Asaad Y. Shamseldin

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Bruce MelvilleThe University of AucklandVerified email at auckland.ac.nz
Muhammad ShoaibDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, PakistanVerified email at aucklanduni.ac.nz
Christian DawsonComputer Science, Loughborough UniversityVerified email at lboro.ac.uk
Mudasser Muneer KhanAssociate Professor, Bahauddin Zakariya UniversityVerified email at bzu.edu.pk
Dr.Muhammad Zia ur Rahman HashmiEnvironmental Science Center, Qatar UniversityVerified email at aucklanduni.ac.nz
Yifan YangWuhan UniversityVerified email at whu.edu.cn
Linda SeeInternational Institute for Applied Systems AnalysisVerified email at iiasa.ac.at
Conrad ZornUniversity of OxfordVerified email at ouce.ox.ac.uk
Reza ShafieiPhD, University of Auckland - Senior Associate Coastal/Hydraulic Engineer, BecaVerified email at aucklanduni.ac.nz
Robert WilbyProfessor of Hydroclimatic Modelling, Geography and Environment, Loughborough UniversityVerified email at lboro.ac.uk
Monomoy GoswamiCentral Institute of Technology Kokrajhar, Assam, IndiaVerified email at cit.ac.in
Liam WotherspoonUniversity of AucklandVerified email at auckland.ac.nz
Dimitri SolomatineUNESCO-IHE Institute fro Water EducationVerified email at unesco-ihe.org
François AnctilUniversté LavalVerified email at gci.ulaval.ca
Paulin CoulibalyProfessor, McMaster UniversityVerified email at mcmaster.ca
Sher KhanDepartment of Civil and Environmental Engineering, The University of Auckland, New ZealandVerified email at aucklanduni.ac.nz
Elena TothAssociate Professor of Hydrology and Water EngineeringVerified email at unibo.it
N.A.K. NandasenaUnited Arab Emirates UniversityVerified email at uaeu.ac.ae
Dr. Zahid Mahmood KhanProfessor Agri Enginreeing BZU, Multan, PakistanVerified email at bzu.edu.pk
Ataur RahmanProfessor, Water and Environmental Engineering, Western Sydney University, AustraliaVerified email at uws.edu.au

Asaad Y. Shamseldin

Professor, Department of Civil & Environmental Engineering, The University of Auckland, New Zealand

Verified email at auckland.ac.nz - Homepage

Water Engineering


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Application of a neural network technique to rainfall-runoff modelling AY Shamseldin Journal of Hydrology 199 (3-4), 272-294, 1997	727	1997
Methods for combining the outputs of different rainfall–runoff models AY Shamseldin, KM O'Connor, GC Liang Journal of Hydrology 197 (1-4), 203-229, 1997	378	1997
A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi–Sugeno fuzzy system L Xiong, AY Shamseldin, KM O'connor Journal of hydrology 245 (1-4), 196-217, 2001	347	2001
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting RJ Abrahart, F Anctil, P Coulibaly, CW Dawson, NJ Mount, LM See, ... Progress in Physical Geography 36 (4), 480-513, 2012	333	2012
Flood estimation at ungauged sites using artificial neural networks CW Dawson, RJ Abrahart, AY Shamseldin, RL Wilby Journal of hydrology 319 (1-4), 391-409, 2006	329	2006
Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed MZ Hashmi, AY Shamseldin, BW Melville Stochastic Environmental Research and Risk Assessment 25, 475-484, 2011	278	2011
Comparative study of different wavelet based neural network models for rainfall–runoff modeling M Shoaib, AY Shamseldin, BW Melville Journal of Hydrology 515, 47-58, 2014	176	2014
A non-linear neural network technique for updating of river flow forecasts AY Shamseldin, KM O’connor Hydrology and Earth System Sciences 5 (4), 577-598, 2001	138	2001
Artificial neural network model for river flow forecasting in a developing country AY Shamseldin Journal of Hydroinformatics 12 (1), 22-35, 2010	124	2010
Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP) MZ Hashmi, AY Shamseldin, BW Melville Environmental Modelling & Software 26 (12), 1639-1646, 2011	119	2011
Assessing the performance of eight real-time updating models and procedures for the Brosna River M Goswami, KM O'Connor, KP Bhattarai, AY Shamseldin Hydrology and Earth System Sciences 9 (4), 394-411, 2005	119	2005
Experimental investigation of tsunami bore impact force and pressure on a square prism S Shafiei, BW Melville, AY Shamseldin Coastal Engineering 110, 1-16, 2016	118	2016
Comparison of different forms of the multi-layer feed-forward neural network method used for river flow forecasting AY Shamseldin, AE Nasr, KM O’connor hydrology and earth system sciences 6 (4), 671-684, 2002	116	2002
Development of rainfall–runoff models using Takagi–Sugeno fuzzy inference systems AP Jacquin, AY Shamseldin Journal of Hydrology 329 (1-2), 154-173, 2006	113	2006
A real-time combination method for the outputs of different rainfall-runoff models AY Shamseldin, KM O'CONNOR Hydrological sciences journal 44 (6), 895-912, 1999	102	1999
A comparison between wavelet based static and dynamic neural network approaches for runoff prediction M Shoaib, AY Shamseldin, BW Melville, MM Khan Journal of Hydrology 535, 211-225, 2016	97	2016
Statistical downscaling of precipitation: state-of-the-art and application of bayesian multi-model approach for uncertainty assessment MZ Hashmi, AY Shamseldin, BW Melville Hydrology and Earth System Sciences Discussions 6 (5), 6535-6579, 2009	93	2009
Streamflow trends in western Britain H Dixon, DM Lawler, AY Shamseldin Geophysical Research Letters 33 (19), 2006	92	2006
Streamflow trends in western Britain H Dixon, DM Lawler, AY Shamseldin Geophysical Research Letters 33 (19), 2006	92	2006
Flow structures and hydrodynamic force during sediment entrainment A Dwivedi, BW Melville, AY Shamseldin, TK Guha Water Resources Research 47 (1), 2011	91	2011

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