Jingyi “Jenny” Qi recently shared our team’s research progress regarding “Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning” at the IEEE SoutheastCon 2022 conference on March 27, 2022.
- J. Qi, M. Smith, N. Barclay, “Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning,” IEEE SoutheastCon 2022, March 26-April 3rd, 2022, Mobile, AL.
Update (May 3, 2022): This work is now available in IEEE Xplore:
- J. Qi, M. Smith, and N. Barclay, “Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning,” SoutheastCon 2022, 2022, pp. 316-322, doi: 10.1109/SoutheastCon48659.2022.9764033.