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Professor Ravinesh Deo, Highly Cited Researcher (Clarivate Web of Science)
Professor Ravinesh Deo, Highly Cited Researcher (Clarivate Web of Science)
Full Professor in Mathematics and Researcher in Artificial Intelligence and Machine Learning
Verified email at usq.edu.au - Homepage
Title
Cited by
Cited by
Year
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
5762019
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
3872018
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
3482016
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
3432010
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
3302019
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
3142015
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
3022016
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
2922015
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
2912017
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
2852018
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
2572018
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
2362017
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
2252017
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
2202018
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
1822019
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
1802017
The influence of Reynolds number on a plane jet
RC Deo, J Mi, GJ Nathan
Physics of Fluids 20 (7), 2008
1792008
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
1732018
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
1712018
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
1712009
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