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John Quilty
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Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
MK Goyal, B Bharti, J Quilty, J Adamowski, A Pandey
Expert systems with applications 41 (11), 5267-5276, 2014
2682014
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie
Journal of Hydrology 542, 603-614, 2016
2572016
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
RC Deo, MK Tiwari, JF Adamowski, JM Quilty
Stochastic environmental research and risk assessment 31, 1211-1240, 2017
1902017
Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
A Belayneh, J Adamowski, B Khalil, J Quilty
Atmospheric research 172, 37-47, 2016
1322016
Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework
J Quilty, J Adamowski
Journal of hydrology 563, 336-353, 2018
1242018
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
ATMS Rahman, T Hosono, JM Quilty, J Das, A Basak
Advances in Water Resources 141, 103595, 2020
762020
Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
RC Deo, N Downs, AV Parisi, JF Adamowski, JM Quilty
Environmental research 155, 141-166, 2017
722017
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
A Ghaemi, M Rezaie-Balf, J Adamowski, O Kisi, J Quilty
Agricultural and Forest Meteorology 278, 107647, 2019
712019
Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling
J Quilty, J Adamowski, B Khalil, M Rathinasamy
Water Resources Research 52 (3), 2299-2326, 2016
702016
Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting
S Mouatadid, JF Adamowski, MK Tiwari, JM Quilty
Agricultural Water Management 219, 72-85, 2019
562019
A stochastic data‐driven ensemble forecasting framework for water resources: A case study using ensemble members derived from a database of deterministic wavelet‐based models
J Quilty, J Adamowski, MA Boucher
Water Resources Research 55 (1), 175-202, 2019
542019
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones
DK Roy, R Barzegar, J Quilty, J Adamowski
Journal of Hydrology 591, 125509, 2020
422020
Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada
R Barzegar, M Ghasri, Z Qi, J Quilty, J Adamowski
Journal of Hydrology 577, 123903, 2019
392019
A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes
J Quilty, J Adamowski
Environmental Modelling & Software 130, 104718, 2020
352020
Data assimilation for streamflow forecasting using extreme learning machines and multilayer perceptrons
MA Boucher, J Quilty, J Adamowski
Water Resources Research 56 (6), e2019WR026226, 2020
312020
A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations
AE Sikorska-Senoner, JM Quilty
Environmental Modelling & Software 143, 105094, 2021
272021
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models
R Barzegar, S Razzagh, J Quilty, J Adamowski, HK Pour, MJ Booij
Journal of hydrology 598, 126370, 2021
192021
Probabilistic urban water demand forecasting using wavelet-based machine learning models
M Rezaali, J Quilty, A Karimi
Journal of Hydrology 600, 126358, 2021
152021
The application of dynamic linear bayesian models in hydrological forecasting: varying coefficient regression and discount weighted regression
M Ciupak, B Ozga-Zielinski, J Adamowski, J Quilty, B Khalil
Journal of Hydrology 530, 762-784, 2015
112015
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting–A case study in the Awash River Basin (Ethiopia)
J Quilty, J Adamowski
Environmental Modelling & Software 144, 105119, 2021
92021
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Articles 1–20