| An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction ZM Yaseen, SO Sulaiman, RC Deo, KW Chau Journal of Hydrology 569, 387-408, 2019 | 562 | 2019 |
| Predicting compressive strength of lightweight foamed concrete using extreme learning machine model ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ... Advances in Engineering Software 115, 112-125, 2018 | 376 | 2018 |
| A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset RC Deo, X Wen, F Qi Applied Energy 168, 568-593, 2016 | 342 | 2016 |
| Impacts of land use/land cover change on climate and future research priorities R Mahmood, RA Pielke Sr, KG Hubbard, D Niyogi, G Bonan, P Lawrence, ... Bulletin of the American Meteorological Society 91 (1), 37-46, 2010 | 339 | 2010 |
| Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms S Ghimire, RC Deo, N Raj, J Mi Applied Energy 253, 113541, 2019 | 324 | 2019 |
| Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia RC Deo, M Şahin Atmospheric Research 153, 512-525, 2015 | 309 | 2015 |
| 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 | 298 | 2016 |
| Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model RC Deo, O Kisi, VP Singh Atmospheric Research 184, 149-175, 2017 | 289 | 2017 |
| Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and … RC Deo, M Şahin Atmospheric research 161, 65-81, 2015 | 289 | 2015 |
| 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 | 280 | 2018 |
| Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions SN Fallah, RC Deo, M Shojafar, M Conti, S Shamshirband Energies 11 (3), 596, 2018 | 250 | 2018 |
| Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model ZM Yaseen, I Ebtehaj, H Bonakdari, RC Deo, AD Mehr, WHMW Mohtar, ... Journal of Hydrology 554, 263-276, 2017 | 230 | 2017 |
| 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 | 221 | 2017 |
| Computational intelligence approach for modeling hydrogen production: A review S Faizollahzadeh Ardabili, B Najafi, S Shamshirband, B Minaei Bidgoli, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 438-458, 2018 | 215 | 2018 |
| Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia S Ghimire, RC Deo, NJ Downs, N Raj Journal of cleaner production 216, 288-310, 2019 | 179 | 2019 |
| Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland RC Deo, M Şahin Renewable and Sustainable Energy Reviews 72, 828-848, 2017 | 179 | 2017 |
| The influence of Reynolds number on a plane jet RC Deo, J Mi, GJ Nathan Physics of Fluids 20 (7), 2008 | 178 | 2008 |
| A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate CA McAlpine, J Syktus, JG Ryan, RC Deo, GM McKeon, HA McGowan, ... Global Change Biology 15 (9), 2206-2223, 2009 | 171 | 2009 |
| Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran MA Ghorbani, RC Deo, ZM Yaseen, M H. Kashani, B Mohammadi Theoretical and applied climatology 133, 1119-1131, 2018 | 170 | 2018 |
| Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties L Kouadio, RC Deo, V Byrareddy, JF Adamowski, S Mushtaq Computers and electronics in agriculture 155, 324-338, 2018 | 165 | 2018 |
Assistant Professor. Zaher Mundher Y...King Fahd University of Petroleum and Mineralskfupm.edu.sa의 이메일 확인됨
