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Scalable and Accurate Crack Segmentation for Infrastructure Health Monitoring Using EfficientNetB0 and a Context-Aware Attention Mechanism
Publisher: American Society of Civil Engineers
Abstract: AbstractIn response to the growing need for accurate and automated infrastructure assessment,
this study introduces a novel crack segmentation framework that combines an EfficientNetB0
encoder with an enhanced U-Net decoder ...
Multiscale Dynamic Attention and Transformer-Driven Interactive Multifeature Fusion Approach for Advanced Crack Detection and Segmentation
Publisher: American Society of Civil Engineers
Abstract: AbstractSalient Object Detection is a key preprocessing technique for identifying prominent
regions in images, but its use in pavement surface crack detection is limited due
to scale and feature differences. To address ...
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 ...
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 ...
Efficient and Interpretable Image Processing Approach for Crack Segmentation
Publisher: American Society of Civil Engineers
Abstract: AbstractStructural health monitoring (SHM) plays a pivotal role in ensuring infrastructure
longevity and safety, with crack detection serving as a fundamental task in assessing
structural integrity. This study presents a ...
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