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    AIoT-Based Rail Fastener Assessment in Low-Light Environment Using Focal Modulated Unsupervised Image Enhancement and Generative Segmentation

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    JTEPBS.TEENG-9494.pdf (16.46Mb)
    Date
    2026
    Author
    Qiu, Shi
    Shah, S. Muhammad Ahmed Hassan
    Wang, Weidong
    Yamin, Seemab
    Wang, Jin
    Ai, Chengbo
    Zaheer, Qasim
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    Abstract
    AbstractEnsuring the integrity of railway fasteners is essential for maintaining track stability and operational safety, particularly under high-speed and dynamic loading conditions. However, reliable inspection becomes challenging in low-light ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313737
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