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    Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

    New search for: Hu, Yue
    New search for: Wang, Ze Zhou
    New search for: Guo, Xiangfeng
    New search for: Kek, Hardy Yide
    New search for: Ku, Taeseo
    New search for: Goh, Siang Huat
    New search for: Leung, Chun Fai
    New search for: Tan, Ernest
    New search for: Zhang, Yunhuo

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    Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

    New search for: Hu, Yue
    New search for: Wang, Ze Zhou
    New search for: Guo, Xiangfeng
    New search for: Kek, Hardy Yide
    New search for: Ku, Taeseo
    New search for: Goh, Siang Huat
    New search for: Leung, Chun Fai
    New search for: Tan, Ernest
    New search for: Zhang, Yunhuo

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

    New search for: Hu, Yue
    New search for: Wang, Ze Zhou
    New search for: Guo, Xiangfeng
    New search for: Kek, Hardy Yide
    New search for: Ku, Taeseo
    New search for: Goh, Siang Huat
    New search for: Leung, Chun Fai
    New search for: Tan, Ernest
    New search for: Zhang, Yunhuo

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

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    Document information
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    Document information
    Title:

    Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

    Additional title:

    Engineering Geology

    Contributors:

    Hu, Yue (author) / Wang, Ze Zhou (author) / Guo, Xiangfeng (author) / Kek, Hardy Yide (author) / Ku, Taeseo (author) / Goh, Siang Huat (author) / Leung, Chun Fai (author) / Tan, Ernest (author) / Zhang, Yunhuo (author)

    Published in:

    Engineering Geology ; 337 ; 107588

    Publication date:

    2024-08-01

    ISSN:

    0013-7952

    DOI:

    https://doi.org/10.1016/j.enggeo.2024.107588

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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