1. Adelaide Research & Scholarship

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Results 11-20 of 157 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2002Predicting settlement of shallow foundations using neural networksShahin, M.; Maier, H.; Jaksa, M.
2004Use of artificial neural networks for predicting optimal alum doses and treated water quality parametersMaier, H.; Morgan, N.; Chow, C.
2004Data division for developing neural networks applied to geotechnical engineeringShahin, M.; Maier, H.; Jaksa, M.
2003Max-min ant system applied to water distribution system optimisationZecchin, A.; Maier, H.; Simpson, A.; Roberts, A.; Berrisford, M.; Leonard, M.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2003Use of artificial neural networks for modelling chlorine residuals in water distribution systemsGibbs, M.; Morgan, N.; Maier, H.; Dandy, G.; Holmes, M.; Nixon, J.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2004Applying fitness landscape measures to water distribution optimization problemsGibbs, M.; Maier, H.; Dandy, G.; Liong, S.; Phoon, K.; Babovic, V.; International Conference on Hydroinformatics (2004 : Singapore)
2005Embedding sustainability in civil and environmental engineering coursesDaniell, T.; Maier, H.; Radcliffe, D.; Humphries, J.; ASEE/AaeE Global Colloquium on Engineering Education (4th : 2005 : Sydney, Australia)
2009Sustainability trade-offs in the planning and design of cluster scale greywater reuse systemsHarnett, L.; Nicolson, J.; Tennant, R.; Dandy, G.; Maier, H.; Anderssen, R.S.; Braddock, R.D.; Newham, L.T.H.; World IMACS and MODSIM09 International Congress (18th : 2009 : Cairns, Qld)
2009Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approachFernando, T.; Maier, H.; Dandy, G.
2001Using online roleplay/simulations for creating learning experiencesMcLaughlan, R.; Kirkpatrick, D.; Hirsch, P.; Maier, H.

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