National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

All Publications

Sibarama Panigrahi

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

R., H. Behera, and S. Panigrahi,"A non-probabilistic neutrosophic entropy-based method for high-order fuzzy time series forecasting", Arabian Journal for Science and Engineering, vol.47, no.2, pp.1399-1421, Springer 2021, 10.1007/s13369-021-05718-0       Article
M. K. Kar, S. Kumar, A. K. Singh, and S. Panigrahi,"A modified sine cosine algorithm with ensemble search agent updating schemes for small signal stability analysis", International Transactions on Electrical Energy Systems, vol.31, no.11, pp.e13058, Wiley 2021, 10.1002/2050-7038.13058       Article
S. K. Purohit, S. Panigrahi, P. K. Sethy, and S. K. Behera,"Time series forecasting of price of agricultural products using hybrid methods", Applied Artificial Intelligence, vol.35, no.15, pp.1388-1406, Taylor & Francis 2021, 10.1080/08839514.2021.1981659       Article
M. K. Kar, S. Kumar, A. K. Singh, and S. Panigrahi,"Reactive power management by using a modified differential evolution algorithm", Optimal Control Applications and Methods, vol.44, no.2, pp.967-986, Wiley 2021, 10.1002/oca.2815       Article
P. K. Sethy, C. Pandey, M. R. Khan, S. K. Behera, K. Vijaykumar, and S. Panigrahi,"A cost-effective computer-vision based breast cancer diagnosis", Journal of Intelligent & Fuzzy Systems, vol.41, no.5, pp.5253-5263, IOS Press 2021, 10.3233/JIFS-189848       Article
S. Panigrahi, R. M. Pattanayak, P. K. Sethy, and S. K. Behera,"Forecasting of sunspot time series using a hybridization of ARIMA, ETS and SVM methods", Solar Physics, vol.296, pp.1-19, Springer 2021, 10.1007/s11207-020-01757-2       Article
S. K. Behera, P. K. Sethy, S. K. Sahoo, S. Panigrahi, and S. C. Rajpoot,"On-tree fruit monitoring system using IoT and image analysis", Concurrent Engineering, vol.29, no.1, pp.6-15, SAGE Publications 2021, 10.1177/1063293X20988395       Article
S. Panigrahi and H. Behera,"A study on leading machine learning techniques for high order fuzzy time series forecasting", Engineering Applications of Artificial Intelligence, vol.87, pp.103245, Elsevier 2020, 10.1016/j.engappai.2019.103245       Article
R., S. Panigrahi, and H. Behera,"High-order fuzzy time series forecasting by using membership values along with data and support vector machine", Arabian Journal for Science and Engineering, vol.45, no.12, pp.10311-10325, Springer 2020, 10.1007/s13369-020-04721-1       Article
S. Panigrahi and H. Behera,"Time series forecasting using differential evolution-based ANN Modelling scheme", Arabian Journal for Science and Engineering, vol.45, no.12, pp.11129–11146, Springer 2020, 10.1007/s13369-020-05004-5       Article