2013_aisb_water_systems

There are 7 entries in this file. Use ‘View Page Source’ in the top right hand corner of the page for the raw bibtex. Entries are coloured according to their type:

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RAPIDS: Early Warning System for Urban Flooding and Water Quality Hazards
(duncan13__rapid_)
Duncan, Andrew and Chen, Albert and Keedwell, Edward and Djordjević, Slobodan and Savić, Dragan
A comparative study of artificial neural network architectures for time series prediction of water distribution system flow data
(mounce13_)
Dynamically Integrated Project Portfolio Planning to Accommodate Asset Management Plan Cycles in the UK Water Industry
(pakgohar13__dynam_integ_projec_portf_plann_)
Pakgohar, Alireza and Zhang, David Z. and Ward, Sarah
Rare events and extreme flood predictions: An Application of Monte Carlo based Statistical Blockade
(remesan13__rare_)
Remesan, Renji and Mathew, Jimson and Holman, Ian
Proceedings of the AISB 2013 Symposium on Machine Learning In Water Systems
(savic13:_proceed_aisb_sympos_machin_learn_)
Savić, Dragan (eds).
ISBN: 978-1-908187-33-8
URL: Link
Modelling dynamic systems using a hybrid approach
(skerjanec13__model_)
Skerjanec, Mateja and Cerepnalkoski, Darko and Dzeroski, Saso and Kompare, Boris and Atanasova, Natasa
Optimisation of Water Treatment Works using Static and Dynamic Models with an NSGAII Genetic Algorithm
(swan13__optim_water_treat_works_static_)
Swan, Roger and Bridgeman, John and Sterling, Mark