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High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage
Visual inspection is predominantly used to evaluate the state of civil structures, but recent developments in unmanned aerial vehicles (UAVs) and artificial intelligence have increased the speed, safety, and reliability of the inspection process.
Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning
The developed strategy for spatio-temporal analysis of signals enhances the robustness of damage diagnosis frameworks that utilize deep learning for monitoring lifeline structures.
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Visual inspection is the predominant technique for evaluating the condition of civil infrastructure.
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