C. Jayanth and S. Panigrahi,"Classification of pigmented skin lesions using early fusion of multi-deep features and support vector machine", in 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT), pp.1-6, IEEE, February 2025, 10.1109/IC-SIT63503.2024.10862008       Inproceedings

A. S. Kadiyam, C. R. Padhan, and S. Panigrahi,"A study on object detection using faster R-CNN, retina net, RPN_R_50_FPN, RPN_R_50_C4", in 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT), pp.1-6, IEEE, February 2025, 10.1109/IC-SIT63503.2024.10862488       Inproceedings

G. Shial, C. R. Tripathy, S. Sahoo, and S. Panigrahi,"A sine-cosine algorithm blended grey wolf optimisation algorithm for partitional clustering", International Journal of Computational Vision and Robotics, vol.15, no.2, pp.198-232, Inderscience, March 2025, 10.1504/IJCVR.2025.144779       Article

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