 2. The Institute of Statistical Mathematics, 3. Tohoku University, 4. Earthquake Research Institute, The University of Tokyo, 5. Institute of Technology, Shimizu Corporation, 6. Center for Advanced Intelligence Project, RIKEN, 7. Shizuoka University, 8. Meteorological Research Institute, 9. Japan Agency for Marine-Earth Science and Technology, 10. Japan Meteorological Agency, 11. Hokkaido University, 12. Kagawa University, 13. University of Yamanashi, 14. Disaster Prevention Research Institute, Kyoto University)
[S21P-03]Ateempt of detection of small earthquakes in Hakone volcano based on machine larning using multi-station data
*Ryo KURIHARA1 (1. Hot Springs Research Institute of Kanagawa Prefecture)
[S21P-04]Parallel GPU Deep Learning Framework for Seismology and Application for Seismic Waveform from Nankai Trough
*Daisuke Sugiyama1,2, Yojiro Yamamoto1 (1. Japan Agency for Marine-Earth Science and Technology, 2. Kagoshima University)
[S21P-05]A Deep Learning Estimation of Tectonic Tremor Location from Single-Station Waveforms
*Amane Sugii1, Yoshihiro Hiramatsu1 (1. Kanazawa University)
[S21P-06]Detecting and locating tectonic tremors using deep learning: Application to Hi-net stations in the Nankai subduction zone
*Yuya Jinde1, Amane Sugii1, Yoshihiro Hiramatsu1 (1. Kanazawa University)
[S21P-07]Development of deep-learning methods for seismic event detection in seafloor DAS data: creation of training/validation datasets
*GERARDO MANUEL MENDO1, HIROMICHI NAGAO1, SHINYA KATOH1, MASANAO SHINOHARA2 (1. Research Center for Computational Earth Science, Earthquake Research Institute, The University of Tokyo, 2. Research Center for Geophysical Observation and Instrumentation, Earthquake Research Institute, The University of Tokyo)
[S21P-08]Acquiring a Stochastic Differential Equation Representation to Characterize Tremors from Seismic Waveform Data Using Deep Learning
*Toshiro Kusui1, Hiromichi Nagao1, Shin-ichi Ito1, Shinya Katoh1, Tomoki Tokuda1 (1. Univ. of Tokyo)
[S21P-09]Establishment and Result of Local Model through Transfer Learning of Deep Learning Detectors Using AN-net Data in Nagaoka Region
*Isao Kurosawa1, Yuki kobayashi1, Kodai Sagae2, Takahiko Uchide2 (1. INPEX CORPORATION, 2. Geological Survey of Japan. National Institute of Advanced Industrial Science and Technology)