Seismic-phase detection using multiple deep learning models for global and local representations of waveforms von Tokuda, Tomoki, Nagao, Hiromichi

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Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault von Ito, Shin-ichi, Kano, Masayuki, Nagao, Hiromichi

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Detection of low-frequency earthquakes by the matched filter technique using the product of mutual information and correlation coefficient von Kurihara, Ryo, Kato, Aitaro, Kurata, Sumito, Nagao, Hiromichi

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Data assimilation for phase-field models based on the ensemble Kalman filter von Sasaki, Kengo, Yamanaka, Akinori, Ito, Shin-ichi, Nagao, Hiromichi

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Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression von Morikawa, Kosuke, Nagao, Hiromichi, Ito, Shin-ichi, Terada, Yoshikazu, Sakai, Shin’ichi, Hirata, Naoshi

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Analysis of hepatitis B and C virus infections amongst members of the Dental National Health Insurance Society in the Oita Prefecture von Nagao, Yumiko, Kimura, Tetsuya, Nagao, Hiromichi

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Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model von Ito, Shin-ichi, Nagao, Hiromichi, Kasuya, Tadashi, Inoue, Junya

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Seismic wavefield imaging based on the replica exchange Monte Carlo method von Kano, Masayuki, Nagao, Hiromichi, Ishikawa, Daichi, Ito, Shin-ichi, Sakai, Shin'ichi, Nakagawa, Shigeki, Hori, Muneo, Hirata, Naoshi

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Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images von Kaneko, Ryosuke, Nagao, Hiromichi, Ito, Shin-ichi, Obara, Kazushige, Tsuruoka, Hiroshi

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Detection of Deep Low‐Frequency Tremors From Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network von Kaneko, Ryosuke, Nagao, Hiromichi, Ito, Shin‐ichi, Tsuruoka, Hiroshi, Obara, Kazushige

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Bayesian Inference of Forces Causing Cytoplasmic Streaming in Caenorhabditis elegans Embryos and Mouse Oocytes von Niwayama, Ritsuya, Nagao, Hiromichi, Kitajima, Tomoya S, Hufnagel, Lars, Shinohara, Kyosuke, Higuchi, Tomoyuki, Ishikawa, Takuji, Kimura, Akatsuki

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Bayesian inference of grain growth prediction via multi-phase-field models von Ito, Shin-ichi, Nagao, Hiromichi, Kurokawa, Takashi, Kasuya, Tadashi, Inoue, Junya

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Visualization of geoscience data on Google Earth: Development of a data converter system for seismic tomographic models von Yamagishi, Yasuko, Yanaka, Hiroshi, Suzuki, Katsuhiko, Tsuboi, Seiji, Isse, Takehi, Obayashi, Masayuki, Tamura, Hajimu, Nagao, Hiromichi

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Recovering the past history of natural recording media by Bayesian inversion von Kuwatani, Tatsu, Nagao, Hiromichi, Ito, Shin-ichi, Okamoto, Atsushi, Yoshida, Kenta, Okudaira, Takamoto

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Wishart Mixture-based Multiple Clustering for Selecting Seismic Stations for Low-frequency Earthquake Detection von Tokuda, Tomoki, Nagao, Hiromichi

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Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots von Nakao, Atsushi, Kuwatani, Tatsu, Ito, Shin-ichi, Nagao, Hiromichi

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Seismic wavefield reconstruction based on compressed sensing using data-driven reduced-order model von Nagata, T, Nakai, K, Yamada, K, Saito, Y, Nonomura, T, Kano, M, Ito, S, Nagao, H

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Lower mantle conductivity anomalies estimated from geomagnetic jerks von Nagao, Hiromichi, Iyemori, Toshihiko, Higuchi, Tomoyuki, Araki, Tohru

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Towards Addressing Challenges in Seismic Wave Arrival-Time Picking Models Using Deep Learning von KATOH, Shinya, NAGAO, Hiromichi, IMAIZUMI, Masaaki

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Diffusion Creep and Grain Growth in Forsterite +20 vol% Enstatite Aggregates: 1. High‐Resolution Experiments and Their Data Analyses von Nakakoji, T., Hiraga, T., Nagao, H., Ito, S., Kano, M.

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