Research at the University of Dayton aims to help engineers visualize geotechnical subsurface data. Understanding the subsurface conditions is an important step in designing buildings, bridges and other critical infrastructures. Using data from multiple sources, the researchers will create models using state-of-the-art machine learning and stochastic simulation techniques. The data can then be integrated into a virtual reality visualization.

This research is supported by the University of Dayton STEM Catalyst Initiative. [ Ссылка ]

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