Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Othman Jaafar, Ravinesh C. Deo, +4

Journal of Hydrology

Semi-arid RegionFlash FloodHydrological DisasterEngineeringForecasting Methodology +10

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

Manish Kumar Goyal, Birendra Bharti, John Quilty, +2

Expert Systems with Applications

ClimatologyMeteorologySub Tropical ClimatesFuzzy LogicEngineering +9

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

John Quilty, Jan Adamowski

Journal of Hydrology

Forecasting MethodologyEngineeringWater ResourcesGeographyWeather Forecasting +9

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

Ravinesh C. Deo, Mukesh Tiwari, Jan Adamowski, +1

Stochastic Environmental Research and Risk Assessment

MeteorologyWavelet ExtremeEngineeringData ScienceDrought +9

Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms

A. T. M. Sakiur Rahman, Takahiro Hosono, John Quilty, +2

Advances in Water Resources

Wavelet TransformsHydrogeologyEngineeringMachine LearningData Science +9

Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction

Anteneh Belayneh, Jan Adamowski, Bahaa Khalil, +1

Atmospheric Research

Wavelet TransformsEngineeringMachine LearningData ScienceDrought +10

On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction

Alireza Ghaemi, Mohammad Rezaie-Balf, Jan Adamowski, +2

Agricultural and Forest Meteorology

ClimatologyMeteorologyNumerical Weather PredictionEngineeringAtmospheric Science +6

Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting

Soukayna Mouatadid, Jan Adamowski, Mukesh Tiwari, +1

Agricultural Water Management

EngineeringWater ResourcesIrrigationSystems EngineeringSignal Processing +4

Data Assimilation for Streamflow Forecasting Using Extreme Learning Machines and Multilayer Perceptrons

Marie‐Amélie Boucher, John Quilty, Jan Adamowski

Water Resources Research

Forecasting MethodologyHydrological PredictionEngineeringMachine LearningHydrologic Engineering +19

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Rahim Barzegar, Siamak Razzagh, John Quilty, +3

Journal of Hydrology

HydrogeologyEngineeringData ScienceSubsurface HydrologyGeography +7