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    Automated Three-Dimensional Sand Particle Shape Classification by PointConv-Transformer

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003::page 04026008-1
    Author:
    Xi, Junbo
    ,
    Zheng, Junxing
    ,
    Gao, Lin
    ,
    Wang, Dong
    ,
    Chen, Shu
    DOI: 10.1061/JCCEE5.CPENG-6928
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe angularity and sphericity of sand particles significantly influence the shear strength, compressibility, void structure, and deformation behavior of soils. However, current computational geometry (CG) algorithms face challenges in ...
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      Automated Three-Dimensional Sand Particle Shape Classification by PointConv-Transformer

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314456
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    contributor authorXi, Junbo
    contributor authorZheng, Junxing
    contributor authorGao, Lin
    contributor authorWang, Dong
    contributor authorChen, Shu
    date accessioned2026-08-20T21:26:28Z
    date available2026-08-20T21:26:28Z
    date copyright2026/01/28
    date issued2026
    identifier otherJCCEE5.CPENG-6928.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314456
    description abstractAbstractThe angularity and sphericity of sand particles significantly influence the shear strength, compressibility, void structure, and deformation behavior of soils. However, current computational geometry (CG) algorithms face challenges in ...
    publisherAmerican Society of Civil Engineers
    titleAutomated Three-Dimensional Sand Particle Shape Classification by PointConv-Transformer
    typeJournal Article
    journal volume40
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6928
    journal fristpage04026008-1
    journal lastpage04026008-22
    page22
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
    contenttypeFulltext
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