Bighnaraj Naik
Orcid: 0000-0002-9761-8389Affiliations:
- Veer Surendra Sai University of Technology, India
According to our database1,
Bighnaraj Naik
authored at least 48 papers
between 2014 and 2023.
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Bibliography
2023
A deep intelligent framework for software risk prediction using improved firefly optimization.
Neural Comput. Appl., September, 2023
Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network.
Digit. Commun. Networks, February, 2023
Deep belief network-based probabilistic generative model for detection of robotic manipulator failure execution.
Soft Comput., 2023
2022
Follower Link Prediction Using the XGBoost Classification Model with Multiple Graph Features.
Wirel. Pers. Commun., 2022
Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection.
J. Supercomput., 2022
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework.
Sustain. Comput. Informatics Syst., 2022
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.
Sensors, 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
Correlation-based modified long short-term memory network approach for software defect prediction.
Evol. Syst., 2022
Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic.
Evol. Intell., 2022
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., 2022
Socio-economic factor analysis for sustainable and smart precision agriculture: An ensemble learning approach.
Comput. Commun., 2022
2021
Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment.
IEEE Trans. Ind. Informatics, 2021
Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India.
SN Comput. Sci., 2021
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs.
Pattern Recognit. Lett., 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
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data.
Neurocomputing, 2021
Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis.
Int. J. Appl. Metaheuristic Comput., 2021
Generation of overlapping clusters constructing suitable graph for crime report analysis.
Future Gener. Comput. Syst., 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
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition.
Appl. Soft Comput., 2021
Appl. Intell., 2021
2020
A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020
Intelligent Secure Ecosystem Based on Metaheuristic and Functional Link Neural Network for Edge of Things.
IEEE Trans. Ind. Informatics, 2020
SN Comput. Sci., 2020
Secur. Priv., 2020
Special issue on "Soft computing techniques: applications and challenges" neural computing and applications.
Neural Comput. Appl., 2020
Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Deep learning in electrical utility industry: A comprehensive review of a decade of research.
Eng. Appl. Artif. Intell., 2020
Intelligent food processing: Journey from artificial neural network to deep learning.
Comput. Sci. Rev., 2020
Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades.
Comput. Sci. Rev., 2020
Adv. Fuzzy Syst., 2020
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
Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters.
Expert Syst. Appl., 2018
A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification.
J. Classif., 2018
2017
Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis.
Expert Syst. Appl., 2017
Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach.
Proceedings of the Hybrid Intelligent Systems, 2017
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
An efficient FLANN model with CRO-based gradient descent learning for classification.
Int. J. Bus. Inf. Syst., 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