JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT51] State-of-the-Art Seismic Data Analysis Based on Bayesian Statistics

Thu. May 28, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[STT51-P06] Seismic Detection Based on Unsupervised Station-wise Phase Picks Using Deep Learning and Its Application

*Hiromichi Nagao1,2,3, Shutaro Sekine4, Shintaro Abe4, Naoshi Hirata1 (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, 4. Association for the Development of Earthquake Prediction)

Keywords:Earthquake detection, Deep learning, Unsupervised learning