Sibarama Panigrahi

According to our database, Sibarama Panigrahi authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Sourav Kumar Purohit, Sibarama Panigrahi

Inf. Sci., February, 2024

2023

Study and development of hybrid and ensemble forecasting models for air quality index forecasting.

Sushree Subhaprada Pradhan, Sibarama Panigrahi, Sourav Kumar Purohit, Jatindra Kumar Dash

Expert Syst. J. Knowl. Eng., December, 2023

An Enhanced GWO Algorithm with Improved Explorative Search Capability for Global Optimization and Data Clustering.

Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi

Appl. Artif. Intell., December, 2023

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

Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi

Inf. Sci., May, 2023

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

Kalyan Das, Satyabrata Das, Sibarama Panigrahi

Wirel. Pers. Commun., April, 2023

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

Rojalin Pradhan, Sibarama Panigrahi, Prabhat K. Sahu

J. Chem. Inf. Model., January, 2023

A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm: A NATURE INSPIRED HYBRID PARTITIONAL CLUSTERING METHOD BASED ON GWO AND JAYA ALGORITHM.

Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi

Comput. Sci., 2023

2022

Exploiting deep and hand-crafted features for texture image retrieval using class membership.

Rajesh Yelchuri, Jatindra Kumar Dash, Priyanka Singh, Arunanshu Mahapatro, Sibarama Panigrahi

Pattern Recognit. Lett., 2022

2021

A cost-effective computer-vision based breast cancer diagnosis.

Prabira Kumar Sethy, Chanki Pandey, Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar, Sibarama Panigrahi

J. Intell. Fuzzy Syst., 2021

A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting.

Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi

Eng. Appl. Artif. Intell., 2021

On-tree fruit monitoring system using IoT and image analysis.

Santi Kumari Behera, Prabira Kumar Sethy, Santosh Kumar Sahoo, Sibarama Panigrahi, Sharad Chandra Rajpoot

Concurr. Eng. Res. Appl., 2021

Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods.

Sourav Kumar Purohit, Sibarama Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera

Appl. Artif. Intell., 2021

2020

A study on leading machine learning techniques for high order fuzzy time series forecasting.

Sibarama Panigrahi, Himansu Sekhar Behera

Eng. Appl. Artif. Intell., 2020

2019

Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model.

Sibarama Panigrahi, Himansu Sekhar Behera

Int. J. Comput. Intell. Stud., 2019

2017

A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training.

Sibarama Panigrahi

Int. Arab J. Inf. Technol., 2017

A hybrid ETS-ANN model for time series forecasting.

Sibarama Panigrahi, Himansu Sekhar Behera

Eng. Appl. Artif. Intell., 2017

2016

A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting.

Sibarama Panigrahi, Himansu Sekhar Behera, Ajith Abraham

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016