Janmenjoy Nayak

Orcid: 0000-0002-9746-6557

According to our database1, Janmenjoy Nayak authored at least 63 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A deep intelligent framework for software risk prediction using improved firefly optimization.
Neural Comput. Appl., September, 2023

Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem.
Axioms, April, 2023

Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework.
Neural Comput. Appl., March, 2023

Special issue on machine learning for security and privacy: advancing the state-of-the-art applications.
Neural Comput. Appl., March, 2023

Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network.
Digit. Commun. Networks, February, 2023

2022
License plate recognition using neural architecture search for edge devices.
Int. J. Intell. Syst., December, 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

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images.
IEEE Trans. Fuzzy Syst., 2022

Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework.
Sustain. Comput. Informatics Syst., 2022

DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue.
IEEE Syst. J., 2022

Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI.
Pattern Recognit. Lett., 2022

Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system.
Netw. Model. Anal. Health Informatics Bioinform., 2022

A pragmatic ensemble learning approach for effective software effort estimation.
Innov. Syst. Softw. Eng., 2022

Multi-class Skin Disease Classification Using Transfer Learning Model.
Int. J. Artif. Intell. Tools, 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 ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite.
Expert Syst. J. Knowl. Eng., 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

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions.
IEEE Access, 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

Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization.
Inf. Sci., 2021

Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data.
Neurocomputing, 2021

Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization.
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

Nature inspired optimization and its application to engineering.
Evol. Intell., 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

Industrial Internet of Things and its Applications in Industry 4.0: State of The Art.
Comput. Commun., 2021

Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition.
Appl. Soft Comput., 2021

Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms.
Appl. Soft Comput., 2021

Intelligent system for COVID-19 prognosis: a state-of-the-art survey.
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

Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges.
SN Comput. Sci., 2020

Model based IoT security framework using multiclass adaptive boosting with SMOTE.
Secur. Priv., 2020

Special issue on "Soft computing techniques: applications and challenges" neural computing and applications.
Neural Comput. Appl., 2020

A framework for crime data analysis using relationship among named entities.
Neural Comput. Appl., 2020

Feature selection generating directed rough-spanning tree for crime pattern analysis.
Neural Comput. Appl., 2020

Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm.
Knowl. Based Syst., 2020

An Improved Moth-Flame Optimization algorithm with hybrid search phase.
Knowl. Based Syst., 2020

Graph based feature selection investigating boundary region of rough set for language identification.
Expert Syst. Appl., 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

2019
A Graph Based Clustering Approach for Relation Extraction From Crime Data.
IEEE Access, 2019

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

FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification.
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

GA Based Polynomial Neural Network for Data Classification.
Proceedings of the 2014 International Conference on Information Technology, 2014


  Loading...