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Dr. Sibarama Panigrahi, SMIEEE
Dr. Sibarama Panigrahi, SMIEEE
Assistant Professor in CSE Department, National Institute of Technology, Rourkela, Odisha, India
Verified email at nitrkl.ac.in - Homepage
Title
Cited by
Cited by
Year
A hybrid ETS–ANN model for time series forecasting
S Panigrahi, HS Behera
Engineering applications of artificial intelligence 66, 49-59, 2017
1962017
A study on leading machine learning techniques for high order fuzzy time series forecasting
S Panigrahi, HS Behera
Engineering Applications of Artificial Intelligence 87, 103245, 2020
642020
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Engineering Applications of Artificial Intelligence 99, 104136, 2021
512021
Time series forecasting of price of agricultural products using hybrid methods
SK Purohit, S Panigrahi, PK Sethy, SK Behera
Applied Artificial Intelligence 35 (15), 1388-1406, 2021
442021
A modified sine cosine algorithm with ensemble search agent updating schemes for small signal stability analysis
MK Kar, S Kumar, AK Singh, S Panigrahi
International Transactions on Electrical Energy Systems 31 (11), e13058, 2021
362021
High-order fuzzy time series forecasting by using membership values along with data and support vector machine
RM Pattanayak, S Panigrahi, HS Behera
Arabian Journal for Science and Engineering 45 (12), 10311-10325, 2020
362020
Effect of normalization techniques on univariate time series forecasting using evolutionary higher order neural network
S Panigrahi, HS Behera
International Journal of Engineering and Advanced Technology 3 (2), 280-285, 2013
292013
Forecasting of sunspot time series using a hybridization of ARIMA, ETS and SVM methods
S Panigrahi, RM Pattanayak, PK Sethy, SK Behera
Solar Physics 296 (1), 6, 2021
272021
Reactive power management by using a modified differential evolution algorithm
MK Kar, S Kumar, AK Singh, S Panigrahi
Optimal Control Applications and Methods 44 (2), 967-986, 2023
252023
Time series forecasting using evolutionary neural network
S Panigrahi, Y Karali, HS Behera
International Journal of Computer Applications 75 (10), 2013
252013
A cost-effective computer-vision based breast cancer diagnosis
PK Sethy, C Pandey, MR Khan, SK Behera, K Vijaykumar, S Panigrahi
Journal of Intelligent & Fuzzy Systems 41 (5), 5253-5263, 2021
232021
A novel chemical reaction optimization algorithm for higher order neural network training.
KK Sahu, S PANIGRAHI, HS Behera
Journal of Theoretical & Applied Information Technology 53 (3), 2013
232013
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine
RM Pattanayak, HS Behera, S Panigrahi
Information Sciences 626, 494-523, 2023
192023
On-tree fruit monitoring system using IoT and image analysis
SK Behera, PK Sethy, SK Sahoo, S Panigrahi, SC Rajpoot
Concurrent Engineering 29 (1), 6-15, 2021
182021
Normalize time series and forecast using evolutionary neural network
S Panigrahi, Y Karali, HS Behera
International Journal of Engineering Research & Technology 2 (9), 2518-2522, 2013
172013
A non-probabilistic neutrosophic entropy-based method for high-order fuzzy time-series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Arabian Journal for Science and Engineering 47 (2), 1399-1421, 2022
152022
A multi-step-ahead fuzzy time series forecasting by using hybrid chemical reaction optimization with pi-sigma higher-order neural network
RM Pattanayak, HS Behera, S Panigrahi
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020
152020
A modified differential evolution algorithm trained pi-sigma neural network for pattern classification
S Panigrahi, AK Bhoi, Y Karali
Int J Soft Comput Eng 3 (5), 133-136, 2013
152013
A novel hybrid differential evolution-PSNN for fuzzy time series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Computational Intelligence in Data Mining: Proceedings of the International …, 2019
132019
A Novel Hybrid Chemical Reaction Optimization Algorithm with Adaptive Differential Evolution Mutation Strategies for Higher Order Neural Network Training.
S Panigrahi
International Arab Journal of Information Technology (IAJIT) 14 (1), 2017
132017
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