1. Adelaide Research & Scholarship

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Results 1-10 of 11 (Search time: 0.007 seconds).
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PreviewIssue DateTitleAuthor(s)
2022Improved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation SystemWang, Y.; Zhao, Q.; Wu, W.; Willis, A.; Simpson, A.R.; Weyer, E.; IFAC Workshop on Control Methods for Water Resource Systems (CMWRS) (22 Sep 2022 - 23 Sep 2022 : Milano, ITALY)
2020Artificial neural network based hybrid modeling approach for flood inundation modelingXie, S.; Wu, W.; Mooser, S.; Wang, Q.J.; Nathan, R.; Huang, Y.
2022Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecastingYang, Q.; Wang, Q.J.; Western, A.W.; Wu, W.; Shao, Y.; Hakala, K.
2022An IUWM incorporated model to improve water supply reliability in intermittent and no service areasMohapatra, S.S.; Wu, W.; Tiwari, M.K.; Arora, M.
2022Simpler Is Better-Calibration of Pipe Roughness in Water Distribution SystemsZhao, Q.; Wu, W.; Simpson, A.R.; Willis, A.
2022Upskilling low‐fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learningFraehr, N.; Wang, Q.J.; Wu, W.; Nathan, R.
2022A review of micro hydro systems in urban areas: Opportunities and challengesBoroomandnia, A.; Rismanchi, B.; Wu, W.
2021A framework for engaging stakeholders in solving real-world water resources management problemsWu, W.; Maier, H.R.; Dandy, G.C.; Leonard, R.; Bellette, K.; Cuddy, S.M.; Maheepala, S.; International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 10 Dec 2021 : Sydney, NSW, Australia)
2021Beyond validation: assessing the legitimacy of artificial neural network modelsHumphrey, G.; Maier, H.; Wu, W.; Mount, N.; Dandy, G.; Dawson, C.; International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 10 Dec 2021 : Sydney, NSW, Australia)
2021Python program for spatial reduction and reconstruction method in flood inundation modellingZhou, Y.; Wu, W.; Nathan, R.; Wang, Q.J.

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