1. S.M. Idrees, M.A. Alam, P. Agarwal, A prediction approach for stock market volatility based on time series data. IEEE Access (2019). https://doi.org/10.1109/ACCESS.2019.2895252
2. T. Raicharoen, C. Lursinsap, P. Sanguanbhokai (2003) Application of critical support vector machine to time series prediction, in Circuits and Systems, ISCAS'03, vol 5, IEEE (2003), pp. V–V
3. S. Das et al., A self-adaptive fuzzy-based optimized functional link artificial neural network model for financial time series prediction. Int. J. Bus. Forecast. Mark. Intell. 2(1), 55–77 (2015)
4. S. Dash, M.R. Senapati, U.R. Jena, K-NN based automated reasoning using a bilateral filter based texture descriptor for computing texture classification. Egypt. Inf. J. (2018). https://doi.org/10.1016/j.eij.2018.01.003
5. C.W.J. Granger, P. Newbold, Forecasting Economic Time Series (Academic Press, Cambridge, 2014)