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ORCIDBighnaraj Naik
Person information
- affiliation: Veer Surendra Sai University of Technology, India
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2020 – today
- 2023
[j44]Debasmita Mishra
, Bighnaraj Naik, Janmenjoy Nayak, Alireza Souri, Pandit Byomakesha Dash, S. Vimal:
Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network. Digit. Commun. Networks 9(1): 125-137 (2023)- [j43]Suresh Kumar Pemmada, Janmenjoy Nayak, Bighnaraj Naik:
A deep intelligent framework for software risk prediction using improved firefly optimization. Neural Comput. Appl. 35(26): 19523-19539 (2023) - 2022
- [j42]Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal:
Socio-economic factor analysis for sustainable and smart precision agriculture: An ensemble learning approach. Comput. Commun. 182: 72-87 (2022) - [j41]Janmenjoy Nayak, Manohar Mishra, Bighnaraj Naik, Hanumanthu Swapnarekha, Korhan Cengiz, Vimal Shanmuganathan:
An impact study of COVID-19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics. Expert Syst. J. Knowl. Eng. 39(3) (2022) - [j40]Bighnaraj Naik, Janmenjoy Nayak, Pandit Byomakesha Dash:
Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic. Evol. Intell. 15(3): 2055-2075 (2022) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]Bharat Kumar Padhi, Sujata Chakravarty, Bighnaraj Naik, Radha Mohan Pattanayak, Himansu Das:
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. Sensors 22(23): 9321 (2022) - [j34]Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, S. Vimal, Seifedine Kadry:
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework. Sustain. Comput. Informatics Syst. 36: 100805 (2022) - [j33]Janmenjoy Nayak, Saroj K. Meher, Alireza Souri, Bighnaraj Naik, S. Vimal:
Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection. J. Supercomput. 78(13): 14866-14891 (2022) - [j32]Dayal Kumar Behera, Madhabananda Das, Subhra Swetanisha, Janmenjoy Nayak, S. Vimal, Bighnaraj Naik:
Follower Link Prediction Using the XGBoost Classification Model with Multiple Graph Features. Wirel. Pers. Commun. 127(1): 695-714 (2022) - 2021
- [j31]Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding, Danilo Pelusi:
Intelligent system for COVID-19 prognosis: a state-of-the-art survey. Appl. Intell. 51(5): 2908-2938 (2021) - [j30]Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, Alireza Souri, Vimal Shanmuganathan:
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition. Appl. Soft Comput. 107: 107478 (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]Janmenjoy Nayak, Bighnaraj Naik, Asit Kumar Das, Danilo Pelusi:
Nature inspired optimization and its application to engineering. Evol. Intell. 14(1): 1-3 (2021) - [j27]Ankur Das, Janmenjoy Nayak, Bighnaraj Naik, Uttam Ghosh:
Generation of overlapping clusters constructing suitable graph for crime report analysis. Future Gener. Comput. Syst. 118: 339-357 (2021) - [j26]Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, Danilo Pelusi:
Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis. Int. J. Appl. Metaheuristic Comput. 12(2): 49-66 (2021) - [j25]Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi:
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. Neurocomputing 457: 40-66 (2021) - [j24]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) - [j23]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) - [j22]Etuari Oram, Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal, Sathees Kumar Nataraj:
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs. Pattern Recognit. Lett. 152: 100-106 (2021) - [j21]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) - [j20]Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Manohar Mishra:
Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment. IEEE Trans. Ind. Informatics 17(6): 4298-4307 (2021) - 2020
- [j19]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) - [j18]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) - [j17]Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik, Danilo Pelusi:
Intelligent food processing: Journey from artificial neural network to deep learning. Comput. Sci. Rev. 38: 100297 (2020) - [j16]Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham:
Deep learning in electrical utility industry: A comprehensive review of a decade of research. Eng. Appl. Artif. Intell. 96: 104000 (2020) - [j15]Danilo Pelusi, Raffaele Mascella, Luca G. Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng:
An Improved Moth-Flame Optimization algorithm with hybrid search phase. Knowl. Based Syst. 191: 105277 (2020) - [j14]Danilo Pelusi, Raffaele Mascella, Luca G. Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng:
Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm. Knowl. Based Syst. 193: 105404 (2020) - [j13]Janmenjoy Nayak, G. T. Chandrasekhar, Bighnaraj Naik, Danilo Pelusi, Ajith Abraham:
Special issue on "Soft computing techniques: applications and challenges" neural computing and applications. Neural Comput. Appl. 32(12): 7585 (2020) - [j12]Pandit Byomakesha Dash, Janmenjoy Nayak, Bighnaraj Naik, Etuari Oram, SK Hafizul Islam:
Model based IoT security framework using multiclass adaptive boosting with SMOTE. Secur. Priv. 3(5) (2020) - [j11]Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, Pandit Byomakesha Dash:
Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges. SN Comput. Sci. 1(6): 311 (2020) - [j10]Bighnaraj Naik, Mohammad S. Obaidat, Janmenjoy Nayak, Danilo Pelusi, Pandi Vijayakumar, SK Hafizul Islam:
Intelligent Secure Ecosystem Based on Metaheuristic and Functional Link Neural Network for Edge of Things. IEEE Trans. Ind. Informatics 16(3): 1947-1956 (2020) - [p1]Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, A. Vamsi Krishna:
A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 137-159
2010 – 2019
- 2018
- [j9]Janmenjoy Nayak, Bighnaraj Naik:
A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification. J. Classif. 35(3): 511-548 (2018) - [j8]Danilo Pelusi, Raffaele Mascella, Luca G. Tallini, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham:
Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters. Expert Syst. Appl. 102: 234-244 (2018) - [j7]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) - [j6]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) - [j5]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
- [j4]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) - [c2]Bighnaraj Naik, Debasmita Mishra, Janmenjoy Nayak, Danilo Pelusi, Ajith Abraham:
Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach. HIS 2017: 204-212 - 2016
- [j3]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) - [j2]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) - [j1]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) - 2014
- [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
Coauthor Index
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