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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
Bestätigte E-Mail-Adresse bei usq.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
5992019
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
4082018
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
3582016
Impacts of land use/land cover change on climate and future research priorities
R Mahmood, RA Pielke, KG Hubbard, D Niyogi, G Bonan, P Lawrence, ...
Bulletin of the American Meteorological Society 91 (1), 37-46, 2010
3542010
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
3502019
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
3262015
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
3082016
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
3022015
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
2962018
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
2952017
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
2682018
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
2462017
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
2322017
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
2242018
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
1892019
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
1872017
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
S Ghimire, ZM Yaseen, AA Farooque, RC Deo, J Zhang, X Tao
Scientific Reports 11 (1), 17497, 2021
1852021
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
1832018
The influence of Reynolds number on a plane jet
RC Deo, J Mi, GJ Nathan
Physics of Fluids 20 (7), 2008
1792008
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
R Prasad, RC Deo, Y Li, T Maraseni
Geoderma 330, 136-161, 2018
1782018
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