default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJanmenjoy Nayak
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j59]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)- [j58]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) - [j57]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) - [j56]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) - [j55]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
- [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) - [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
- 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) - [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 - 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
- [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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
