A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting. - Sibarama Panigrahi; Himansu Sekhar Behera; Ajith Abraham (SoCPaR, 2016)

A hybrid ETS-ANN model for time series forecasting. - Sibarama Panigrahi; Himansu Sekhar Behera (Eng. Appl. Artif. Intell., 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)

Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model. - Sibarama Panigrahi; Himansu Sekhar Behera (Int. J. Comput. Intell. Stud., 2019)

A study on leading machine learning techniques for high order fuzzy time series forecasting. - Sibarama Panigrahi; Himansu Sekhar Behera (Eng. Appl. Artif. Intell., 2020)

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)

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)

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)

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)

An Improved GWO Algorithm for Data Clustering. - Gyanaranjan Shial; Chitaranjan Tripathy; Sibarama Panigrahi; Sabita Sahoo (CoCoLe, 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)

Forecasting Crude Oil Prices: A Machine Learning Perspective. - Sourav Kumar Purohit; Sibarama Panigrahi (CoCoLe, 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)

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., 2023)

Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method. - Kalyan Das; Satyabrata Das 001; Sibarama Panigrahi (Wirel. Pers. Commun., 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., 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., 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., 2023)

Crude Oil Price Forecasting Using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models. - Sourav Kumar Purohit; Sibarama Panigrahi; Aditya Narayan Jena (CoCoLe, 2024)

Automatic Histopathological Image Classification using Multi-Deep Features with Handcrafted Features and Shallow Machine Learning Models. - Sunrit Banerjee; Sibarama Panigrahi (ISED, 2024)

A Hybrid Approach to Rice Leaf Disease Detection Using Transfer Learning and SVM. - Raman Kumar Pal; Sibarama Panigrahi; Sneha Pratihar (ISED, 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., 2024)

A sine-cosine algorithm blended grey wolf optimisation algorithm for partitional clustering. - Gyanaranjan Shial; Chita Ranjan Tripathy; Sabita Sahoo; Sibarama Panigrahi (Int. J. Comput. Vis. Robotics, 2025)

Decomposition-based hybrid methods employing statistical, machine learning, and deep learning models for crude oil price forecasting. - Sourav Kumar Purohit; Sibarama Panigrahi (Neural Comput. Appl., 2025)