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
Yifan YangWuhan UniversityVerified email at whu.edu.cn
Mudasser Muneer KhanAssociate Professor, Bahauddin Zakariya UniversityVerified email at bzu.edu.pk
Linda SeeInternational Institute for Applied Systems AnalysisVerified email at iiasa.ac.at
Reza ShafieiPhD, University of Auckland - Senior Associate Coastal/Hydraulic Engineer, BecaVerified email at aucklanduni.ac.nz
Conrad ZornUniversity of OxfordVerified email at ouce.ox.ac.uk
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
Ataur RahmanProfessor, Water and Environmental Engineering, Western Sydney University, AustraliaVerified email at uws.edu.au
Dr. Zahid Mahmood KhanProfessor Agri Enginreeing BZU, Multan, PakistanVerified email at bzu.edu.pk
Kosal ChimUniversity of AucklandVerified email at aucklanduni.ac.nz

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	741	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	381	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	354	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	341	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	341	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	295	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	182	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	143	2001
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	137	2016
Artificial neural network model for river flow forecasting in a developing country AY Shamseldin Journal of Hydroinformatics 12 (1), 22-35, 2010	129	2010
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	125	2002
Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP) MZ Hashmi, AY Shamseldin, BW Melville Environmental Modelling & Software 26 (12), 1639-1646, 2011	121	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	121	2005
Development of rainfall–runoff models using Takagi–Sugeno fuzzy inference systems AP Jacquin, AY Shamseldin Journal of Hydrology 329 (1-2), 154-173, 2006	115	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	103	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	100	2016
Streamflow trends in western Britain H Dixon, DM Lawler, AY Shamseldin Geophysical Research Letters 33 (19), 2006	96	2006
Streamflow trends in western Britain H Dixon, DM Lawler, AY Shamseldin Geophysical Research Letters 33 (19), 2006	96	2006
Flow structures and hydrodynamic force during sediment entrainment A Dwivedi, BW Melville, AY Shamseldin, TK Guha Water Resources Research 47 (1), 2011	95	2011
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	95	2009

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