Seismological Society of Japan Fall Meeting
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Room CSpecial session : S22. Potentiality of Machine Learning in Seismology

[S22]AM-1

Wed. Sep 18, 2019 9:15 AM - 10:30 AM JST
Wed. Sep 18, 2019 12:15 AM - 1:30 AM UTC
ROOM C Research Bldg No 8 NS Hall
chairperson:Takahiko Uchide(Geological Survey of Japan, AIST), Hisahiko Kubo(NIED)
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9:15 AM - 9:45 AM JST(12:15 AM - 12:45 AM UTC)

[S22-01][INVITED]Data-Driven Anomaly Detection Based on Machine Learning: Smart Maintenance for Wind Energy

*Jun Ogata1 (1. Data-Driven Anomaly Detection Based on Machine Learning: Smart Maintenance for Wind Energy)
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9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[S22-02]Seismic Phase Picking based on Sparsity-Aware Change Detection

*Hiroki Kuroda1, Jun Ogata1, Hidenori Sakanashi1, Takahiko Uchide2 (1. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2. Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology)
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10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[S22-03]Automatic P-wave detection using deep learning and visualization of the decision process

*Shota Hara1, Yukitoshi Fukahata2, Yoshihisa Iio2 (1. Graduate School of Science, Kyoto University, 2. Disaster Prevention Research Institute, Kyoto University)
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10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

[S22-04]Application of convolutional neural networks to continuous seismic network records

*Keisuke Yano1, Takahiro Shiina2, Sumito Kurata1, Aitaro Kato2, Fumiyasu Komaki1, Shin'ichi Sakai2, Naoshi Hirata2 (1. Department of Mathematical Informatics, The University of Tokyo, 2. Earthquake Research Institute, University of Tokyo)
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