Browsing Faculty Contributions by Subject "'current"
Now showing items 1-2 of 2
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Human role in existing bridge digital twin frameworks, towards Industry 5.0
( CRC Press/Balkema , 2024 , Conference Paper)Regardless of the current challenges and limitations of Digital Twins, there seems to be only one school of thought and a consensus toward their future adoption for design, construction, management, operation, and ... -
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonparametric ...
