JpGU-AGU Joint Meeting 2026

Presentation information

[J] Poster

S (Solid Earth Sciences ) » S-CG Complex & General

[S-CG71] Driving Solid Earth Science through Machine Learning

Wed. May 27, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[SCG71-P01] State Space Model Based Trend Decomposition and Its Application to Machine Learning Based Anomaly Detection

*Mayu Tsuchiya1, Hiroyuki Nagahama1, Jun Muto1, Yumi Yasuoka2, Yoichi Ishikawa3, Akihiro Kimura3 (1. Department of Earth Sciences, Tohoku University, 2. Radioisotope Research Center, Kobe Pharmaceutical University, 3. Miyagi Prefecture Environmental Radiation Monitoring Center)

Keywords:Machine learning, Random Forest analysis, State Space Model, Radon concentration in the atmosphere, The 2011 Tohoku-oki earthquake