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eess.SP2022
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…
eess.SP2020★ 5 cited
Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization
Xiao Liang, Seyed Omid Sajedi
Post-disaster inspections are critical to emergency management after earthquakes. The availability of data on the condition of civil infrastructure immediately after an earthquake…
eess.SP2019
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures
Seyed Omid Sajedi, Xiao Liang
Near real-time damage diagnosis of building structures after extreme events (e.g., earthquakes) is of great importance in structural health monitoring. Unlike conventional methods…