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Showing results 7963 to 7982 of 11383 < previous   next >
PreviewIssue DateTitleAuthor(s)
2001Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithmsWigham, P.; Recknagel, F.
2001Predicting critical depth in straight compound channelsLee, P.; Lambert, M.; Simpson, A.; Michael Wallis,; Conference on Hydraulics in Civil Engineering (6th : 2001 : Hobart, Tas.)
2013Predicting dental avoidance among dentally fearful Australian adultsArmfield, J.
2012Predicting ecosystem shifts requires new approaches that integrate the effects of climate change across entire systemsRussell, B.; Harley, C.; Wernberg, T.; Mieszkowska, N.; Widdicombe, S.; Hall-Spencer, J.; Connell, S.
2001Predicting eutrophication effects in the Burrinjuck Reservoir (Australia) by means of the deterministic model SALMO and the recurrent neural network model ANNAWalter, M.; Recknagel, F.; Carpenter, C.; Bormans, M.
2020Predicting geographic ranges of marine animal populations using stable isotopes: a case study of great hammerhead sharks in eastern AustraliaRaoult, V.; Trueman, C.N.; Kingsbury, K.M.; Gillanders, B.M.; Broadhurst, M.K.; Williamson, J.E.; Nagelkerken, I.; Booth, D.J.; Peddemors, V.; Couturier, L.I.E.; Gaston, T.F.
2016Predicting international visitors’ interest in Hong Kong arts festivalBoyle, S.; Reaiche, C.; Murad, W.; Abdullah, A.
2007Predicting mistletoe seed shadow and patterns of seed rain from movements of the mistletoebird Dicaeum hirundinaceumWard, M.; Paton, D.
2023Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markersMcNamara, A.; Ellul, B.; Baetu, I.-I.; Lau, S.; Jenkinson, M.; Collins-Praino, L.; 6th World Parkinson Congress (4 Jul 2023 - 7 Jul 2023 : Barcelona, Spain)
2009Predicting reproductive success of insect- versus bird-pollinated scattered trees in agricultural landscapesOttewell, K.; Donnellan, S.; Lowe, A.; Paton, D.
2006Predicting runoff and phosphorus loads from variable source areas: A terrain-based spatial modelling approachDavies, P.; Cox, J.; Fleming, N.; Dougherty, W.; Nash, D.; Hutson, J.
2002Predicting settlement of shallow foundations using neural networksShahin, M.; Maier, H.; Jaksa, M.
2012Predicting the distribution of commercially important invertebrate stocks under future climateRussell, B.; Connell, S.; Mellin, C.; Brook, B.; Burnell, O.; Fordham, D.; Van Niel, K.P.
2009Predicting the distribution of fungal crop diseases from abiotic and biotic factors using multi-layer perceptronsWatts, M.; Worner, S.; International Conference on Neural Information Processing (15th : 2008 : Auckland, New Zealand)
2014Predicting the drawing conditions for microstructured optical fiber fabricationKostecki, R.; Ebendorff-Heidepriem, H.; Warren-Smith, S.; Monro, T.
2009Predicting the rate of oxygen consumption from heart rate in barnacle geese Branta leucopsis: effects of captivity and annual changes in body conditionPortugal, S.; Green, J.; Cassey, P.; Frappell, P.; Butler, P.
2007Predicting the response of wheat (Triticum aestivum L.) to liquid and granular phosphorus fertilisers in Australian soilsMcBeath, T.; McLaughlin, M.; Armstrong, R.; Bell, M.; Bolland, M.; Conyers, M.; Holloway, R.; Mason, S.
2007Predicting the Risk from Cadmium Transfer to Crops from Soils Amended with BiosolidsMcLaughlin, M.; Whatmuff, M.; Warne, M.; Heemsbergen, D.; Barry, G.; Bell, M.; Nash, D.; Pritchard, D.; Penney, N.; Ozwater Convention & Exhibiton (4th -8th March 2007 : Sydney, New South Wales)
2000Predicting the settlement of shallow foundations on cohesionless soils using back-propagation neural networksShahin, Mohamed Amin; Jaksa, Mark Brian; Maier, Holger R.
2009Predicting the timing and magnitude of tropical mosquito population peaks for maximizing control efficiencyYang, G.; Brook, B.; Bradshaw, C.; Zhou, X.-N.
Showing results 7963 to 7982 of 11383 < previous   next >