Presentation of Research Progress at IEEE SoutheastCon 2023 (AI/ML Models)

Our (Dr. Nicole Barclay and Dr. Michael Smith) team’s research progress shared at IEEE SoutheastCon 2023:

C. Schultz, C. McNinch, J. Qi, M. Smith, and N. Barclay, “Culvert Condition Prediction via Artificial Neural Network Machine Learning-Based Models Using SMOTE,”
IEEE SoutheastCon 2023, April 13 – 16, 2023, Orlando, Florida.

L. Jalagam, J. Qi, N. Shepherd, N. Barclay, M. Smith, “Water Quality Predictions for Urban Streams Using Machine Learning,” IEEE SoutheastCon 2023, April 13 – 16, 2023, Orlando, Florida.

This entry was posted in Uncategorized. Bookmark the permalink.