ジャーナル論文 / Journal
  1. Li, L., Li, J., and Miyoshi, T., "Chaos suppression through Chaos enhancement", Nonlinear Dyn., 1–10, (2024).
  2. Yamagishi, Y., Saito, K., Hirahara, K., and Ueda, N., "Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric.", Appl. Netw. Sci. 8(1), 14, (2023).
  3. Sujatmiko, K. A., Ichii, K., Murata, S., and Mulia, I. E., "Application of Stress Parameter from Liquefaction Analysis on the Landslide Induced Tsunami Simulation: A Case Study of the 2018 Palu Tsunami", Journal of Disaster Research 18(3), 199–208, (2023).
  4. Ratnasari, R. N., Tanioka, Y., Yamanaka, Y., and Mulia, I. E., "Development of early warning system for tsunamis accompanied by collapse of Anak Krakatau volcano, Indonesia", Frontier in Earth Science 111, (2023).
  5. Okazaki, T., and Ueda, N., "Comment on ‘Geophysical inversion and optimal transport’ by M. Sambridge, A. Jackson, and A. P. Valentine", Geophys. J. Int. 233, 1484–1487, (2023).
  6. Mulia, I. E., Ueda, N., Miyoshi, T., Iwamoto, T., and Heidarzadeh, M., "A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields", Sci. Rep. 13(1), 7918, (2023).
  7. Heidarzadeh, M., Iwamoto, T., Šepić, J., and Mulia, I. E., "Normal and reverse storm surges along the coast of Florida during the September 2022 Hurricane Ian: Observations, analysis, and modelling", Ocean Model. 185, 102250, (2023).
  8. Heidarzadeh, M., Gusman, A. R., and Mulia, I. E., "The landslide source of the eastern Mediterranean tsunami on 6 February 2023 following the Mw 7.8 Kahramanmaraş (Türkiye) inland earthquake", Geoscience Letters 10(1), 50, (2023).
  9. Hachiya, H., Nagayoshi, K., Iwaki, A., Maeda, T., Ueda, N., and Fujiwara, H., "Position-dependent partial convolutions for supervised spatial interpolation", Machine Learning with Applications 14, 100514, (2023).
  10. Hachiya, H., Masumoto, Y., Kudo, A., and Ueda, N., "Encoder–decoder-based image transformation approach for integrating multiple spatial forecasts", Machine Learning with Applications 12, 100473, (2023).
  11. Takahashi, A., and Hashimoto, M., "Cluster Analysis of Dense GNSS Velocity Field Reveals Characteristics Associated with Regional Tectonics in New Zealand", Journal of Geophysical Research: Solid Earth 127(11), (2022).
  12. Takahashi, A., Sakai, T., Kawabata, T., Yoshida, S., and Ueda, N., "Balance plot to for visualizing and examining tradeoff between accuracy and data quantity of lidar water vapor measurement data", Journal of Laser Radar Society of Japan 3(2), (2022).
  13. Okazaki, T., Ito, t., Hirahara, k., and Ueda, n., "Physics-informed deep learning approach for modeling crustal deformation", Nat. Commun. 13(7092), (2022).
  14. Okazaki, T., Fukahata, Y., and Ueda, N., "Time variable stress inversion of centroid moment tensor data using Gaussian processes", Journal of Geophysical Research: Solid Earth 127, e2022JB024314, (2022).
  15. Mulia, I. E., Heidarzadeh, M., and Satake, K., "Effects of Depth of Fault Slip and Continental Shelf Geometry on the Generation of Anomalously Long-Period Tsunami by the July 2020 Mw 7.8 Shumagin (Alaska) Earthquake", Geophys. Res. Lett. 49(3), (2022).
  16. Mulia, I. E., Gusman, A. R., Heidarzadeh, M., and Satake, K., "Sensitivity of Tsunami Data to the Up-Dip Extent of the July 2021 Mw 8.2 Alaska Earthquake", Seismol. Res. Lett. 93(4), 1992–2003, (2022).
  17. MULIA, I. E., UEDA, N., MIYOSHI, T., GUSMAN, A. R., and SATAKE, K., "Machine learning-based tsunami inundation prediction derived from offshore observations", Nature Communications 13(5489), (2022).
  18. Heidarzadeh, M., and MULIA, I. E., "A new dual earthquake and submarine landslide source model for the 28 September 2018 Palu (Sulawesi), Indonesia tsunami", Coastal Engineering Journal, (2022).
  19. Yamagishi, Y., Saito, K., Hirahara, K., and Ueda, N., "Spatio-temporal clustering of earthquakes based on distribution of magnitudes.", Appl. Netw. Sci. 6(1), 71, (2021).
  20. Okazaki, T., Morikawa, N., Iwaki, A., Fujiwara, H., Iwata, T., and Ueda, N., "Ground-Motion Prediction Model Based on Neural Networks to Extract Site Properties from Observational Records", Bull. Seismol. Soc. Am. 111(4), 1740–1753, (2021).
  21. Okazaki, T., Morikawa, N., Fujiwara, H., and Ueda, N., "Monotonic Neural Network for Ground‐Motion Predictions to Avoid Overfitting to Recorded Sites", Seismol. Res. Lett. 92(6), 3552–3564, (2021).
  22. Okazaki, T., Hachiya, H., Iwaki, A., Maeda, T., Fujiwara, H., and Ueda, N., "Simulation of broad-band ground motions with consistent long-period and short-period components using the Wasserstein interpolation of acceleration envelopes", Geophys. J. Int. 227(1), 333–349, (2021).
  23. Okazaki, T., Fukahata, Y., and Nishimura, T., "Consistent Estimation of Strain-Rate Fields from GNSS Velocity Data Using Basis Function Expansion with ABIC", Earth Planets Space 73(153), (2021).
国際会議 / Proceedings
  1. Murakami, S., Fujita, K., Ichimura, T., Hori, T., Hori, M., Lalith, M., and Ueda, N., "Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU", Lecture Notes in Computer Science, (2023).
  2. Ichimura, T., Fujita, K., Koyama, K., Kusakabe, R., Kikuchi, Y., Hori, T., Hori, M., Maddegedara, L., Ohi, N., Nishiki, T., Inoue, H., Minami, K., Nishizawa, S., Tsuji, M., and Ueda, N., "152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation.", Proceedings of HPCAsia 2022: International Conference on High Performance Computing in Asia-Pacific Region Workshops, 18–29, (2022).
  3. Yamagishi, Y., Saito, K., Hirahara, K., and Ueda, N., "Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation.", Pricai, 347–358, (2021).
  4. Yamagishi, Y., Saito, K., Hirahara, K., and Ueda, N., "Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric.", Complex Networks, 487–498, (2021).
  5. Futami, F., Iwata, T., Ueda, N., Sato, I., and Sugiyama, M., "Loss function based second-order Jensen inequality and its application to particle variational inference", Advances in Neural Information Processing Systems 34, 6803–6815, (2021).