Bighnaraj Naik

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 46

Top Topics

Top Venues

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

Neural Comput. Appl.

Comput. Sci. Rev.

Publications

Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal
Deep belief network-based probabilistic generative model for detection of robotic manipulator failure execution. Soft Comput. 27 (1) (2023)
Suresh Kumar Pemmada, Janmenjoy Nayak, Bighnaraj Naik
A deep intelligent framework for software risk prediction using improved firefly optimization. Neural Comput. Appl. 35 (26) (2023)
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) (2023)
Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, S. Vimal, Seifidine Kadry
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework. Sustain. Comput. Informatics Syst. 36 (2022)
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)
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)
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) (2022)
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) (2022)
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)
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 (2022)
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) (2022)
Bighnaraj Naik, Janmenjoy Nayak, Pandit Byomakesha Dash
Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic. Evol. Intell. 15 (3) (2022)
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 (2021)
Ankur Das, Janmenjoy Nayak, Bighnaraj Naik, Uttam Ghosh
Generation of overlapping clusters constructing suitable graph for crime report analysis. Future Gener. Comput. Syst. 118 (2021)
Janmenjoy Nayak, Bighnaraj Naik, Asit Kumar Das, Danilo Pelusi
Nature inspired optimization and its application to engineering. Evol. Intell. 14 (1) (2021)
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)
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) (2021)
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 (2021)
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 (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)
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) (2021)
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) (2021)
Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera
A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification. Adv. Fuzzy Syst. 2020 (2020)
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) (2020)
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 (2020)
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 (2020)
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) (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)
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 (2020)
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) (2020)
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 (2020)
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)
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 (2018)
Janmenjoy Nayak, Bighnaraj Naik
A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification. J. Classif. 35 (3) (2018)
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)
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)
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)
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)
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)