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Data analytics for sewer rising main failures

Project Member(s): Wang, Y., Guo, T., Chen, F.

Funding or Partner Organisation: Sydney Water Corporation
Sydney Water Corporation

Start year: 2020

Summary: Investigation of sewer rising main failures to understand the causes and enable improved management of future risk through data analytics technology.


Li, B, Guo, T, Zhu, X, Wang, Y & Chen, F 2023, 'ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation' in Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, pp. 369-386.
View/Download from: Publisher's site

FOR Codes: Pattern Recognition and Data Mining, Infrastructure Engineering and Asset Management, Water Recycling Services (incl. Sewage and Greywater), Data management and data science, Machine learning, Computer vision and multimedia computation