Hasil Pencarian - Naonori Ueda

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  1. 1
    Fault geometry invariance and dislocation potential in antiplane crustal deformation: physics-informed simultaneous solutions

    Fault geometry invariance and dislocation potential in antiplane crustal deformation: physics-informed simultaneous solutions oleh Tomohisa Okazaki, Kazuro Hirahara, Naonori Ueda

    Diterbitkan 2024-09-01
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  2. 2
    Spatio-temporal clustering of earthquakes based on distribution of magnitudes

    Spatio-temporal clustering of earthquakes based on distribution of magnitudes oleh Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda

    Diterbitkan 2021-09-01
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  3. 3
    Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices

    Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices oleh Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato

    Diterbitkan 2021-07-01
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  4. 4
    Encoder–decoder-based image transformation approach for integrating multiple spatial forecasts

    Encoder–decoder-based image transformation approach for integrating multiple spatial forecasts oleh Hirotaka Hachiya, Yusuke Masumoto, Atsushi Kudo, Naonori Ueda

    Diterbitkan 2023-06-01
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  5. 5
    Multi-class AUC maximization for imbalanced ordinal multi-stage tropical cyclone intensity change forecast

    Multi-class AUC maximization for imbalanced ordinal multi-stage tropical cyclone intensity change forecast oleh Hirotaka Hachiya, Hiroki Yoshida, Udai Shimada, Naonori Ueda

    Diterbitkan 2024-09-01
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  6. 6
    Physics-informed deep learning approach for modeling crustal deformation

    Physics-informed deep learning approach for modeling crustal deformation oleh Tomohisa Okazaki, Takeo Ito, Kazuro Hirahara, Naonori Ueda

    Diterbitkan 2022-11-01
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  7. 7
    Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric

    Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric oleh Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda

    Diterbitkan 2023-02-01
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  8. 8
    A Ranking Approach to Genomic Selection.

    A Ranking Approach to Genomic Selection. oleh Mathieu Blondel, Akio Onogi, Hiroyoshi Iwata, Naonori Ueda

    Diterbitkan 2015-01-01
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  9. 9
    A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields

    A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields oleh Iyan E. Mulia, Naonori Ueda, Takemasa Miyoshi, Takumu Iwamoto, Mohammad Heidarzadeh

    Diterbitkan 2023-05-01
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  10. 10
    Machine learning-based tsunami inundation prediction derived from offshore observations

    Machine learning-based tsunami inundation prediction derived from offshore observations oleh Iyan E. Mulia, Naonori Ueda, Takemasa Miyoshi, Aditya Riadi Gusman, Kenji Satake

    Diterbitkan 2022-09-01
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  11. 11
    Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images

    Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images oleh Bahareh Kalantar, Naonori Ueda, Husam A. H. Al-Najjar, Alfian Abdul Halin

    Diterbitkan 2020-10-01
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  12. 12
    Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI

    Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI oleh Erfan Hasanpour Zaryabi, Loghman Moradi, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin

    Diterbitkan 2022-12-01
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  13. 13
    Position-dependent partial convolutions for supervised spatial interpolation

    Position-dependent partial convolutions for supervised spatial interpolation oleh Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara

    Diterbitkan 2023-12-01
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  14. 14
    Efficient Network Representation Learning via Cluster Similarity

    Efficient Network Representation Learning via Cluster Similarity oleh Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda

    Diterbitkan 2023-09-01
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  15. 15
    Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer

    Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer oleh Antoine P Naud, Antoine P Naud, Shiro Usui, Naonori Ueda, Tatsuki Taniguchi

    Diterbitkan 2007-11-01
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  16. 16
    BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection

    BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection oleh Seyd Teymoor Seydi, Heidar Rastiveis, Bahareh Kalantar, Alfian Abdul Halin, Naonori Ueda

    Diterbitkan 2022-05-01
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  17. 17
    Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence

    Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence oleh Vahideh Saeidi, Seyd Teymoor Seydi, Bahareh Kalantar, Naonori Ueda, Bahman Tajfirooz, Farzin Shabani

    Diterbitkan 2023-12-01
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  18. 18
    Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

    Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data oleh Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Kourosh Ahmadi, Alfian Abdul Halin, Farzin Shabani

    Diterbitkan 2020-05-01
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  19. 19
    Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

    Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data oleh Bahareh Kalantar, Naonori Ueda, Mohammed O. Idrees, Saeid Janizadeh, Kourosh Ahmadi, Farzin Shabani

    Diterbitkan 2020-11-01
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  20. 20
    Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

    Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia oleh Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani

    Diterbitkan 2021-07-01
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