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PreviewIssue DateTitleAuthor(s)
2002Artificial neural network-based settlement prediction formula for shallow foundations on granular soilsShahin, M.; Jaksa, M.; Maier, H.
2002Ant colony optimisation of a general regression neural network for forecasting water qualityBowden, G.; Dandy, G.; Maier, H.; International Conference on Hydroinformatics (5th : 2002 : Cardiff, Great Britain)
2002An international comparative study of artificial neural network techniques for river stage forecastingAbrahart, R.; Anctil, F.; Bowden, G.; Dandy, G.; Maier, H.; Campolo, M.; Soldati, A.; Cannas, B.; Fanni, A.; Dawson, C.; Dulal, K.; Elshorbagy, A.; Hall, M.; Varoonchotikul, P.; Imrie, C.; Jain, S.; Jayawardena, A.; Fernando, T.; Liong, S.; Doan, C.; et al.; Bradley, C.; Hannah, D.; National Hydrology Symposium (8th : 2002 : Birmingham, U.K.)
2002Use of Artificial Intelligence Techniques for the Estimation of Cyanobacteria (Blue-Green Algae) ConcentrationsLauzon, N.; Lence, B.; Maier, H.; Canadian Society for Civil Engineers. Annual Conference (30th : 2002 : Montreal, Canada)
2002Optimal division of data for neural network models in water resources applicationsBowden, G.; Maier, H.; Dandy, G.
2002The role of reliability, vulnerability and resilience in the management of water quality systemsMaier, H.; Lence, B.; Tolson, B.; David Sheehan,; Hydrology and Water Resources Symposium (27th : 2002 : Melbourne, Vic.)
2002Developing scholarship through collaboration in an online roleplay-simulation: Mekong eSim, a case studyKirkpatrick, D.; McLaughlan, R.; Maier, H.; Hirsch, P.; Anne Fernandez,; Scholarly Inquiry in Flexible Science Teaching and Learning Symposium (2002 : Sydney, N.S.W.)
2002Effectiveness of flow management in reducing the risk of cyanobacterial blooms in riversClark, T.; Humphrey, G.; Frazer, A.; Sanderson, A.; Maier, H.; David Sheehan,; Hydrology and Water Resources Symposium (27th : 2002 : Melbourne, Vic.)
2002Predicting settlement of shallow foundations using neural networksShahin, M.; Maier, H.; Jaksa, M.

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