Sibarama Panigrahi

25 papers Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model order reduction for SISO and MIMO system using improved adaptive differential evolution algorithm.
Soft Comput.
Aditya Prasad Padhy, Sibarama Panigrahi, Vinay Pratap Singh, Prateek Pratyasha
2025 J jnl
A sine-cosine algorithm blended grey wolf optimisation algorithm for partitional clustering.
Int. J. Comput. Vis. Robotics
Gyanaranjan Shial, Chita Ranjan Tripathy, Sabita Sahoo, Sibarama Panigrahi
2025 J jnl
Decomposition-based hybrid methods employing statistical, machine learning, and deep learning models for crude oil price forecasting.
Neural Comput. Appl.
Sourav Kumar Purohit, Sibarama Panigrahi
2024 — conf
A Hybrid Approach to Rice Leaf Disease Detection Using Transfer Learning and SVM.
ISED
Raman Kumar Pal, Sibarama Panigrahi, Sneha Pratihar
2024 — conf
Automatic Histopathological Image Classification using Multi-Deep Features with Handcrafted Features and Shallow Machine Learning Models.
ISED
Sunrit Banerjee, Sibarama Panigrahi
2024 — conf
Crude Oil Price Forecasting Using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models.
CoCoLe
Sourav Kumar Purohit, Sibarama Panigrahi, Aditya Narayan Jena
2024 J jnl
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models.
Inf. Sci.
Sourav Kumar Purohit, Sibarama Panigrahi
2023 J jnl
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.
Comput. Sci.
Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi
2023 J jnl
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine.
Inf. Sci.
Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi
2023 J jnl
An Enhanced GWO Algorithm with Improved Explorative Search Capability for Global Optimization and Data Clustering.
Appl. Artif. Intell.
Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi
2023 J jnl
Conformational Search for the Building Block of Proteins Based on the Gradient Gravitational Search Algorithm (ConfGGS) Using Force Fields: CHARMM, AMBER, and OPLS-AA.
J. Chem. Inf. Model.
Rojalin Pradhan, Sibarama Panigrahi, Prabhat K. Sahu
2023 J jnl
Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method.
Wirel. Pers. Commun.
Kalyan Das, Satyabrata Das, Sibarama Panigrahi
2023 — conf
Forecasting Crude Oil Prices: A Machine Learning Perspective.
CoCoLe
Sourav Kumar Purohit, Sibarama Panigrahi
2023 J jnl
Study and development of hybrid and ensemble forecasting models for air quality index forecasting.
Expert Syst. J. Knowl. Eng.
Sushree Subhaprada Pradhan, Sibarama Panigrahi, Sourav Kumar Purohit, Jatindra Kumar Dash
2022 — conf
An Improved GWO Algorithm for Data Clustering.
CoCoLe
Gyanaranjan Shial, Chitaranjan Tripathy, Sibarama Panigrahi, Sabita Sahoo
2022 J jnl
Exploiting deep and hand-crafted features for texture image retrieval using class membership.
Pattern Recognit. Lett.
Rajesh Yelchuri, Jatindra Kumar Dash, Priyanka Singh, Arunanshu Mahapatro, Sibarama Panigrahi
2021 J jnl
A cost-effective computer-vision based breast cancer diagnosis.
J. Intell. Fuzzy Syst.
Prabira Kumar Sethy, Chanki Pandey, Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar, Sibarama Panigrahi
2021 J jnl
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting.
Eng. Appl. Artif. Intell.
Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi
2021 J jnl
On-tree fruit monitoring system using IoT and image analysis.
Concurr. Eng. Res. Appl.
Santi Kumari Behera, Prabira Kumar Sethy, Santosh Kumar Sahoo, Sibarama Panigrahi, Sharad Chandra Rajpoot
2021 J jnl
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods.
Appl. Artif. Intell.
Sourav Kumar Purohit, Sibarama Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera
2020 J jnl
A study on leading machine learning techniques for high order fuzzy time series forecasting.
Eng. Appl. Artif. Intell.
Sibarama Panigrahi, Himansu Sekhar Behera
2019 J jnl
Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model.
Int. J. Comput. Intell. Stud.
Sibarama Panigrahi, Himansu Sekhar Behera
2017 J jnl
A hybrid ETS-ANN model for time series forecasting.
Eng. Appl. Artif. Intell.
Sibarama Panigrahi, Himansu Sekhar Behera
2017 J jnl
A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training.
Int. Arab J. Inf. Technol.
Sibarama Panigrahi
2016 — conf
A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting.
SoCPaR
Sibarama Panigrahi, Himansu Sekhar Behera, Ajith Abraham