Asaad Y. Shamseldin

发表

Statistically downscaled probabilistic multi‐model ensemble projections of precipitation change in a watershed

Muhammad Zaffar Hashmi, Asaad Y. Shamseldin, Bruce W. Melville, 2013 .

Discussion of “Evapotranspiration modelling using support vector machines”

Asaad Y. Shamseldin, Robert J. Abrahart, Linda See, 2010 .

A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi–Sugeno fuzzy system

Asaad Y. Shamseldin, Lihua Xiong, Kieran M. O'Connor, 2001 .

Regional flood estimation in Australia : application of gene expression programming and artificial neural network techniques

Asaad Y. Shamseldin, Ataur Rahman, Muhammad Shoaib, 2013 .

Review of the Applications of Neural Networks and Fuzzy Systems in Hydrological Modelling

Asaad Y. Shamseldin, 2004 .

THE DEPENDENCE OF NATIONAL TRANSPORTATION INFRASTRUCTURE ON ELECTRICITY

Asaad Y. Shamseldin, Raghav Pant, Scott Thacker, 2016 .

A comparison between wavelet based static and dynamic neural network approaches for runoff prediction

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2016 .

A comparative study of three neural network forecast combination methods for simulated river flows of different rainfall—runoff models

Asaad Y. Shamseldin, Kieran M. O'Connor, Ahmed Elssidig Nasr, 2007 .

A non-linear neural network technique for updating of river flow forecasts

Asaad Y. Shamseldin, Kieran M. O'Connor, A. Shamseldin, 2001 .

Preliminary investigation of the tsunami-borne debris Impact on structures: A new method for impact force measurement

Asaad Y. Shamseldin, Bruce W. Melville, Sherif Beskhyroun, 2014 .

USE OF A NEURAL NETWORK ALGORITHM IN MULTIPLE-SENSOR WEIGH-IN-MOTION

Asaad Y. Shamseldin, Eugene J. O'Brien, B. J. Black, 2002 .

A wavelet based approach for combining the outputs of different rainfall–runoff models

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2016, Stochastic Environmental Research and Risk Assessment.

Quantifying Directional Dependencies from Infrastructure Restoration Data

Asaad Y. Shamseldin, Conrad R. Zorn, 2016 .

Knowledge Extraction from Artificial Neural Networks for Rainfall-Runoff Model Combination Systems

Asaad Y. Shamseldin, Bruce W. Melville, Phanida Phukoetphim, 2014 .

Hybrid Wavelet Neural Network Approach

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2016 .

Multiple-sensor weigh-in-motion of road vehicles using a neural network algorithm

Asaad Y. Shamseldin, Eugene J. O'Brien, B. J. Black, 2000 .

Role of hidden neurons in a RBF type ANN in stream flow forecasting

Asaad Y. Shamseldin, Achela Fernando, A. Fernando, 2007 .

Investigation of Flow Patterns in Storm Water Retention Ponds using CFD

Asaad Y. Shamseldin, Bruce W. Melville, Sher Khan, 2013 .

Post-disaster infrastructure restoration: A comparison of events for future planning

Asaad Y. Shamseldin, Conrad R. Zorn, A. Shamseldin, 2015 .

Quantifying uplift loads on pile supported wharf structures, part 1: Tsunami bore

Asaad Y. Shamseldin, Bruce W. Melville, Liam Wotherspoon, 2015 .

Ideal point error for model assessment

Asaad Y. Shamseldin, Robert J. Abrahart, Nick J. Mount, 2012 .

Mitigation effect of vertical walls on wharf model subjected to tsunami bores

Asaad Y. Shamseldin, Bruce W. Melville, Cheng Chen, 2017 .

Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling

Asaad Y. Shamseldin, Irfan Ali, Muhammad Shoaib, 2018, Water Resources Management.

Applications of Analytical Probabilistic Approach in Urban Stormwater Modeling in New Zealand

Asaad Y. Shamseldin, 2015 .

Design of Storm-Water Retention Ponds with Floating Treatment Wetlands

Asaad Y. Shamseldin, Bruce W. Melville, Sher Khan, 2013 .

Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Z. Hashmi, 2011, Environ. Model. Softw..

Structures and Performances of Five Rainfall-Runoff Models for Continuous River-Flow Simulation

Asaad Y. Shamseldin, Kieran M. O'Connor, Monomoy Goswami, 2002 .

Neuroemulation: definition and key benefits for water resources research

Asaad Y. Shamseldin, Robert J. Abrahart, Nick J. Mount, 2012 .

Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting

Asaad Y. Shamseldin, Kieran M. O'Connor, Ahmed Elssidig Nasr, 2002 .

Application of surrogate artificial intelligent models for real‐time flood routing

Asaad Y. Shamseldin, Hossein Ghalkhani, Bahram Saghafian, 2013 .

A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2017, Water Resources Management.

Comparative study of different wavelet based neural network models for rainfall–runoff modeling

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2014 .

Using gene expression programming to develop a combined runoff estimate model from conventional rainfall-runoff model outputs

Asaad Y. Shamseldin, Robert J. Abrahart, 2009 .

eTank and contemporary online tools for rainwater tank outcomes analysis

Asaad Y. Shamseldin, Cristina Matos, Monzur A. Imteaz, 2017, Int. J. Comput. Aided Eng. Technol..

Development of a possibilistic method for the evaluation of predictive uncertainty in rainfall‐runoff modeling

Asaad Y. Shamseldin, Alexandra P. Jacquin, A. Shamseldin, 2007 .

NEARLY TWO DECADES OF NEURAL NETWORK HYDROLOGIC MODELING

Asaad Y. Shamseldin, Robert J. Abrahart, Christian W. Dawson, 2009 .

Multimodel Approach Using Neural Networks and Symbolic Regression to Combine the Estimated Discharges of Rainfall-Runoff Models

Asaad Y. Shamseldin, Phanida Phukoetphim, Keith N. Adams, 2016 .

Experimental investigation of tsunami-borne debris impact force on structures: Factors affecting impulse-momentum formula

Asaad Y. Shamseldin, Bruce W. Melville, Sherif Beskhyroun, 2016 .

Discussion of ‘Reservoir Computing approach to Great Lakes water level forecasting’ by P. Coulibaly [J. Hydrol. 381(2010) 76–88]

Asaad Y. Shamseldin, Robert J. Abrahart, Nick J. Mount, 2012 .

Asaad Y. Shamseldin, 2005 .

Flood estimation in ungauged catchments: application of artificial intelligence based methods for Eastern Australia

Asaad Y. Shamseldin, Ataur Rahman, K.M.A. Aziz, 2017, Stochastic Environmental Research and Risk Assessment.

Investigation of Internal Functioning of the Radial-Basis-Function Neural Network River Flow Forecasting Models

Asaad Y. Shamseldin, D. Achela K. Fernando, A. Shamseldin, 2009 .

River flow forecasting using gene expression programming models

Asaad Y. Shamseldin, Robert J. Abrahart, Achela Fernando, 2012 .

The effect of different baffles on hydraulic performance of a sediment retention pond

Asaad Y. Shamseldin, Bruce W. Melville, Arash Farjood, 2015 .

Dimensions of Wastewater System Recovery Following Major Disruptions

Asaad Y. Shamseldin, Conrad R. Zorn, 2017 .

Quantifying system-level dependencies between connected electricity and transport infrastructure networks incorporating expert judgement

Asaad Y. Shamseldin, Conrad Zorn, Raghav Pant, 2021, Civil Engineering and Environmental Systems.

Peak flood estimation using gene expression programming

Asaad Y. Shamseldin, Conrad Zorn, A. Shamseldin, 2015 .

Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed

Muhammad Zaffar Hashmi, Asaad Y. Shamseldin, Bruce W. Melville, 2011 .

Runoff forecasting using hybrid Wavelet Gene Expression Programming (WGEP) approach

Asaad Y. Shamseldin, Bruce W. Melville, Muhammad Shoaib, 2015 .

Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models

Asaad Y. Shamseldin, Alexandra P. Jacquin, A. Shamseldin, 2008 .

A nearest neighbour linear perturbation model for river flow forecasting

Asaad Y. Shamseldin, Kieran M. O'Connor, A. Shamseldin, 1996 .

Modification of the probability-distributed interacting storage capacity model

Asaad Y. Shamseldin, Kieran M. O'Connor, A. Shamseldin, 1999 .

Development of Rainfall–Runoff Models Using Mamdani-Type Fuzzy Inference Systems

Asaad Y. Shamseldin, Alexandra P. Jacquin, A. Shamseldin, 2009 .

Real-Time river flow forecasting

Asaad Y. Shamseldin, A. Shamseldin, 2005 .

The geomorphological unit hydrograph – a critical review

Asaad Y. Shamseldin, J. E. Nash, J. Nash, 1998 .

Use of Gene Expression Programming in regionalization of flow duration curve

Muhammad Zaffar Hashmi, Asaad Y. Shamseldin, 2014 .

Development of rainfall–runoff models using Takagi–Sugeno fuzzy inference systems

Asaad Y. Shamseldin, Alexandra P. Jacquin, A. Shamseldin, 2006 .

Development of Artificial Intelligence Based Regional Flood Estimation Techniques for Eastern Australia

Asaad Y. Shamseldin, Ataur Rahman, A. Shamseldin, 2016 .

A Multi-Scale Analysis of Single-Unit Housing Water Demand Through Integration of Water Consumption, Land Use and Demographic Data

Asaad Y. Shamseldin, Bruce W. Melville, A. Shamseldin, 2017, Water Resources Management.

Review of the application of fuzzy inference systems in river ﬂow forecasting

Asaad Y. Shamseldin, Alexandra P. Jacquin, A. Shamseldin, 2009 .

A consensus real-time river flow forecasting model for the Blue Nile River

Asaad Y. Shamseldin, Kieran M. O'Connor, A. Shamseldin, 2003 .

The Use of Stochastic Gradient Boosting Method for Multi-Model Combination of Rainfall-Runoff Models

Asaad Y. Shamseldin, A. Shamseldin, 2013 .

Ideal point error for model assessment in data-driven river flow forecasting

Asaad Y. Shamseldin, Robert J. Abrahart, Nick J. Mount, 2012 .

Comparison of two data-driven approaches for daily river flow forecasting

Asaad Y. Shamseldin, Robert J. Abrahart, Achela Fernando, 2011 .