The 16th Japan Earthquake Engineering Symposium
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Session Details

General Session[General Session] D. Damage investigation and analysis, etc. : D-5 Machine learning/IoT/DX

Machine learning / IoT / DX (2)

Sat. Nov 25, 2023 3:40 PM - 5:10 PM JST
Sat. Nov 25, 2023 6:40 AM - 8:10 AM UTC
G416 PACIFICO Yokohama North, 4F
Chairperson: Tetsuo Tobita (Kansai University)
3:40 PM - 3:52 PM JST(6:40 AM - 6:52 AM UTC)

[Day3-G416-20]Classification of observation sites by microtremor H/V spectra and deep learning

*Tetsuo Tobita1, Taichi Taniguchi2 (1. Kansai University, 2. Zenitaka Cooperation)
3:53 PM - 4:05 PM JST(6:53 AM - 7:05 AM UTC)

[Day3-G416-21]Prediction of land subsidence in Chiba Prefecture caused by liquefaction based on machine learning

*Kazuki Karimai1, Wen Liu2, Yoshihisa Maruyama2 (1. Graduate School of Science and Engineering, Chiba University, 2. Graduate School of Engineering, Chiba University)
4:06 PM - 4:18 PM JST(7:06 AM - 7:18 AM UTC)

[Day3-G416-22]Prediction of Dynamic Response of 2D Frames using Machine Learning with Graph Embedding

*Hiroshi Nitta1, Shinnosuke Fujita1 (1. The University of Kitakyushu)
4:19 PM - 4:31 PM JST(7:19 AM - 7:31 AM UTC)

[Day3-G416-23]Basic Research on Building Response Prediction during Earthquakes using LSTM

*Tomohiro Yabuta1, Fumihisa Yoshida1, Takuma Nishi1 (1. Central Research Laboratory, Daiwa House Industry Co.,Ltd.)
4:32 PM - 4:44 PM JST(7:32 AM - 7:44 AM UTC)

[Day3-G416-24]MULTI-HAZARD MONITORING AND WARNING SYSTEM BASED ON LOW-COST IOT DEVICES

*Ji Dang1, Sanjeev Bhatta1 (1. Saitama University)
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