2016 - 2020 Framework and Methodologies of Seismic Design for Anti-Catastrophe Property
2015 - 2020 Development of stochastic identification method for ground and structural behavior during earthquakes based on ultra-high-density observation records
2017 - 2019 深層学習を用いたSAR衛星画像からの地震被害域の自動判別
2015 - 2018 Synthesis of representative design input motion reflecting possible ground motions based on data scientific scheme
2012 - 2016 A method to synthesize reliable input motions for seismic design considering the effect of various uncertainty factors using the concept of information theory
2011 - 2013 地震動と構造系の不確実性を考慮した情報理論的手法に基づく設計地震動の合成
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Papers (37):
Shitao Zheng, Takashi Miyamoto, Shingo Shimizu, Ryohei Kato, Koyuru Iwanami. Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting. IEEE Transactions on Geoscience and Remote Sensing. 2024. 62. 1-17
KINOSHITA Kosuke, YANO Yukihiro, KUMURA Takahiro, MIYAMOTO Takashi, CHUN Pang-jo. Comparative analysis of time-series InSAR bridge deformation analysis and structural simulation for a hinged PC bridge. Artificial Intelligence and Data Science. 2024. 5. 3. 730-739
Shitao Zheng, Takashi Miyamoto, Koyuru Iwanami, Shingo Shimizu, Ryohei Kato. Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-Term Precipitation Forecasting. Journal of Disaster Research. 2022. 17. 7. 1140-1149
Hidetaka Saomoto, Takashi Miyamoto. GENERATING MACHINE LEARNING DATASETS ON DAMAGE IDENTIFICATION USING FINITE ELEMENT BRIDGE MODEL. Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 2022. 78. 4. I_10-I_21
Shitao Zheng, Takashi Miyamoto, Shingo Shimizu, Ryohei Kato, Koyuru Iwanami. Physics-Informed Data-Driven Model for Short-Term Precipitation Prediction Using Radar-Observed Big Data. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 2022
Hisahiko Kubo, Takashi Miyamoto. An attempt to predict time series of real-time seismic intensity using non-linear graph-based dimensionality reduction and random forest regression. Proceedings of the Annual Conference of JSAI. 2024. JSAI2024. 3L5OS3b01
久保栞, 西尾真由子, 井上純哉, 宮本崇, CHUN Pang-jo. Estimation of geotechnical parameters in consolidation settlement problems using physics-informed neural networks. 計測自動制御学会システムインテグレーション部門講演会(CD-ROM). 2021. 22nd
宮本崇, 西尾真由子, CHUN Pang-jo. DYNAMIC ANALYSIS OF ONE-DIMENSIONAL CONTINUUM BASED ON PHYSICS-INFORMED NEURAL NETWORKS. AI・データサイエンス論文集(Web). 2021. 2. J2