Found 22 results[ Author] Title Type Year
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Comparative analysis of cutaneous evaporative water loss in frogs demonstrates correlation with ecological habits. Physiological and Biochemical Zoology, 78(5), pp.847 - 856. Available at: http://espace.cdu.edu.au/view/cdu:1857., 2005.
Rates of cutaneous evaporative water loss of native Fijian frogs. Copeia, 2006(1), pp.83 - 88. Available at: http://espace.cdu.edu.au/view/cdu:2162., 2006.
Habitat use and behaviour of birds in areas invaded by buffel grass (Cenchrus ciliaris L.) and in restored habitat. Wildlife Research, 41, pp.379-394., 2014.
Fire ecology and Aboriginal land management in central Arnhem Land, northern Australia: a tradition of ecosystem management. Journal of Biogeography, 28(3), pp.325 - 343. Available at: http://espace.cdu.edu.au/view/cdu:345., 2001.
Climate control of terrestrial carbon exchange across biomes and continents. Environmental Research Letters, 5., 2010.
Big fires and their ecological impacts in Australian savannas: size and frequency matters. International Journal of Wildland Fire, 17(6), pp.768 - 781. Available at: http://dx.doi.org/10.1071/WF07150., 2008.
From little things, big things grow; trends and fads in 110 years of Australian ornithology. Scientometrics, 98(3), pp.2235 - 2254. Available at: http://link.springer.com/10.1007/s11192-013-1144-zhttp://link.springer.com/content/pdf/10.1007/s11192-013-1144-z., 2014.
Comparative Study in Predicting the Global Solar Radiation for Darwin, Australia. Journal of Solar Energy Engineering, 134(3), p.034501., 2012.
Emissions predictive modelling by investigating various neural network models. Expert Systems with Applications, 39(3), pp.2421 - 2426., 2012.
Performance Monitoring and Evaluation of a CIGS Roof-Integrated Photovoltaic System under the Unique Tropical Environment of Darwin, Northern Territory. In 2014 Asia-Pacific Solar Research Conference. 2014 Asia-Pacific Solar Research Conference. Sydney. Available at: http://apvi.org.au/solar-research-conference/wp-content/uploads/2015/04/3-Kean-Yap_APVI_PVPerformance_PeerReviewed.pdf., 2014.
Performance modelling and simulation of a hybrid electric scooter. International Journal of Electric and Hybrid Vehicles, 2(1), p.43., 2009.
Comparative analysis of artificial neural networks and dynamic models as virtual sensors. Applied Soft Computing, 13(1), pp.181 - 188., 2013.
Roost characteristics of invasive mynas in Singapore. Journal of Wildlife Management, 66(4), pp.1118 - 1127. Available at: http://espace.cdu.edu.au/view/cdu:614., 2002.
ANN virtual sensors for emissions prediction and control. Applied Energy, 88(12), pp.4505 - 4516., 2011.
Modelling and simulation of a hybrid scooter. International Journal of Electrical and Electronics Engineering, 2(11)., 2008.
Performance simulation and predictive model for a multi-mode parallel hybrid electric scooter drive. International Journal of Energy Research, 34(1), pp.67 - 83., 2009.
Control system for plug-in hybrid hydrogen fuel cell scooter. In Proceedings of International Conference on Modelling and Simulation (CITICOMS-2007). Proceedings of International Conference on Modelling and Simulation (CITICOMS-2007). Coimbatore, India., 2007.
Regenerative energy control system for plug‐in hydrogen fuel cell scooter. International Journal of Energy Research, 32(9), pp.783 - 792., 2008.
Exhaust emissions control and engine parameters optimization using artificial neural network virtual sensors for a hydrogen-powered vehicle. International Journal of Hydrogen Energy, 37(10), pp.8704 - 8715., 2012.