Project 1.22: Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring
Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring Project 1.22 Project Summary In this proposed research, we plan to develop a framework for machine learning enabled information fusion of heterogeneous sensing for infrastructure health monitoring. Traditionally, off-the-shelf sensors such as accelerometers and strain gages have been used to collect real-time measurements of […]
Read more





