The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Seismic detection based on unsupervised station-wise phase picks using deep learning and its application (AGU25)

Seismic detection based on unsupervised station-wise phase picks using deep learning and its application

Tomoki Tokuda1, Shutaro Sekine2, Shintaro Abe2, Naoshi Hirata1 and Hiromichi Nagao1, (1)Earthquake Research Institute, University of Tokyo, Tokyo, Japan, (2)Association for the Development of Earthquake Prediction, Tokyo, Japan