Time sequence data mining using time-frequency analysis and soft computing techniques. - Pradipta K. Dash; Himansu Sekhar Behera; Ian W. C. Lee (Appl. Soft Comput., 2008)

Power quality time series data mining using S-transform and fuzzy expert system. - Himansu Sekhar Behera; Pradipta K. Dash; Bijaya N. Biswal (Appl. Soft Comput., 2010)

A New Proposed Dynamic Quantum with Re-Adjusted Round Robin Scheduling Algorithm and Its Performance Analysis - Himansu Sekhar Behera; Rakesh Mohanty; Debashree Nayak (CoRR, 2011)

A New Dynamic Round Robin and SRTN Algorithm with Variable Original Time Slice and Intelligent Time Slice for Soft Real Time Systems - Himansu Sekhar Behera; Simpi Patel; Bijayalakshmi Panda (CoRR, 2011)

Priority Based Dynamic Round Robin (PBDRR) Algorithm with Intelligent Time Slice for Soft Real Time Systems - Rakesh Mohanty; Himansu Sekhar Behera; Khusbu Patwari; Monisha Dash; M. Lakshmi Prasanna (CoRR, 2011)

Comparative performance analysis of multi dynamic time quantum Round Robin(MDTQRR) algorithm with arrival time - Himansu Sekhar Behera; Rakesh Mohanty; Sabyasachi Sahu; Sourav Kumar Bhoi (CoRR, 2011)

Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. - Bijaya N. Biswal; Himansu Sekhar Behera; Ranjeeta Bisoi; Pradipta K. Dash (Swarm Evol. Comput., 2012)

A novel chemical reaction-based clustering and its performance analysis. - Archana Baral; Himansu Sekhar Behera (Int. J. Bus. Intell. Data Min., 2013)

GA Based Polynomial Neural Network for Data Classification. - Janmenjoy Nayak; N. Sahoo; J. R. Swain; Tirtharaj Dash; Himansu Sekhar Behera (ICIT, 2014)

A Novel FLANN with a Hybrid PSO and GA Based Gradient Descent Learning for Classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (FICTA (1), 2014)

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

A Fuzzy MLP Approach for Non-linear Pattern Classification. - Tirtharaj Dash; Himansu Sekhar Behera (CoRR, 2016)

An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market. - Sarat Chandra Nayak; Bijan Bihari Misra; Himansu Sekhar Behera (Int. J. Appl. Metaheuristic Comput., 2016)

An efficient FLANN model with CRO-based gradient descent learning for classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (Int. J. Bus. Inf. Syst., 2016)

A hybrid CRO-based FLANN for financial stock market forecasting. - Soumya Ranjan Sahu; Himansu Sekhar Behera (Int. J. Data Anal. Tech. Strateg., 2016)

A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment. - Pradipta Kumar Das; Himansu Sekhar Behera; Swagatam Das; Hrudaya Kumar Tripathy; Bijaya K. Panigrahi; S. K. Pradhan (Neurocomputing, 2016)

A self adaptive harmony search based functional link higher order ANN for non-linear data classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera; Ajith Abraham (Neurocomputing, 2016)

Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO. - Debi Prasanna Kanungo; Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera (Int. J. Rough Sets Data Anal., 2016)

A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning. - Pradipta Kumar Das; Himansu Sekhar Behera; Bijaya K. Panigrahi (Swarm Evol. Comput., 2016)

A hybrid ETS-ANN model for time series forecasting. - Sibarama Panigrahi; Himansu Sekhar Behera (Eng. Appl. Artif. Intell., 2017)

Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis. - Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera; Ajith Abraham (Expert Syst. Appl., 2017)

FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (Int. J. Rough Sets Data Anal., 2018)

A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (J. King Saud Univ. Comput. Inf. Sci., 2018)

Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis. - Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera; Ajith Abraham (Neural Comput. Appl., 2018)

A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. - Tirtharaj Dash; Himansu Sekhar Behera (Expert Syst. J. Knowl. Eng., 2019)

ACFLN: artificial chemical functional link network for prediction of stock market index. - Sarat Chandra Nayak; Bijan Bihari Misra; Himansu Sekhar Behera (Evol. Syst., 2019)

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

Efficient financial time series prediction with evolutionary virtual data position exploration. - Sarat Chandra Nayak; Bijan Bihari Misra; Himansu Sekhar Behera (Neural Comput. Appl., 2019)

A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera (Adv. Fuzzy Syst., 2020)

Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment. - Kishore Kumar Sahu; Sarat Chandra Nayak; Himansu Sekhar Behera (Comput. Sci., 2020)

Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades. - P. Suresh Kumar; Himansu Sekhar Behera; Anisha Kumari K; Janmenjoy Nayak; Bighnaraj Naik (Comput. Sci. Rev., 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)

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)

Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities. - Dukka Karun Kumar Reddy; Himansu Sekhar Behera; Janmenjoy Nayak; Pandi Vijayakumar; Bighnaraj Naik; Pradeep Kumar Singh 001 (Trans. Emerg. Telecommun. Technol., 2021)

An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm. - Pradipta Kumar Das; Himansu Sekhar Behera; Prabir Kumar Jena; Bijaya K. Panigrahi (Int. J. Autom. Comput., 2021)

Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature. - P. Suresh Kumar; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Innov. Syst. Softw. Eng., 2021)

Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment. - Dukka Karun Kumar Reddy; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik; Uttam Ghosh; Pradip Kumar Sharma (J. Inf. Secur. Appl., 2021)

Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India. - H. Swapnarekha; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik; P. Suresh Kumar (SN Comput. Sci., 2021)

Correlation-based modified long short-term memory network approach for software defect prediction. - Suresh Kumar Pemmada; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Evol. Syst., 2022)

Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting. - Kishore Kumar Sahu; Sarat Chandra Nayak; Himansu Sekhar Behera (Int. J. Swarm Intell. Res., 2022)

A pragmatic ensemble learning approach for effective software effort estimation. - P. Suresh Kumar; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Innov. Syst. Softw. Eng., 2022)

A Jaya algorithm based wrapper method for optimal feature selection in supervised classification. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera (J. King Saud Univ. Comput. Inf. Sci., 2022)

Biomedical data analysis using neuro-fuzzy model with post-feature reduction. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera; Shalini Jaiswal; Priyanka Mahato; Minakhi Rout (J. King Saud Univ. Comput. Inf. Sci., 2022)

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)