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PreviewIssue DateTitleAuthor(s)
2018A comprehensive framework to evaluate hydraulic and water quality impacts of pipe breaks on water distribution systemsQi, Z.; Zheng, F.; Guo, D.; Zhang, T.; Shao, Y.; Yu, T.; Zhang, K.; Maier, H.
2018On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven modelsZheng, F.; Maier, H.; Wu, W.; Dandy, G.; Gupta, H.; Zhang, T.
2016Integrated approach for optimizing the design of aquifer storage and recovery stormwater harvesting schemes accounting for externalities and climate changeMarchi, A.; Dandy, G.; Maier, H.
2018Enhancing the policy relevance of exploratory scenarios: generic approach and application to disaster risk reductionRiddell, G.; van Delden, H.; Dandy, G.; Zecchin, A.; Maier, H.
2018Better understanding of the capacity of pressure sensor systems to detect pipe burst within water distribution networksQi, Z.; Zheng, F.; Guo, D.; Maier, H.; Zhang, T.; Yu, T.; Shao, Y.
2001Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy modelsMaier, H.; Sayed, T.; Lence, B.
1997The use of artificial neural networks for the prediction of water quality parameters - ReplyMaier, H.; Dandy, G.
1996The use of artificial neural networks for the prediction of water quality parametersMaier, H.; Dandy, G.
2016Framework for computationally efficient optimal crop and water allocation using ant colony optimizationNguyen, D.; Maier, H.; Dandy, G.; Ascough, J.
2017Improved validation framework and R-package for artificial neural network modelsHumphrey, G.; Maier, H.; Wu, W.; Mount, N.; Dandy, G.; Abrahart, R.; Dawson, C.