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A comparison of machine learning classifiers for leak detection and isolation in urban networks

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A comparison of machine learning classifiers for leak detection and isolation in urban networks

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Carreño-Alvarado, EP.; Reynoso-Meza, G.; Montalvo, I.; Izquierdo Sebastián, J. (2017). A comparison of machine learning classifiers for leak detection and isolation in urban networks. International Center for Numerical Methods in Engineering (CIMNE). 1545-1552. http://hdl.handle.net/10251/160954

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Title: A comparison of machine learning classifiers for leak detection and isolation in urban networks
Author: Carreño-Alvarado, Elizabeth P. Reynoso-Meza, Gilberto Montalvo, Idel Izquierdo Sebastián, Joaquín
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[Otros] Leak detection and isolation (LDI) is a problem of interest for water management companies and their technical staff. Main reasons for this are that early detection of leakages can reduce dramatically (1) water ...[+]
Subjects: Leak detection , Machine learning , Water distribution system , Urban network , Hanoi network
Copyrigths: Cerrado
ISBN: 978-84-947311-0-5
Publisher:
International Center for Numerical Methods in Engineering (CIMNE)
Conference name: Congreso de Métodos Numéricos en Ingeniería (CMN 2017)
Conference place: Valencia, Spain
Conference date: Julio 03-05,2017
Project ID:
CNPq/PQ-2/304066/2016-8
Thanks:
The first author acknowledges SEMNI for providing registration fees for this conference. The second author would like to acknowledge the National Council of Scientific and Technological Development of Brazil (CNPq) for ...[+]
Type: Comunicación en congreso Capítulo de libro

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