A comparative study of statistical and machine learning methods to infer causes of pipe breaks in water supply networks (2020)
Attributed to:
Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1080/1573062x.2020.1800758
Publication URI: http://dx.doi.org/10.1080/1573062x.2020.1800758
Type: Journal Article/Review
Parent Publication: Urban Water Journal
Issue: 6