AIoT-Based Rail Fastener Assessment in Low-Light Environment Using Focal Modulated Unsupervised Image Enhancement and Generative Segmentation
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Date
2026Author
Qiu, Shi
Shah, S. Muhammad Ahmed Hassan
Wang, Weidong
Yamin, Seemab
Wang, Jin
Ai, Chengbo
Zaheer, Qasim
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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 ...