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PreviewIssue DateTitleAuthor(s)
2000Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applicationsMaier, H.; Dandy, G.
2005A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision makingHyde, K.; Maier, H.; Colby, C.
2004Data division for developing neural networks applied to geotechnical engineeringShahin, M.; Maier, H.; Jaksa, M.
2004Risk-based approach for assessing the effectiveness of flow management in controlling cyanobacterial blooms in riversMaier, H.; Humphrey, G.; Clark, T.; Frazer, A.; Sanderson, A.
2001Flow management strategies to control blooms of the cyanobacterium, Anabaena circinalis, in the River Murray at Morgan, South AustraliaMaier, H.; Burch, M.; Bormans, M.
2008Non-linear variable selection for artificial neural networks using partial mutual informationMay, R.; Maier, H.; Dandy, G.; Fernando, T.
2010Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directionsMaier, H.; Jain, A.; Dandy, G.; Sudheer, K.
2013Selecting among five common modelling approaches for integrated environmental assessment and managementKelly, R.; Jakeman, A.; Barreteau, O.; Borsuk, M.; ElSawah, S.; Hamilton, S.; Henriksen, H.; Kuikka, S.; Maier, H.; Rizzoli, A.; van Delden, H.; Voinov, A.
2013Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply systemPaton, F.; Maier, H.; Dandy, G.
2011An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agricultureRowan, T.; Maier, H.; Connor, J.; Dandy, G.