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Asaad Y. Shamseldin
Asaad Y. Shamseldin
Professor, Department of Civil & Environmental Engineering, The University of Auckland, New Zealand
Verified email at auckland.ac.nz - Homepage
Title
Cited by
Cited by
Year
Application of a neural network technique to rainfall-runoff modelling
AY Shamseldin
Journal of Hydrology 199 (3-4), 272-294, 1997
7261997
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
3771997
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
3462001
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
3332012
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
3292006
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
2782011
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
1752014
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
1382001
Artificial neural network model for river flow forecasting in a developing country
AY Shamseldin
Journal of Hydroinformatics 12 (1), 22-35, 2010
1232010
Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
MZ Hashmi, AY Shamseldin, BW Melville
Environmental Modelling & Software 26 (12), 1639-1646, 2011
1192011
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
1192005
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
1182016
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
1162002
Development of rainfall–runoff models using Takagi–Sugeno fuzzy inference systems
AP Jacquin, AY Shamseldin
Journal of Hydrology 329 (1-2), 154-173, 2006
1132006
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
1021999
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
972016
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
932009
Streamflow trends in western Britain
H Dixon, DM Lawler, AY Shamseldin
Geophysical Research Letters 33 (19), 2006
922006
Streamflow trends in western Britain
H Dixon, DM Lawler, AY Shamseldin
Geophysical Research Letters 33 (19), 2006
922006
Flow structures and hydrodynamic force during sediment entrainment
A Dwivedi, BW Melville, AY Shamseldin, TK Guha
Water Resources Research 47 (1), 2011
912011
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