S. Panigrahi and H. Behera,"An Adaptive Fuzzy Filter-Based Hybrid ARIMA-HONN Model For Time Series Forecasting", in Computational Intelligence In Data Mining: Proceedings Of The International Conference On CIDM 2017, vol.711, pp.841–850, Springer 2018, 10.1007/978-981-10-8055-5_74       Inproceedings

S. Panigrahi and H. Behera,"A hybrid ETS–ANN model for time series forecasting", Engineering Applications of Artificial Intelligence, vol.66, pp.49-59, Elsevier 2017, 10.1016/j.engappai.2017.07.007       Article

S. Panigrahi,"A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training", International Arab Journal of Information Technology, vol.14, no.1, pp.18-25, Zarqa University 2017       Article

S. Panigrahi, H., and A. Abraham,"A Fuzzy Filter Based Hybrid ARIMA-ANN Model For Time Series Forecasting", in Proceedings Of The Eighth International Conference On Soft Computing And Pattern Recognition (SoCPaR 2016), pp.592–601, Springer 2017, 10.1007/978-3-319-60618-7_58       Inproceedings

S. Panigrahi, B. Rath, and P. S. Kumar,"A hybrid CRO-K-means algorithm for data clustering", in Computational Intelligence in Data Mining, vol.3, pp.627-639, Springer 2014, 10.1007/978-81-322-2202-6_57       Inproceedings