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

G. Shial, S. Sahoo, and S. Panigrahi,"An enhanced GWO algorithm with improved explorative search capability for global optimization and data clustering", Applied Artificial Intelligence, vol.37, no.1, pp.e2166232, Taylor & Francis 2023, 10.1080/08839514.2023.2166232       Article

K. Das, S. Das, and S. Panigrahi,"Energy-efficient forecasting of temperature data in sensor cloud system using a hybrid SVM-ANN method", Wireless Personal Communications, vol.129, pp.2929–2944, Springer 2023, 10.1007/s11277-023-10265-y       Article

R. Pradhan, S. Panigrahi, and P. K. Sahu,"Conformational search for the building block of proteins based on the gradient gravitational search algorithm (ConfGGS) using force fields: CHARMM, AMBER, And OPLS-AA", Journal of Chemical Information and Modeling, vol.63, no.2, pp.670–690, American Chemical Society 2023, 10.1021/acs.jcim.2c01398       Article

G. Shial, C. Tripathy, S. Panigrahi, and S. Sahoo,"An Improved GWO algorithm for data clustering", in Computing, Communication and Learning. CoCoLe 2022, vol.1729, pp.79–90, Springer 2023, 10.1007/978-3-031-21750-0_7       Inproceedings

S. S. Pradhan and S. Panigrahi,"Delhi air quality index forecasting using statistical and machine learning models", in AIP Conference Proceedings, vol.2705, no.1, pp.020002, American Institute of Physics, June 2023, 10.1063/5.0133357       Inproceedings

S. S. Pradhan and S. Panigrahi,"Studies on machine learning techniques for multivariate forecasting of Delhi air quality index", in Advances in Data-Driven Computing and Intelligent Systems. ADCIS 2022., vol.698, pp.133–146, Springer, August 2023, 10.1007/978-981-99-3250-4_10       Inproceedings

S. S. Pradhan, S. Panigrahi, S. K. Purohit, and J. K. Dash,"Study and development of hybrid and ensemble forecasting models for air quality index forecasting", Expert Syatems, Wiley, September 2023, 10.1111/exsy.13449       Article

G. Shial, S. Sahoo, and S. Panigrahi,"A NATURE-INSPIRED HYBRID PARTITIONAL CLUSTERING METHOD BASED ON GREY WOLF OPTIMIZATION AND JAYA ALGORITHM", Computer Science, vol.24, no.3, pp.355-399, October 2023, 10.7494/csci.2023.24.3.4962       Article

M. K. Kar, S. Kumar, A. K. Singh, S. Panigrahi, and M. Cherukuri,"Design and analysis of FOPID-Based damping controllers using a modified grey wolf optimization algorithm", International Transactions on Electrical Energy Systems, pp.1-31, Hindawi 2022, 10.1155/2022/5339630       Article