Muhammad Shoaib
Muhammad Shoaib
Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan
Verified email at aucklanduni.ac.nz
Title
Cited by
Cited by
Year
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
972014
Runoff Forecasting using Hybrid Wavelet Gene Expression Programming (WGEP) Approach
Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W.Melville, Mudasser M. Khan
Journal of Hydrology 527, 326-344, 2015
472015
A comparison between wavelet based static and dynamic neural network approaches for runoff prediction
Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville, Mudasser Muneer Khan
Journal of Hydrology 535, 211-225, 2016
362016
Hybrid wavelet neuro-fuzzy approach for rainfall-runoff modeling
M Shoaib, AY Shamseldin, BW Melville, MM Khan
Journal of Computing in Civil Engineering 30 (1), 04014125, 2016
182016
Flood estimation in ungauged catchments: application of artificial intelligence based methods for Eastern Australia
K Aziz, MM Haque, A Rahman, AY Shamseldin, M Shoaib
Stochastic Environmental Research and Risk Assessment 31 (6), 1499–1514, 2017
162017
Co-Active Neuro Fuzzy Inference System for Regional Flood Estimation in Australia
K Aziz, A Rahman, AY Shamseldin, M Shoaib
Journal of Hydrology and Environment Research 1 (01), 11, 2013
142013
Reliability and fatigue analysis in cantilever-based MEMS devices operating in harsh environments
M Tariq Jan, N Hisham Bin Hamid, M Khir, M Haris, K Ashraf, M Shoaib
Journal of Quality and Reliability Engineering 2014, 2014
132014
A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting
M Shoaib, AY Shamseldin, S Khan, MM Khan, ZM Khan, T Sultan, ...
Water Resources Management, DOI:10.1007/s11269-017-1796-1, 2017
112017
A wavelet based approach for combining the outputs of different rainfall–runoff models
M Shoaib, AY Shamseldin, S Khan, MM Khan, ZM Khan, BW Melville
Stochastic Environmental Research and Risk Assessment, 2016
102016
Hybrid Wavelet Neural Network Approach
M Shoaib, AY Shamseldin, BW Melville, MM Khan
Artificial Neural Network Modelling, Studies in Computational Intelligence …, 2016
82016
Performance Evaluation of Trickling Filter-based Wastewater Treatment System utilizing Cotton Sticks as Filter Media
MMA Aslam, ZM Khan, M Sultan, Y Niaz, MH Mahmood, M Shoaib, ...
Polish Journal of Environmental Studies 26 (5), 1-8, 2017
72017
Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling
M Shoaib, AY Shamseldin, S Khan, M Sultan, F Ahmad, T Sultan, ...
Water Resources Management 33 (3), 955-973, 2019
52019
Effect of baffles on the hydraulic performance of sediment retention ponds
S Khan, BW Melville, MM Khan, M Shoaib, AY Shamseldin
Water Science & Technology, 2016
42016
Stratification of NWP Forecasts for Medium-Range Ensemble Streamflow Forecasting
MM Khan, AY Shamseldin, BW Melville, M Shoaib
Journal of Hydrologic Engineering 20 (7), 04014076, 2015
42015
Impact of ensemble size on TIGGE precipitation forecasts: An end-user perspective
MM Khan, AY Shamseldin, BW Melville, M Shoaib
Journal of Hydrologic Engineering 20 (2), 04014046, 2015
42015
Regional flood estimation in Australia: Application of gene expression programming and artificial neural network techniques
K Aziza, A Rahmana, AY Shamseldinb, M Shoaib
20th International Congress on Modelling and Simulation, Adelaide, Australia …, 2013
42013
Comparative Assessment of Reference Evapotranspiration Estimation Using Conventional Method and Machine Learning Algorithms in Four Climatic Regions
A Raza, M Shoaib, MF Abrar, F Baig, MM Khan, MK Ullah, M Zubari
Pure and Applied Geophysics, 2020
12020
Multi-index drought characteristics in Songhua River basin, Northeast China
MA Faiz, D Liu, Q Fu, F Baig, AA Tahir, M Li, MI Khan, M Shoaib, T Li, ...
Climate Research 78 (1), 1-19, 2019
12019
Dynamics of Water Quality: Impact Assessment Process for Water Resource Management
EUH Bhatti, MM Khan, SAR Shah, SS Raza, M Shoaib, M Adnan
Processes 7 (2), 102, 2019
12019
Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions
A Raza, M Shoaib, A Khan, F Baig, MF Abrar, MM Khan
Theoretical and Applied Climatology, 2019
2019
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