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Artículo
An evolutionary fuzzy system to support the replacement policy in water supply networks: The ranking of pipes according to their failure risk
(Elsevier Ltd, 2021)
In this study, an evolutionary fuzzy system is proposed to predict unexpected pipe failures in water supply networks. The system seeks to underpin the decisions of management companies regarding the maintenance and ...
Artículo
Prediction of pipe failures in water supply networks for longer time periods through multi-label classification
(Elsevier, 2023-03)
The unexpected failure of pipes is a problem that is hitting the water networks of many cities around the world. Nowadays, many proposals based on the use of machine learning techniques are emerging to combat this problem. ...
Artículo
Prediction of pipe failures in water supply networks using logistic regression and support vector classification
(Elsevier, 2020-04)
Companies in charge of water supply networks are making a huge effort to optimally plan the annual replacements of pipes. This would save costs, enable a higher quality of service and a sustainable management of ...
Artículo
Trends and Applications of Machine Learning in Water Supply Networks Management
(OmniaScience, 2021)
Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and ...