Himansu Sekhar Behera

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 34

Top Topics

Top Venues

Eng. Appl. Artif. Intell.

J. King Saud Univ. Comput. Inf. Sci.

Innov. Syst. Softw. Eng.

Publications

Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine. Inf. Sci. 626 (2023)
Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera
A Jaya algorithm based wrapper method for optimal feature selection in supervised classification. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part B) (2022)
Suresh Kumar Pemmada, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik
Correlation-based modified long short-term memory network approach for software defect prediction. Evol. Syst. 13 (6) (2022)
Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera, Shalini Jaiswal, Priyanka Mahato, Minakhi Rout
Biomedical data analysis using neuro-fuzzy model with post-feature reduction. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part A) (2022)
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting. Int. J. Swarm Intell. Res. 13 (1) (2022)
P. Suresh Kumar, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik
A pragmatic ensemble learning approach for effective software effort estimation. Innov. Syst. Softw. Eng. 18 (2) (2022)
P. Suresh Kumar, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik
Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature. Innov. Syst. Softw. Eng. 17 (4) (2021)
H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, P. Suresh Kumar
Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India. SN Comput. Sci. 2 (5) (2021)
Dukka Karun Kumar Reddy, Himansu Sekhar Behera, Janmenjoy Nayak, Pandi Vijayakumar, Bighnaraj Naik, Pradeep Kumar Singh
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities. Trans. Emerg. Telecommun. Technol. 32 (7) (2021)
Pradipta Kumar Das, Himansu Sekhar Behera, Prabir Kumar Jena, Bijaya K. Panigrahi
An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm. Int. J. Autom. Comput. 18 (6) (2021)
Dukka Karun Kumar Reddy, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Uttam Ghosh, Pradip Kumar Sharma
Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment. J. Inf. Secur. Appl. 60 (2021)
Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting. Eng. Appl. Artif. Intell. 99 (2021)
Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera
A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification. Adv. Fuzzy Syst. 2020 (2020)
Sibarama Panigrahi, Himansu Sekhar Behera
A study on leading machine learning techniques for high order fuzzy time series forecasting. Eng. Appl. Artif. Intell. 87 (2020)
P. Suresh Kumar, Himansu Sekhar Behera, Anisha Kumari K, Janmenjoy Nayak, Bighnaraj Naik
Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades. Comput. Sci. Rev. 38 (2020)
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment. Comput. Sci. 21 (4) (2020)
Tirtharaj Dash, Himansu Sekhar Behera
A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. Expert Syst. J. Knowl. Eng. 36 (1) (2019)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
Efficient financial time series prediction with evolutionary virtual data position exploration. Neural Comput. Appl. 31 (S-2) (2019)
Sibarama Panigrahi, Himansu Sekhar Behera
Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model. Int. J. Comput. Intell. Stud. 8 (1/2) (2019)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
ACFLN: artificial chemical functional link network for prediction of stock market index. Evol. Syst. 10 (4) (2019)
Bighnaraj Naik, Janmenjoy Nayak, Himansu Sekhar Behera
FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification. Int. J. Rough Sets Data Anal. 5 (1) (2018)
Janmenjoy Nayak, Bighnaraj Naik, Himansu Sekhar Behera, Ajith Abraham
Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis. Neural Comput. Appl. 30 (5) (2018)
Bighnaraj Naik, Janmenjoy Nayak, Himansu Sekhar Behera
A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data. J. King Saud Univ. Comput. Inf. Sci. 30 (1) (2018)
Janmenjoy Nayak, Bighnaraj Naik, Himansu Sekhar Behera, Ajith Abraham
Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis. Expert Syst. Appl. 79 (2017)
Sibarama Panigrahi, Himansu Sekhar Behera
A hybrid ETS-ANN model for time series forecasting. Eng. Appl. Artif. Intell. 66 (2017)
Sibarama Panigrahi, Himansu Sekhar Behera, Ajith Abraham
A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting. SoCPaR (2016)
Pradipta Kumar Das, Himansu Sekhar Behera, Bijaya K. Panigrahi
A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning. Swarm Evol. Comput. 28 (2016)
D. P. Kanungo, Janmenjoy Nayak, Bighnaraj Naik, Himansu Sekhar Behera
Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO. Int. J. Rough Sets Data Anal. 3 (1) (2016)
Bighnaraj Naik, Janmenjoy Nayak, Himansu Sekhar Behera
An efficient FLANN model with CRO-based gradient descent learning for classification. Int. J. Bus. Inf. Syst. 21 (1) (2016)
Soumya Ranjan Sahu, Himansu Sekhar Behera
A hybrid CRO-based FLANN for financial stock market forecasting. Int. J. Data Anal. Tech. Strateg. 8 (3) (2016)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market. Int. J. Appl. Metaheuristic Comput. 7 (2) (2016)
Pradipta Kumar Das, Himansu Sekhar Behera, Swagatam Das, Hrudaya Kumar Tripathy, Bijaya K. Panigrahi, S. K. Pradhan
A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment. Neurocomputing 207 (2016)
Bighnaraj Naik, Janmenjoy Nayak, Himansu Sekhar Behera, Ajith Abraham
A self adaptive harmony search based functional link higher order ANN for non-linear data classification. Neurocomputing 179 (2016)
Tirtharaj Dash, Himansu Sekhar Behera
A Fuzzy MLP Approach for Non-linear Pattern Classification. CoRR (2016)
Bighnaraj Naik, Janmenjoy Nayak, Himansu Sekhar Behera
A Novel FLANN with a Hybrid PSO and GA Based Gradient Descent Learning for Classification. FICTA (1) (2014)
Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera
GA Based Polynomial Neural Network for Data Classification. ICIT (2014)
Archana Baral, Himansu Sekhar Behera
A novel chemical reaction-based clustering and its performance analysis. Int. J. Bus. Intell. Data Min. 8 (2) (2013)
Bijaya N. Biswal, Himansu Sekhar Behera, Ranjeeta Bisoi, Pradipta K. Dash
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. Swarm Evol. Comput. 4 (2012)
Himansu Sekhar Behera, Simpi Patel, Bijayalakshmi Panda
A New Dynamic Round Robin and SRTN Algorithm with Variable Original Time Slice and Intelligent Time Slice for Soft Real Time Systems CoRR (2011)
Rakesh Mohanty, Himansu Sekhar Behera, Khusbu Patwari, Monisha Dash, M. Lakshmi Prasanna
Priority Based Dynamic Round Robin (PBDRR) Algorithm with Intelligent Time Slice for Soft Real Time Systems CoRR (2011)
Himansu Sekhar Behera, Rakesh Mohanty, Debashree Nayak
A New Proposed Dynamic Quantum with Re-Adjusted Round Robin Scheduling Algorithm and Its Performance Analysis CoRR (2011)
Himansu Sekhar Behera, Rakesh Mohanty, Sabyasachi Sahu, Sourav Kumar Bhoi
Comparative performance analysis of multi dynamic time quantum Round Robin(MDTQRR) algorithm with arrival time CoRR (2011)
Himansu Sekhar Behera, Pradipta K. Dash, Bijaya N. Biswal
Power quality time series data mining using S-transform and fuzzy expert system. Appl. Soft Comput. 10 (3) (2010)
Pradipta K. Dash, Himansu Sekhar Behera, Ian W. C. Lee
Time sequence data mining using time-frequency analysis and soft computing techniques. Appl. Soft Comput. 8 (1) (2008)