Presentation Information
[EV09-01]JpGU Super Lesson: Seismic Waveform Data Analysis Using Deep Learning
Hiromichi Nagao1, Tomoki Tokuda1, Shinya Katoh1 (1. Earthquake Research Institute, The University of Tokyo)
Date and time: Sunday, 25 May 2025 15:30-17:00
Venue: 104
Event type: On-site only
Participation Fee: Free of charge
How to join: No registration required. Please come directly to the venue.
Lecturers:
Hiromichi Nagao (Earthquake Research Institute, The University of Tokyo)
Tomoki Tokuda (Earthquake Research Institute, The University of Tokyo)
Shinya Katoh (Earthquake Research Institute, The University of Tokyo)
Outline:
This super lesson will cover deep learning models for detecting seismic waves from seismic waveform data and determining initial motion polarity, followed by practical exercises using sample programs and data.
Venue: 104
Event type: On-site only
Participation Fee: Free of charge
How to join: No registration required. Please come directly to the venue.
Lecturers:
Hiromichi Nagao (Earthquake Research Institute, The University of Tokyo)
Tomoki Tokuda (Earthquake Research Institute, The University of Tokyo)
Shinya Katoh (Earthquake Research Institute, The University of Tokyo)
Outline:
This super lesson will cover deep learning models for detecting seismic waves from seismic waveform data and determining initial motion polarity, followed by practical exercises using sample programs and data.