Janmenjoy Nayak

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 61

Top Topics

Gradient Boosting

Top Venues

Neural Comput. Appl.

Expert Syst. 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)
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) (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)
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) (2023)
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) (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)
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) (2022)
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)
Sathyanarayanan Gopalakrishnan, Supriya Sridharan, Soumya Ranjan Nayak, Janmenjoy Nayak, Swaminathan Venkataraman
Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI. Pattern Recognit. Lett. 153 (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)
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) (2022)
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 (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)
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) (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)
Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera, Soumya Ranjan Nayak, Janmenjoy Nayak, Shanmuganathan Vimal, Seifidine Kadry
License plate recognition using neural architecture search for edge devices. Int. J. Intell. Syst. 37 (12) (2022)
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)
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)
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) (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)
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 (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)
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 (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)
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 (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)
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 (2021)
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)
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 (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)
Priyanka Das, Asit Kumar Das, Janmenjoy Nayak
Feature selection generating directed rough-spanning tree for crime pattern analysis. Neural Comput. Appl. 32 (12) (2020)
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) (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)
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 (2019)
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)
Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera
GA Based Polynomial Neural Network for Data Classification. ICIT (2014)