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A Study on Evaluation Method of Seismic Risk of Japan (Part 2). 2023. 488. 1-390
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Tomohisa Okazaki, Nobuyuki Morikawa, Asako Iwaki, Hiroyuki Fujiwara, Tomoharu Iwata, Naonori Ueda. Ground-Motion Prediction Model Based on Neural Networks to Extract Site Properties from Observational Records. Bulletin of the Seismological Society of America. 2021
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Advancements in Seismic Hazard Assessment and Strong Motion Prediction Methods for Creating National Seismic Hazard Maps for Japan
(The 16th Japan Earthquake Engineering Symposium 2023)
Recipe for Strong Ground Motion Prediction and Overseas Applications
(The 16th Japan Earthquake Engineering Symposium 2023)
Flat File of K-NET and KiK-net Strong-motion Records
(The 16th Japan Earthquake Engineering Symposium 2023)
Hybrid of GMPE and Machine Learning for Site-Specific Earthquake Ground-Motion Prediction
(The 16th Japan Earthquake Engineering Symposium 2023)
Interpretable deep inpainting based on subsurface structure data for spatial interpolation of seismic motions
(The 16th Japan Earthquake Engineering Symposium 2023)