Jennifer Marohasy
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Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks
J Abbot, J Marohasy
Atmospheric Research 138, 166-178, 2014
Application of artificial neural networks to rainfall forecasting in Queensland, Australia
J Abbot, J Marohasy
Advances in Atmospheric Sciences 29, 717-730, 2012
The design and interpretation of host-specificity tests for weed biological control with particular reference to insect behaviour
J Marohasy
Biocontrol News and Information 19, 13N-20N, 1998
Host shifts in biological weed control: real problems, semantic difficulties or poor science?
J Marohasy
International Journal of Pest Management 42 (2), 71-75, 1996
A taxonomic revision of Cryptostegia R. Br.(Asclepiadaceae: Periplocoideae)
J Marohasy, PI Forster
Australian Systematic Botany 4 (3), 571-577, 1991
Skilful rainfall forecasts from artificial neural networks with long duration series and single-month optimization
J Abbot, J Marohasy
Atmospheric Research 197, 289-299, 2017
The gall midges (Diptera: Cecidomyiidae) of Acacia spp. (Mimosaceae) in Kenya
RJ Gagne, J Marohasy
Insecta Mundi, 77-124, 1993
Prospects for the biological control of prickly acacia, Acacia nilotica (L.) Willd. ex Del.(Mimosaceae) in Australia
J Marohasy
Plant Protection Quarterly 10, 24-24, 1995
The application of machine learning for evaluating anthropogenic versus natural climate change
J Abbot, J Marohasy
GeoResJ 14, 36-46, 2017
A leaf feeding moth,Euclasta whalleyi [Lep.: Pyralidae] for the biological control ofCryptostegia grandiflora [Asclepiadaceae] in Queensland, Australia
RE McFadyen, JJ Marohasy
Entomophaga 35, 431-435, 1990
Myth and the Murray: measuring the real state of the river environment
J Marohasy
Acceptability and suitability of seven plant species for the mealybug Phenacoccus parvus
J Marohasy
Entomologia experimentalis et applicata 84 (3), 239-246, 1997
A survey of fireweed (Senecio madagascariensis Poir) and its natural enemies in Madagascar with a view to biological control in Australia.
JJ Marohasy
Plant Protection Quarterly 4 (4), 139-145, 1989
Application of artificial neural networks to forecasting monthly rainfall one year in advance for locations within the Murray Darling basin, Australia
J Abbot, J Marohasy
International Journal of Sustainable Development and Planning 12 (8), 1282-1298, 2017
The potential benefits of using artificial intelligence for monthly rainfall forecasting for the Bowen Basin, Queensland, Australia
J Abbot, J Marohasy
Water Resources Management VII 171, 287, 2013
Importation Protocols and Risk Assessment of Weed Biological Control Agents in Australia: The Example of Carmenta nr Ithacae
T Withers, R McFadyen, J Marohasy
Nontarget effects of biological control, 195-214, 1999
Assessing the quality of eight different maximum temperature time series as inputs when using artificial neural networks to forecast monthly rainfall at Cape Otway, Australia
J Marohasy, J Abbot
Atmospheric Research 166, 141-149, 2015
Using lagged and forecast climate indices with artificial intelligence to predict monthly rainfall in the Brisbane Catchment, Queensland, Australia
J Abbot, J Marohasy
International Journal of Sustainable Development and Planning 10 (1), 29-41, 2015
Has the herbicide diuron caused mangrove dieback? A re-examination of the evidence
J Abbot, J Marohasy
Human and Ecological Risk Assessment: An International Journal 17 (5), 1077-1094, 2011
Biology and host specificity ofWeiseana barkeri (Col.: Chrysomelidae): A biological control agent forAcacia nilotica (mimosaceae)
J Marohasy
Entomophaga 39, 335-340, 1994
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