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Janmenjoy Nayak
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Journal Articles
- 2023
- [j60]Mehwish Naushin, Asit Kumar Das
, Janmenjoy Nayak
, Danilo Pelusi:
Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem. Axioms 12(4): 345 (2023) - [j59]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) - [j58]Janmenjoy Nayak, David Al-Dabass, Danilo Pelusi, Manohar Mishra:
Special issue on machine learning for security and privacy: advancing the state-of-the-art applications. Neural Comput. Appl. 35(7): 4809-4812 (2023) - [j57]Ghazaala Yasmin, Sujit Chowdhury
, Janmenjoy Nayak, Priyanka Das, Asit Kumar Das
:
Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework. Neural Comput. Appl. 35(7): 4881-4902 (2023) - [j56]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) - [j55]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): 363-375 (2023) - 2022
- [j54]Manohar Mishra
, Monalisa Biswal
, Ramesh C. Bansal
, Janmenjoy Nayak
, Ajith Abraham
, Om P. Malik
:
Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions. IEEE Access 10: 100312-100336 (2022) - [j53]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) - [j52]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) - [j51]Soumya Ranjan Nayak
, Janmenjoy Nayak
, S. Vimal
, Vaibhav Arora, Utkarsh Sinha:
An ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j50]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) - [j49]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) - [j48]Vatsala Anand
, Sheifali Gupta
, Deepika Koundal
, Soumya Ranjan Nayak, Janmenjoy Nayak
, S. Vimal:
Multi-class Skin Disease Classification Using Transfer Learning Model. Int. J. Artif. Intell. Tools 31(2): 2250029:1-2250029:19 (2022) - [j47]Jithmi Shashirangana
, Heshan Padmasiri
, Dulani Meedeniya
, Charith Perera
, Soumya Ranjan Nayak
, Janmenjoy Nayak
, Shanmuganathan Vimal
, Seifedine Kadry
:
License plate recognition using neural architecture search for edge devices. Int. J. Intell. Syst. 37(12): 10211-10248 (2022) - [j46]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) - [j45]Manoj Diwakar, Prabhishek Singh, Achyut Shankar, Soumya Ranjan Nayak
, Janmenjoy Nayak, S. Vimal, Ravinder Singh
, Dilip Singh Sisodia
:
Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 15 (2022) - [j44]Sathyanarayanan Gopalakrishnan, Supriya Sridharan, Soumya Ranjan Nayak, Janmenjoy Nayak, Swaminathan Venkatraman
:
Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI. Pattern Recognit. Lett. 153: 246-253 (2022) - [j43]Manohar Mishra
, Bhaskar Patnaik
, Ramesh C. Bansal
, Raj Naidoo
, Bignaraj Naik, Janmenjoy Nayak
:
DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue. IEEE Syst. J. 16(2): 2008-2019 (2022) - [j42]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) - [j41]Weiping Ding
, Shouvik Chakraborty
, Kalyani Mali, Sankhadeep Chatterjee
, Janmenjoy Nayak
, Asit Kumar Das
, Soumen Banerjee
:
An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images. IEEE Trans. Fuzzy Syst. 30(8): 2902-2914 (2022) - [j40]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) - [j39]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
- [j38]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) - [j37]Chirantana Mallick, Asit Kumar Das
, Weiping Ding, Janmenjoy Nayak:
Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms. Appl. Soft Comput. 106: 107347 (2021) - [j36]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) - [j35]Praveen Kumar Malik, Rohit Sharma
, Rajesh Singh
, Anita Gehlot
, Suresh Chandra Satapathy, Waleed S. Alnumay
, Danilo Pelusi, Uttam Ghosh
, Janmenjoy Nayak:
Industrial Internet of Things and its Applications in Industry 4.0: State of The Art. Comput. Commun. 166: 125-139 (2021) - [j34]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) - [j33]Janmenjoy Nayak, Bighnaraj Naik
, Asit Kumar Das, Danilo Pelusi:
Nature inspired optimization and its application to engineering. Evol. Intell. 14(1): 1-3 (2021) - [j32]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) - [j31]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) - [j30]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) - [j29]Priyanka Das
, Asit Kumar Das
, Janmenjoy Nayak
, Danilo Pelusi
, Weiping Ding:
Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. Neurocomputing 459: 465-480 (2021) - [j28]Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding:
Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization. Inf. Sci. 562: 279-303 (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]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) - [j24]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) - [j23]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
- [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]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) - [j20]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) - [j19]Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi
, Weiping Ding:
Graph based feature selection investigating boundary region of rough set for language identification. Expert Syst. Appl. 158: 113575 (2020) - [j18]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) - [j17]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) - [j16]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) - [j15]Priyanka Das
, Asit Kumar Das, Janmenjoy Nayak:
Feature selection generating directed rough-spanning tree for crime pattern analysis. Neural Comput. Appl. 32(12): 7623-7639 (2020) - [j14]Priyanka Das
, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi:
A framework for crime data analysis using relationship among named entities. Neural Comput. Appl. 32(12): 7671-7689 (2020) - [j13]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) - [j12]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) - [j11]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) - 2019
- [j10]Priyanka Das
, Asit Kumar Das, Janmenjoy Nayak
, Danilo Pelusi
, Weiping Ding:
A Graph Based Clustering Approach for Relation Extraction From Crime Data. IEEE Access 7: 101269-101282 (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) - 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)
Conference and Workshop Papers
- 2017
- [c3]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 - 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
Parts in Books or Collections
- 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
Coauthor Index
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