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Results 41-50 of 264 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
1998Use of Artificial Neural Networks for Modelling Cyanobacteria Anabaena spp. in the River Murray, South AustraliaMaier, H.; Dandy, G.; Burch, M.
2005Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a riverBowden, G.; Maier, H.; Dandy, G.
2012An improved framework for the modelling and optimisation of greenhouse gas emissions associated with water distribution systemsStokes, C.; Simpson, A.; Maier, H.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
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.
2006Optimal design of water distribution systems including water quality and system uncertaintyBroad, D.; Maier, H.; Dandy, G.; Nixon, J.; International Symposium on Water Distribution Systems Analysis (8th : 2006 : Cincinnatti, OH)
2006Forecasting cyanobacteria with Bayesian and deterministic artificial neural networksKingston, G.; Maier, H.; Lambert, M.; Yen, G.; International Joint Conference on Neural Networks (2006 : Vancouver, Canada)
2015Integrating modelling and smart sensors for environmental and human healthReis, S.; Seto, E.; Northcross, A.; Quinn, N.; Convertino, M.; Jones, R.; Maier, H.; Schlink, U.; Steinle, S.; Vieno, M.; Wimberly, M.
2012Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow modelPartington, D.; Brunner, P.; Simmons, C.; Werner, A.; Therrien, R.; Maier, H.; Dandy, G.
2017Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisationGolding, P.; Kapadia, S.; Naylor, S.; Schulz, J.; Maier, H.; Lall, U.; van der Velde, M.
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.