ProfessorsProfessors of Sambalpur UniversityDr. Sibarama Panigrahi, SMIEEE

Dr. Sibarama Panigrahi, SMIEEE

Sambalpur University

H-index: 15

Asia-India

About Dr. Sibarama Panigrahi, SMIEEE

Dr. Sibarama Panigrahi, SMIEEE, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Sambalpur University, specializes in the field of Time Series Forecasting, Machine Learning, Deep Learning, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models

Model order reduction for SISO and MIMO system using improved adaptive differential evolution algorithm

Conformational Search for the Building Block of Proteins Based on the Gradient Gravitational Search Algorithm (ConfGGS) Using Force Fields: CHARMM, AMBER, and OPLS-AA

Forecasting Crude Oil Prices: A Machine Learning Perspective

A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm

Delhi air quality index forecasting using statistical and machine learning models

A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine

Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method

Dr. Sibarama Panigrahi, SMIEEE Information

University	Sambalpur University
Position	Assistant Professor at Institute of Information Technology(SUIIT) Jyoti Vihar
Citations(all)	727
Citations(since 2020)	658
Cited By	197
hIndex(all)	15
hIndex(since 2020)	14
i10Index(all)	21
i10Index(since 2020)	19
Email	Access Email
University Profile Page	Sambalpur University
Google Scholar	View Google Scholar Profile

Dr. Sibarama Panigrahi, SMIEEE Skills & Research Interests

Time Series Forecasting

Machine Learning

Deep Learning

Optimization

Top articles of Dr. Sibarama Panigrahi, SMIEEE

Title	Journal	Author(s)	Publication Date
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models	Information Sciences	Sourav Kumar Purohit Sibarama Panigrahi	2024/2/1
Model order reduction for SISO and MIMO system using improved adaptive differential evolution algorithm	Soft Computing	Aditya Prasad Padhy Sibarama Panigrahi Vinay Pratap Singh Prateek Pratyasha	2024/1/16
Conformational Search for the Building Block of Proteins Based on the Gradient Gravitational Search Algorithm (ConfGGS) Using Force Fields: CHARMM, AMBER, and OPLS-AA	Journal of Chemical Information and Modeling	Rojalin Pradhan Sibarama Panigrahi Prabhat K Sahu	2023/1/10
Forecasting Crude Oil Prices: A Machine Learning Perspective		Sourav Kumar Purohit Sibarama Panigrahi	2023/8/29
A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm	Computer Science	Gyanaranjan Shial Sabita Saho Sibarama Panigrahi	2023
Delhi air quality index forecasting using statistical and machine learning models	AIP Conference Proceedings	Sushree Subhaprada Pradhan Sibarama Panigrahi	2023/6/16
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine	Information Sciences	Radha Mohan Pattanayak Himansu Sekhar Behera Sibarama Panigrahi	2023/5/1
Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method	Wireless Personal Communications	Kalyan Das Satyabrata Das Sibarama Panigrahi	2023/4
An enhanced GWO algorithm with improved explorative search capability for global optimization and data clustering	Applied Artificial Intelligence	Gyanaranjan Shial Sabita Sahoo Sibarama Panigrahi	2023/12/31
Reactive power management by using a modified differential evolution algorithm	Optimal Control Applications and Methods	Manoj Kumar Kar Sanjay Kumar Arun Kumar Singh Sibarama Panigrahi	2023/3
Study and development of hybrid and ensemble forecasting models for air quality index forecasting	Expert Systems	Sushree Subhaprada Pradhan Sibarama Panigrahi Sourav Kumar Purohit Jatindra Kumar Dash	2023/12
Exploiting deep and hand-crafted features for texture image retrieval using class membership	Pattern Recognition Letters	Rajesh Yelchuri Jatindra Kumar Dash Priyanka Singh Arunanshu Mahapatro Sibarama Panigrahi	2022/8/1
Community Detection and Disease identification using Meta-heuristic based Clustering methods		Gyanaranjan Shial Sabita Sahoo Sibarama Panigrahi	2022/7/15
Identification and Analysis of Breast Cancer Disease using Swarm and Evolutionary Algorithm		Gyanaranjan Shial Sabita Sahoo Sibarama Panigrahi	2022/7/1
An Improved GWO Algorithm for Data Clustering		Gyanaranjan Shial Chitaranjan Tripathy Sibarama Panigrahi Sabita Sahoo	2022/10/27
Implementation of gradient gravitational search algorithm towards conformational search	Computational and Theoretical Chemistry	Rojalin Pradhan Sibarama Panigrahi Prabhat K Sahu	2022/2/1
Design and analysis of FOPID-based damping controllers using a modified grey wolf optimization algorithm	International Transactions on Electrical Energy Systems	Manoj Kumar Kar Sanjay Kumar Arun Kumar Singh Sibarama Panigrahi Murthy Cherukuri	2022/10/17
A non-probabilistic neutrosophic entropy-based method for high-order fuzzy time-series forecasting	Arabian Journal for Science and Engineering	Radha Mohan Pattanayak HS Behera Sibarama Panigrahi	2022/2
Studies on Machine Learning Techniques for Multivariate Forecasting of Delhi Air Quality Index		Sushree Subhaprada Pradhan Sibarama Panigrahi	2022/9/23
Time series forecasting of price of agricultural products using hybrid methods	Applied Artificial Intelligence	Sourav Kumar Purohit Sibarama Panigrahi Prabira Kumar Sethy Santi Kumari Behera	2021/12/15