All Publications

R. K. Pal, C. R. Padhan, and S. Panigrahi,"Enhanced crude oil price forecasting with CEEMDAN-ARIMA hybrid model", in 2025 IEEE 6th India Council International Subsections Conference (INDISCON), pp.1-6, IEEE, December 2025, 10.1109/INDISCON66021.2025.11251848       Inproceedings

R. C. Mahalik and S. Panigrahi,"Optimizing hierarchical time series forecasting using machine learning algorithms", in 2025 IEEE 6th India Council International Subsections Conference (INDISCON), pp.1-6, IEEE, December 2025, 10.1109/INDISCON66021.2025.11252070       Inproceedings

S. K. Purohit and S. Panigrahi,"Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models", Information Sciences, vol.658, pp.120021, Elsevier, February 2024, 10.1016/j.ins.2023.120021       Article

A. P. Padhy, S. Panigrahi, V. P. Singh, and P. Pratyasha,"Model order reduction for SISO and MIMO system using improved adaptive differential evolution algorithm", Soft Computing, Springer, January 2024, 10.1007/s00500-023-09489-8       Article

S. K. Purohit and S. Panigrahi,"Forecasting Crude Oil Prices: A Machine Learning Perspective", in International Conference on Computing, Communication and Learning, vol.1892, pp.15-26, Springer, March 2024, 10.1007/978-3-031-56998-2_2       Inproceedings

S. S. Pradhan and S. Panigrahi,"A study and development of high-order fuzzy time series forecasting methods for air quality index forecasting", Journal of Forecasting, pp.1-24, Wiley, May 2024, 10.1002/for.3153       Article

S. K. Purohit and S. Panigrahi,"Ranking optimised statistical models for time series forecasting of crude oil price", in Computing, Communication and Intelligence, vol.1, Taylor and Francis, November 2024, 10.1201/9781003581215-36       Inproceedings

T. K. Behera, S. Sathia, S. Panigrahi, and P. K. Naik,"Revolutionizing cardiovascular disease classification through machine learning and statistical methods", Journal of Biopharmaceutical Statistics, Taylor and Francis, November 2024, 10.1080/10543406.2024.2429524       Article

S. K. Purohit, S. Panigrahi, and A. N. Jena,"Crude oil price forecasting using hybridization of optimized deep learning and shallow machine learning models", in International Conference on Computing, Communication and Learning, vol.2317, pp.3-16, Springer, September 2024, 10.1007/978-3-031-79041-6_1       Inproceedings

R. M. Pattanayak, H. S. Behera, and S. Panigrahi,"A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine", Information Sciences, vol.626, pp.494-523, Elsevier 2023, 10.1016/j.ins.2023.01.075       Article