Skip to Main Content
Umbrella Alt Text
header search
Search
Advanced Search
Cart
Skip Nav Destination

Asset deterioration analysis using multi-utility data and multi-objective data mining

Journal of Hydroinformatics (2009) 11 (3-4): 211–224.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review
  • Edwar Forero-Ortiz
  • Eduardo Martinez-Gomariz
  • Marti Sanchez-Juny
  • Jaume Cardus Gonzalez
  • Fernando Cucchietti
  • Ferran Baque Viader
  • Miquel Sarrias Monton
Applied Water Science (2023) 13 (11)
Evaluation of River Water Quality Index Using Remote Sensing and Artificial Intelligence Models
  • Mohammad Najafzadeh
  • Sajad Basirian
Remote Sensing (2023) 15 (9): 2359.
Techno-economic estimation of a non-cover box solar still with thermoelectric and antiseptic nanofluid using machine learning models
  • Saeed Nazari
  • Mohammad Najafzadeh
  • Roonak Daghigh
Applied Thermal Engineering (2022) 212: 118584.
A dual search-based EPR with self-adaptive offspring creation and compromise programming model selection
  • Guilherme José Cunha Gomes
  • Ruan Gonçalves de Souza Gomes
  • Eurípedes do Amaral Vargas
Engineering with Computers (2022) 38 (S3): 2155.
Reliability evaluation of groundwater quality index using data-driven models
  • Mohammad Najafzadeh
  • Farshad Homaei
  • Sedigheh Mohamadi
Environmental Science and Pollution Research (2022) 29 (6): 8174.
A hybrid multi-step sensitivity-driven evolutionary polynomial regression enables robust model structure selection
  • Ruan G.S. Gomes
  • Guilherme J.C. Gomes
  • Jasper A. Vrugt
Engineering Applications of Artificial Intelligence (2022) 116: 105421.
Performance Evaluation of Pipe Break Machine Learning Models Using Datasets from Multiple Utilities
  • Thomas Ying-Jeh Chen
  • Greta Vladeanu
  • Sepideh Yazdekhasti
  • Craig Michael Daly
Journal of Infrastructure Systems (2022) 28 (2)
Sediment Level Prediction of a Combined Sewer System Using Spatial Features
  • Marc Ribalta
  • Carles Mateu
  • Ramon Bejar
  • Edgar Rubión
  • Lluís Echeverria
  • Francisco Javier Varela Alegre
  • Lluís Corominas
Sustainability (2021) 13 (7): 4013.
Combining Machine Learning and Survival Statistics to Predict Remaining Service Life of Watermains
  • Brett Snider
  • Edward A. McBean
Journal of Infrastructure Systems (2021) 27 (3)
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models
  • Mohammad Najafzadeh
  • Farshad Homaei
  • Hadi Farhadi
Artificial Intelligence Review (2021) 54 (6): 4619.
More reliable predictions of clear-water scour depth at pile groups by robust artificial intelligence techniques while preserving physical consistency
  • Mohammad Najafzadeh
  • Giuseppe Oliveto
Soft Computing (2021) 25 (7): 5723.
Exploring 3D Wave-Induced Scouring Patterns around Subsea Pipelines with Artificial Intelligence Techniques
  • Mohammad Najafzadeh
  • Giuseppe Oliveto
Applied Sciences (2021) 11 (9): 3792.
An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties
  • Yin-Fu Jin
  • Zhen-Yu Yin
Acta Geotechnica (2020) 15 (8): 2053.
Watermain breaks and data: the intricate relationship between data availability and accuracy of predictions
  • Brett Snider
  • Edward A. McBean
Urban Water Journal (2020) 17 (2): 163.
Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets
  • Mohammad Najafzadeh
  • Ali Reza Kargar
Journal of Pipeline Systems Engineering and Practice (2019) 10 (3)
Statistical comparison of the performance of data-based models for sewer condition modeling
  • Vitor Sousa
  • José P. Matos
  • Natércia Matias
  • Inês Meireles
Structure and Infrastructure Engineering (2019) 15 (12): 1680.
Prediction of water quality parameters using evolutionary computing-based formulations
  • M. Najafzadeh
  • A. Ghaemi
  • S. Emamgholizadeh
International Journal of Environmental Science and Technology (2019) 16 (10): 6377.
A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems
  • Sattar Salehi
  • Mohammadreza Jalili Ghazizadeh
  • Massoud Tabesh
Structure and Infrastructure Engineering (2018) 14 (6): 743.
Sewer Condition Prediction and Analysis of Explanatory Factors
  • Tuija Laakso
  • Teemu Kokkonen
  • Ilkka Mellin
  • Riku Vahala
Water (2018) 10 (9): 1239.
Pipe Failure Prediction in Water Distribution Systems Considering Static and Dynamic Factors
  • Raziyeh Farmani
  • Konstantinos Kakoudakis
  • Kourosh Behzadian
  • David Butler
Procedia Engineering (2017) 186: 117.
Analyzing the occurrence of an invasive aquatic fern in wetland using data-driven and multivariate techniques
  • Roghayeh Sadeghi
  • Rahmat Zarkami
  • Patrick Van Damme
Wetlands Ecology and Management (2017) 25 (4): 485.
Oriented review to potential simulator for faults modeling in diesel engine
  • Hassan Moussa Nahim
  • Rafic Younes
  • Hassan Shraim
  • Mustapha Ouladsine
Journal of Marine Science and Technology (2016) 21 (3): 533.
Detecting anomalies in water distribution networks using EPR modelling paradigm
  • Daniele Laucelli
  • Michele Romano
  • Dragan Savić
  • Orazio Giustolisi
Journal of Hydroinformatics (2016) 18 (3): 409.
Multivariate data mining for estimating the rate of discolouration material accumulation in drinking water distribution systems
  • S. R. Mounce
  • E. J. M. Blokker
  • S. P. Husband
  • W. R. Furnass
  • P. G. Schaap
  • J. B. Boxall
Journal of Hydroinformatics (2016) 18 (1): 96.
Predictive risk modelling of real-world wastewater network incidents
  • James Bailey
  • Edward Keedwell
  • Slobodan Djordjevic
  • Zoran Kapelan
  • Chris Burton
  • Emma Harris
Procedia Engineering (2015) 119: 1288.
Evaluation of artificial intelligence tool performance and uncertainty for predicting sewer structural condition
  • Vitor Sousa
  • José P. Matos
  • Natércia Matias
Automation in Construction (2014) 44: 84.
Review on water leakage control in distribution networks and the associated environmental benefits
  • Qiang Xu
  • Ruiping Liu
  • Qiuwen Chen
  • Ruonan Li
Journal of Environmental Sciences (2014) 26 (5): 955.
Assessing impacts of the private sewer transfer on UK utilities
  • Ben Ward
  • Andrew Selby
  • Simon Gee
  • Steve Rosser
  • Dragan Savić
Infrastructure Asset Management (2014) 1 (2): 23.
Wastewater treatment by ultrafiltration system, considering the effects of operating conditions: experimental and modeling
  • Amin Reyhani
  • Mahmood Hemmati
Desalination and Water Treatment (2014) 52 (34-36): 6282.
Multivariate Data Mining for Estimating the Rate of Discoloration Material Accumulation in Drinking Water Systems
  • S.R. Mounce
  • S.P. Husband
  • W.R. Furnass
  • J.B. Boxall
Procedia Engineering (2014) 89: 173.
Comparison of Interpolation, Statistical, and Data-Driven Methods for Imputation of Missing Values in a Distributed Soil Moisture Dataset
  • Kurt Kornelsen
  • Paulin Coulibaly
Journal of Hydrologic Engineering (2014) 19 (1): 26.
Monitoring and modelling to support wastewater system management in developing mega-cities
  • Juan Pablo Rodríguez
  • Neil McIntyre
  • Mario Díaz-Granados
  • Juan Pablo Quijano
  • Čedo Maksimović
Science of The Total Environment (2013) 445-446: 79.
Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network
  • Qiang Xu
  • Qiuwen Chen
  • Jinfeng Ma
  • Koen Blanckaert
Journal of Hydro-environment Research (2013) 7 (2): 134.
A database and model to support proactive management of sediment-related sewer blockages
  • Juan Pablo Rodríguez
  • Neil McIntyre
  • Mario Díaz-Granados
  • Čedo Maksimović
Water Research (2012) 46 (15): 4571.
Pipe break prediction based on evolutionary data-driven methods with brief recorded data
  • Qiang Xu
  • Qiuwen Chen
  • Weifeng Li
  • Jinfeng Ma
Reliability Engineering & System Safety (2011) 96 (8): 942.
Network condition simulator for benchmarking sewer deterioration models
  • A. Scheidegger
  • T. Hug
  • J. Rieckermann
  • M. Maurer
Water Research (2011) 45 (16): 4983.
  • IWA Publishing
  • Republic – Export Building, Units 1.04 & 1.05
  • 1 Clove Crescent
  • London, E14 2BA, UK
  • Telephone: +44 208 054 8202
  • Fax: +44 207 654 5555
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.
Accept