A newly developed machine learning model makes reliable strength predictions in carbon fiber-reinforced steel columns, according to a news release by Seoul National University of Science & Technology.

While it’s right to assume that Structural Health Monitoring (SHM) is a branch of engineering used in maintaining the ...

Through an NSF grant, SLU in partnership with Rose Hulman Institute of Technology, has created learning modules for experiential learning in structural engineering. There are twelve modules broken ...

In this paper, we identify and analyze structural breaks using machine learning methodologies. We find that downward trend shifts in carbon emissions since 1965 are rare, and most trend shifts are ...

The trajectory of Machine Learning is clear: it is moving from the periphery of innovation to the very center of our ...

The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these ...