Ravinesh C. Deo

According to our database1, Ravinesh C. Deo authored at least 9 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model.
IEEE Access, 2020

Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl., 2019

Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals.
Biomed. Signal Proc. and Control, 2019

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors.
Computers and Electronics in Agriculture, 2018

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties.
Computers and Electronics in Agriculture, 2018

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting.
Computers and Electronics in Agriculture, 2018

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.
Advances in Engineering Software, 2018

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia.
Advanced Engineering Informatics, 2018

Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015