National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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All Publications

Sibarama Panigrahi

Assistant Professor Grade-I
panigrahis@nitrkl.ac.in

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
A. Maurya and S. Panigrahi,"Integrated deep learning framework for automated rice leaf disease image classification", in Intelligent Systems, pp.373–385, Springer, November 2025, 10.1007/978-3-032-05117-2_34       Inproceedings
C. Jayanth, C. R. Padhan, and S. Panigrahi,"Air quality index forecasting using variable weighted ensembled model with gradient COA", in 2025 IEEE 6th India Council International Subsections Conference (INDISCON), pp.1-6, IEEE, December 2025, 10.1109/INDISCON66021.2025.11252340       Inproceedings
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