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Artículo
Artificial neural networks to forecast failures in water supply pipes
(MDPI AG, 2021)
The water supply networks of many countries are experiencing a drastic increase in the number of pipe failures. To reverse this tendency, it is essential to optimise the replacement plans of pipes. For this reason, companies ...
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 ...
Artículo
Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks
(Springer, 2021-09)
Sewer networks are mainly composed of pipelines which are in charge of transporting sewage and rainwater to wastewater treatment plants. A failure in a sewer pipe has many negative consequences, such as accidents, flooding, ...