S. Panigrahi and H. Behera,"Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN Model", International Journal of Computational Intelligence Studies, vol.8, no.1-2, pp.4-26, Inderscience Publishers 2019, 10.1504/IJCISTUDIES.2019.098013       Article

R. M. Pattanayak, H. Behera, and S. Panigrahi,"A Novel Hybrid Differential Evolution-PSNN For Fuzzy Time Series Forecasting", in Computational Intelligence in Data Mining, vol.990, pp.675–687, Springer 2019, 10.1007/978-981-13-8676-3_57       Inproceedings

S. Panigrahi and H. Behera,"Fuzzy time series forecasting: a survey", in Computational Intelligence In Data Mining: Proceedings Of The International Conference On ICCIDM 2018, vol.990, pp.641-651, Springer 2019, 10.1007/978-981-13-8676-3_54       Inproceedings

R. M. Pattanayak, H. Behera, and S. Panigrahi,"A Multi-step-ahead fuzzy time series forecasting by using hybrid chemical reaction optimization with Pi-sigma higher-order neural network", in Computational Intelligence in Pattern Recognition, pp.1029–1041, Springer 2019, 10.1007/978-981-13-9042-5_88       Inproceedings

S. Panigrahi and H. Behera,"Time series forecasting using a hybrid Jaya-FLANN Model", in 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), pp.3402-3407, IEEE, Bhubaneswar, India 2018, 10.1109/ICRIEECE44171.2018.9008916       Inproceedings

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