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ORCIDHimansu Sekhar Behera
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- affiliation: Veer Surendra Sai University of Technology, Burla, India
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2020 – today
- 2023
[j36]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: 494-523 (2023)- 2022
- [j35]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): 869-887 (2022) - [j34]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): 1-25 (2022) - [j33]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): 283-299 (2022) - [j32]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): 2540-2550 (2022) - [j31]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): 3851-3863 (2022) - 2021
- [j30]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: 104136 (2021) - [j29]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) - [j28]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): 1032-1044 (2021) - [j27]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): 355-379 (2021) - [j26]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: 102866 (2021) - [j25]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): 416 (2021) - 2020
- [j24]Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera:
A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification. Adv. Fuzzy Syst. 2020: 4152049:1-4152049:15 (2020) - [j23]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) - [j22]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: 100288 (2020) - [j21]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)
2010 – 2019
- 2019
- [j20]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) - [j19]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): 567-592 (2019) - [j18]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): 4-26 (2019) - [j17]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): 1053-1074 (2019) - 2018
- [j16]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): 13-33 (2018) - [j15]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): 120-139 (2018) - [j14]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): 1445-1468 (2018) - 2017
- [j13]Sibarama Panigrahi, Himansu Sekhar Behera:
A hybrid ETS-ANN model for time series forecasting. Eng. Appl. Artif. Intell. 66: 49-59 (2017) - [j12]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: 282-295 (2017) - 2016
- [j11]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): 39-57 (2016) - [j10]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): 73-116 (2016) - [j9]Soumya Ranjan Sahu, Himansu Sekhar Behera:
A hybrid CRO-based FLANN for financial stock market forecasting. Int. J. Data Anal. Tech. Strateg. 8(3): 261-279 (2016) - [j8]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: 69-87 (2016) - [j7]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: 735-753 (2016) - [j6]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): 1-19 (2016) - [j5]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: 14-28 (2016) - [c3]Sibarama Panigrahi, Himansu Sekhar Behera, Ajith Abraham:
A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting. SoCPaR 2016: 592-601 - [i5]Tirtharaj Dash, Himansu Sekhar Behera:
A Fuzzy MLP Approach for Non-linear Pattern Classification. CoRR abs/1601.03481 (2016) - 2014
- [c2]Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera:
GA Based Polynomial Neural Network for Data Classification. ICIT 2014: 234-239 - [c1]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: 745-754 - 2013
- [j4]Archana Baral, Himansu Sekhar Behera:
A novel chemical reaction-based clustering and its performance analysis. Int. J. Bus. Intell. Data Min. 8(2): 184-198 (2013) - 2012
- [j3]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: 12-24 (2012) - 2011
- [i4]Himansu Sekhar Behera, Rakesh Mohanty, Debashree Nayak:
A New Proposed Dynamic Quantum with Re-Adjusted Round Robin Scheduling Algorithm and Its Performance Analysis. CoRR abs/1103.3831 (2011) - [i3]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 abs/1103.3832 (2011) - [i2]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 abs/1105.1736 (2011) - [i1]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 abs/1109.3076 (2011) - 2010
- [j2]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): 945-955 (2010)
2000 – 2009
- 2008
- [j1]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): 202-215 (2008)
Coauthor Index
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