Prediction of Sewer Pipelines Using Machine Learning Techniques: A Case Study on the City of Hamilton Sewer Network
Author:
Affiliation:
1. Asset Management Consultant, AECOM, Burnaby, BC, Canada.
2. Asset Management Technical Director (Water), AECOM, Ottawa, ON, Canada .
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485033.015
Reference28 articles.
1. Modeling the structural deterioration of urban drainage pipes: the state-of-the-art in statistical methods
2. ASCE. (2021). American Society of Civil Engineers. https://infrastructurereportcard.org/cat-item/wastewater-infrastructure/.
3. Application of the Logistic Function to Bio-Assay;Berkson J.;Journal of the American Statistical Association,1944
4. Chen T. and Guestrin C. (2016). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 785–794. https://doi.org/10.1145/2939672.2939785.
5. The Regression Analysis of Binary Sequences;Cox D. R.;Journal of the Royal Statistical Society. Series B (Methodological),1958
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