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Nagao, Hiromichi
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1

Detection of Deep Low‐Frequency Tremors From Continuous Pap..:

Kaneko, Ryosuke ; Nagao, Hiromichi ; Ito, Shin‐ichi..
Journal of Geophysical Research: Solid Earth.  128 (2023)  2 - p. , 2023
Link: https://doi.org/10.1029/..
 
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2

Adjoint-based data assimilation for reconstruction of therm..:

Nakao, Atsushi ; Kuwatani, Tatsu ; Ito, Shin-ichi.
Geophysical Journal International.  236 (2023)  1 - p. 379-394 , 2023
Link: https://doi.org/10.1093/..
 
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3

Seismic-phase detection using multiple deep learning models..:

Tokuda, Tomoki ; Nagao, Hiromichi
Geophysical Journal International.  235 (2023)  2 - p. 1163-1182 , 2023
Link: https://doi.org/10.1093/..
 
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4

Adjoint-based uncertainty quantification for inhomogeneous ..:

Ito, Shin-ichi ; Kano, Masayuki ; Nagao, Hiromichi
Geophysical Journal International.  232 (2022)  1 - p. 671-683 , 2022
Link: https://doi.org/10.1093/..
 
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5

Convolutional Neural Network to Detect Deep Low-Frequency T..:

, In: Lecture Notes in Computer Science; Trends and Applications in Knowledge Discovery and Data Mining,
Kaneko, Ryosuke ; Nagao, Hiromichi ; Ito, Shin-ichi.. - p. 31-43 , 2021
Link: https://doi.org/10.1007/..
 
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6

Forecasting temporal variation of aftershocks immediately a..:

Morikawa, Kosuke ; Nagao, Hiromichi ; Ito, Shin-ichi...
Geophysical Journal International.  226 (2021)  2 - p. 1018-1035 , 2021
Link: https://doi.org/10.1093/..
 
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7

Detection of low-frequency earthquakes by the matched filte..:

Kurihara, Ryo ; Kato, Aitaro ; Kurata, Sumito.
Earth, Planets and Space.  73 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
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8

Stacking strategy for acquisition of an Accurately Controll..:

, In: Active Geophysical Monitoring,
Nagao, Hiromichi ; Nakajima, Takahiro ; Kunitomo, Takahiro - p. 373-388 , 2020
Link: https://doi.org/10.1016/..
 
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9

List of contributors:

, In: Active Geophysical Monitoring,
Alanezi, Ghunaim T. ; Aldamegh, Khalid ; Alekseev, Anatoly S.... - p. xxi-xxvii , 2020
Link: https://doi.org/10.1016/..
 
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10

Electromagnetic—accurately controlled routinely operated si..:

, In: Active Geophysical Monitoring,
Nakajima, Takahiro ; Kunitomo, Takahiro ; Nagao, Hiromichi. - p. 167-181 , 2020
Link: https://doi.org/10.1016/..
 
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11

Bayesian inference of grain growth prediction via multi-pha..:

Ito, Shin-ichi ; Nagao, Hiromichi ; Kurokawa, Takashi..
Physical Review Materials.  3 (2019)  5 - p. , 2019
Link: https://doi.org/10.1103/..
 
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12

Recovering the past history of natural recording media by B..:

Kuwatani, Tatsu ; Nagao, Hiromichi ; Ito, Shin-ichi...
Physical Review E.  98 (2018)  4 - p. , 2018
Link: https://doi.org/10.1103/..
 
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13

Optimizing Forward Computation in Adjoint Method via Multi-..:

, In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region,
Ikeda, Tomoya ; Ito, Shin-ichi ; Nagao, Hiromichi... - p. 98-107 , 2018
Link: https://dl.acm.org/doi/1..
 
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14

Data assimilation for phase-field models based on the ensem..:

Sasaki, Kengo ; Yamanaka, Akinori ; Ito, Shin-ichi.
Computational Materials Science.  141 (2018)  - p. 141-152 , 2018
Link: https://doi.org/10.1016/..
 
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15

Grain growth prediction based on data assimilation by imple..:

Ito, Shin-ichi ; Nagao, Hiromichi ; Kasuya, Tadashi.
Science and Technology of Advanced Materials.  18 (2017)  1 - p. 857-868 , 2017
Link: https://doi.org/10.1080/..
 
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