| A wavelet neural network conjunction model for groundwater level forecasting J Adamowski, HF Chan Journal of Hydrology 407 (1-4), 28-40, 2011 | 781 | 2011 |
| Applications of hybrid wavelet–artificial intelligence models in hydrology: a review V Nourani, AH Baghanam, J Adamowski, O Kisi Journal of Hydrology 514, 358-377, 2014 | 768 | 2014 |
| An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ... Science of the Total Environment 651, 2087-2096, 2019 | 668 | 2019 |
| A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ... Journal of Hydrology 573, 311-323, 2019 | 598 | 2019 |
| Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for … J Adamowski, H Fung Chan, SO Prasher, B Ozga‐Zielinski, A Sliusarieva Water Resources Research 48 (1), 2012 | 578 | 2012 |
| Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds J Adamowski, K Sun Journal of Hydrology 390 (1-2), 85-91, 2010 | 521 | 2010 |
| Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models A Belayneh, J Adamowski, B Khalil, B Ozga-Zielinski Journal of Hydrology 508, 418-429, 2014 | 516 | 2014 |
| Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model R Barzegar, MT Aalami, J Adamowski Stochastic Environmental Research and Risk Assessment 34 (2), 415-433, 2020 | 408 | 2020 |
| Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India SM Pingale, D Khare, MK Jat, J Adamowski Atmospheric Research 138, 73-90, 2014 | 385 | 2014 |
| 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 | 331 | 2014 |
| Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008) D Nalley, J Adamowski, B Khalil Journal of Hydrology 475, 204-228, 2012 | 326 | 2012 |
| Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms J Adamowski, C Karapataki Journal of Hydrologic Engineering 15 (10), 729-743, 2010 | 322 | 2010 |
| Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Advanced Engineering Informatics 35, 1-16, 2018 | 314 | 2018 |
| 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 | 314 | 2016 |
| Peak daily water demand forecast modeling using artificial neural networks JF Adamowski Journal of Water Resources Planning and Management 134 (2), 119-128, 2008 | 274 | 2008 |
| Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis JF Adamowski Journal of Hydrology 353 (3-4), 247-266, 2008 | 264 | 2008 |
| A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects S Monghasemi, MR Nikoo, MAK Fasaee, J Adamowski Expert Systems with Applications 42 (6), 3089-3104, 2015 | 262 | 2015 |
| A critical review on the application of the National Sanitation Foundation Water Quality Index R Noori, R Berndtsson, M Hosseinzadeh, JF Adamowski, MR Abyaneh Environmental Pollution 244, 575-587, 2019 | 246 | 2019 |
| Urban water demand forecasting and uncertainty assessment using ensemble wavelet‐bootstrap‐neural network models MK Tiwari, J Adamowski Water Resources Research 49 (10), 6486-6507, 2013 | 246 | 2013 |
| 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 (5), 1211-1240, 2017 | 242 | 2017 |
John QuiltyUniversity of Waterlooכתובת אימייל מאומתת בדומיין uwaterloo.ca