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RISOptimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net
Publisher: American Society of Civil Engineers
Abstract: AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and
the longevity of road infrastructures. Existing convolutional neural network (CNN)
models often struggle with the noise and irregular ...
Safety Risk Assessment of Hydraulic Climbing Formwork Construction Based on System-Theoretic Process Analysis and Dynamic Bayesian Networks
Publisher: American Society of Civil Engineers
Abstract: AbstractHydraulic climbing formwork (HCF) is an efficient and highly automated construction
technology that has been widely applied in the construction of super high-rise buildings
and long-span bridges. Ensuring the safety ...
AIoT-Based Rail Fastener Assessment in Low-Light Environment Using Focal Modulated Unsupervised Image Enhancement and Generative Segmentation
Publisher: American Society of Civil Engineers
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 ...