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Artículo
Aplicación de la regresión logística para la predicción de roturas de tuberías en redes de abastecimiento de agua
(Asociación para el desarrollo de Ingeniería de Organización, 2020)
Las roturas de tuberías en redes de abastecimiento de agua provocan serios problemas para las compañías encargadas de su gestión. Con objeto de reducir el número de roturas inesperadas, se propone un método predictivo de ...
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
Flexible Job Shop Scheduling Problem with Fuzzy Times and Due-Windows: Minimizing Weighted Tardiness and Earliness Using Genetic Algorithms
(MDPI, 2022-09-20)
The current requirements of many manufacturing companies, such as the fashion, textile, and clothing industries, involve the production of multiple products with different processing routes and products with short life ...
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, ...
Artículo
The one container drayage problem with soft time windows
(Elsevier, 2021)
Intermodal freight transport consists of using different modes of transport without changing the load unit. This results in a significant reduction in the time that goods spend at intermodal terminals, where transshipment ...