1 citations · 1 across the 4 of their papers we have counts for
4 papers
Hybrid AI-Physics Framework for Post-Earthquake Structural Damage Diagnosis with Sparse Sensing
Xiao Liang
Rapid and reliable post-earthquake damage assessment is critical for public safety, re-occupancy decisions, and effective emergency response. This paper presents a physics-informed…
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage
Kareem Eltouny, Seyedomid Sajedi, Xiao Liang
Visual inspection is predominantly used to evaluate the state of civil structures, but recent developments in unmanned aerial vehicles (UAVs) and artificial intelligence have incre…
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Kareem Eltouny, Seyedomid Sajedi, Xiao Liang
Visual inspection is the predominant technique for evaluating the condition of civil infrastructure. The recent advances in unmanned aerial vehicles (UAVs) and artificial intellige…
Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning
Seyedomid Sajedi, Xiao Liang
Bridges are indispensable elements in resilient communities as essential parts of the lifeline transportation systems. Knowledge about the functionality of bridge structures is cru…