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,"Decomposition-based hybrid methods employing statistical, machine learning, and deep learning models for crude oil price forecasting", Neural Computing and Applications, pp.1-46, Springer, April 2025, 10.1007/s00521-025-11178-6       Article

S. Banerjee and S. Panigrahi,"Automatic histopathological image classification using multi-deep features with handcrafted features and shallow machine learning models", in 12th International Conference on Intelligent Systems and Embedded Design (ISED), pp.1-5, IEEE, Rourkela, India, April 2025, 10.1109/ISED63599.2024.10956302       Inproceedings

R. K. Pal, S. Panigrahi, and S. Pratihar,"A hybrid approach to rice leaf disease detection using transfer learning and SVM", in 12th International Conference on Intelligent Systems and Embedded Design (ISED), pp.1-5, IEEE, Rourkela, India, April 2025, 10.1109/ISED63599.2024.10956632       Inproceedings

G. Yaswanth, H. Lohith, M. Jerusha, and S. Panigrahi,"A study on forecasting of crude oil prices employing optimized deep learning models and LUBE method", Asia-Pacific Financial Markets, Springer, July 2025, 10.1007/s10690-025-09554-2       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