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Preview	Issue Date	Title	Author(s)
	1998	Use of Artificial Neural Networks for Modelling Cyanobacteria Anabaena spp. in the River Murray, South Australia	Maier, H.; Dandy, G.; Burch, M.
	2005	Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river	Bowden, G.; Maier, H.; Dandy, G.
	2012	An improved framework for the modelling and optimisation of greenhouse gas emissions associated with water distribution systems	Stokes, C.; Simpson, A.; Maier, H.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
	2018	On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven models	Zheng, F.; Maier, H.; Wu, W.; Dandy, G.; Gupta, H.; Zhang, T.
	2006	Optimal design of water distribution systems including water quality and system uncertainty	Broad, D.; Maier, H.; Dandy, G.; Nixon, J.; International Symposium on Water Distribution Systems Analysis (8th : 2006 : Cincinnatti, OH)
	2006	Forecasting cyanobacteria with Bayesian and deterministic artificial neural networks	Kingston, G.; Maier, H.; Lambert, M.; Yen, G.; International Joint Conference on Neural Networks (2006 : Vancouver, Canada)
	2015	Integrating modelling and smart sensors for environmental and human health	Reis, S.; Seto, E.; Northcross, A.; Quinn, N.; Convertino, M.; Jones, R.; Maier, H.; Schlink, U.; Steinle, S.; Vieno, M.; Wimberly, M.
	2012	Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model	Partington, D.; Brunner, P.; Simmons, C.; Werner, A.; Therrien, R.; Maier, H.; Dandy, G.
	2017	Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation	Golding, P.; Kapadia, S.; Naylor, S.; Schulz, J.; Maier, H.; Lall, U.; van der Velde, M.
	2018	Better understanding of the capacity of pressure sensor systems to detect pipe burst within water distribution networks	Qi, Z.; Zheng, F.; Guo, D.; Maier, H.; Zhang, T.; Yu, T.; Shao, Y.