Himansu Sekhar Behera
Orcid: 0000-0002-8952-8383Affiliations:
- Veer Surendra Sai University of Technology, Burla, India
According to our database1,
Himansu Sekhar Behera
authored at least 44 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine.
Inf. Sci., May, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., 2022
A Jaya algorithm based wrapper method for optimal feature selection in supervised classification.
J. King Saud Univ. Comput. Inf. Sci., 2022
Innov. Syst. Softw. Eng., 2022
Int. J. Swarm Intell. Res., 2022
Correlation-based modified long short-term memory network approach for software defect prediction.
Evol. Syst., 2022
2021
Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India.
SN Comput. Sci., 2021
Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment.
J. Inf. Secur. Appl., 2021
Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature.
Innov. Syst. Softw. Eng., 2021
An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm.
Int. J. Autom. Comput., 2021
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities.
Trans. Emerg. Telecommun. Technol., 2021
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting.
Eng. Appl. Artif. Intell., 2021
2020
A study on leading machine learning techniques for high order fuzzy time series forecasting.
Eng. Appl. Artif. Intell., 2020
Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades.
Comput. Sci. Rev., 2020
Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment.
Comput. Sci., 2020
Adv. Fuzzy Syst., 2020
2019
Efficient financial time series prediction with evolutionary virtual data position exploration.
Neural Comput. Appl., 2019
Int. J. Comput. Intell. Stud., 2019
ACFLN: artificial chemical functional link network for prediction of stock market index.
Evol. Syst., 2019
A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty.
Expert Syst. J. Knowl. Eng., 2019
2018
Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis.
Neural Comput. Appl., 2018
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., 2018
Int. J. Rough Sets Data Anal., 2018
2017
Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis.
Expert Syst. Appl., 2017
2016
A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning.
Swarm Evol. Comput., 2016
Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO.
Int. J. Rough Sets Data Anal., 2016
A self adaptive harmony search based functional link higher order ANN for non-linear data classification.
Neurocomputing, 2016
A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment.
Neurocomputing, 2016
Int. J. Data Anal. Tech. Strateg., 2016
An efficient FLANN model with CRO-based gradient descent learning for classification.
Int. J. Bus. Inf. Syst., 2016
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., 2016
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
2014
A Novel FLANN with a Hybrid PSO and GA Based Gradient Descent Learning for Classification.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014
Proceedings of the 2014 International Conference on Information Technology, 2014
2013
Int. J. Bus. Intell. Data Min., 2013
2012
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering.
Swarm Evol. Comput., 2012
2011
Comparative performance analysis of multi dynamic time quantum Round Robin(MDTQRR) algorithm with arrival time
CoRR, 2011
Priority Based Dynamic Round Robin (PBDRR) Algorithm with Intelligent Time Slice for Soft Real Time Systems
CoRR, 2011
A New Dynamic Round Robin and SRTN Algorithm with Variable Original Time Slice and Intelligent Time Slice for Soft Real Time Systems
CoRR, 2011
A New Proposed Dynamic Quantum with Re-Adjusted Round Robin Scheduling Algorithm and Its Performance Analysis
CoRR, 2011
2010
Appl. Soft Comput., 2010
2008
Time sequence data mining using time-frequency analysis and soft computing techniques.
Appl. Soft Comput., 2008