Publications

  • All
  • Books
  • International Journals
  • NAtional Journals
  • Book Chapters
  • INTERNATIONAL CONFERENCES
  • NATIONAL CONFERENCES
  • EDITED BOOKS

List of publications:
Total: 158 (International:  143, National: 15)
SCI Indexed: 54
SCOPUS Indexed: 111
UGC Listed: 111
Avg impact factor(2020): 5.36



  • H.S. Behera, Janmenjoy Nayak, H. Pattnayak, A text book on “Formal Languages and Automata Theory”, Vikash Publications, Pvt. Ltd., India, ISBN No: 9789325978591, 2014.   View

  • Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, Alireza Souri, S. Vimal (2021) “Hyper-parameter tuned Light Gradient Boosting Machine using Memetic Firefly Algorithm for Hand Gesture Recognition”, Applied Soft Computing, Elsevier, Vol. 107, 107478. [Impact Factor : 6.725, SCIE, SCOPUS]

  • Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Manohar Mishra (2021), “Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment”, IEEE Transactions on Industrial Informatics, ISSN No : 1551-3203. Vol. 17, Issue 6, pp. 4298 - 4307 [Impact Factor : 10.215, SCI, SCOPUS]

  • Janmenjoy Nayak, Manohar Mishra, Bighnaraj Naik, H. Swapnarekha, Korhan Cengiz, S. Vimal(2021) “An Impact study of COVID-19 on Six Different Industries: Automobile, Energy & Power, Agriculture, Education, Travel & Tourism and Consumer Electronics”, Expert System, Wiley DOI: https://doi.org/10.1111/exsy.12677 [Impact Factor : 2.587, SCI, SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding, Danilo Pelusi (2021) “Intelligent System for Covid-19 Prognosis: A State-of-the-Art Survey”, Applied Intelligence, Springer, DOI: https://doi.org/10.1007/s10489-020-02102-7 [Impact Factor : 5.086, SCI, SCOPUS]

  • Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi (2021), “Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data”, Neurocomputing, ELSEVIER, Vol. 457,pp. 40-66 [Impact Factor : 5.719, SCI, SCOPUS]

  • S. Gopalakrishnan, S. Sridharan, S. R. Nayak, Janmenjoy Nayak, S. Vimal, S. Venkataraman (2021) “Central hubs prediction for Bio Networks by Directed Hypergraph-GA with validation to COVID-19 PPI”, Pattern Recognition Letters, Elsevier, DOI: https://doi.org/10.1016/j.patrec.2021.12.015[Impact Factor : 3.756, SCIE, SCOPUS]

  • Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal (2021) “Socio-economic Factor Analysis for Sustainable and Smart Precision Agriculture: An Ensemble Learning Approach”, Computer Communications, Elsevier, (In Press) [Impact Factor : 3.167, SCI, SCOPUS]

  • Soumya Ranjan Nayak, Janmenjoy Nayak,*, S. Vimal, Utkarsh Sinha, Vaibhav Arora (2021) “An Ensemble AI-Enabled MIoT for Automated Diagnosis of Malaria Parasite”, Expert System, Wiley, DOI: https://doi.org/10.1111/exsy.12906 [Impact Factor : 2.587, SCI, SCOPUS]

  • Santisudha Panigrahi, Ruchi Bhuyan, Kundan Kumar, Janmenjoy Nayak*, Tripti Swarnkar (2021), “Multistage classification of oral histopathological images using improved residual network”, Mathematical Biosciences and Engineering (In Press). [Impact Factor : 2.080, SCIE, SCOPUS]

  • Rasmi Ranjan Panigrahi, Manohar Mishra, Janmenjoy Nayak, Vimal Shanmuganathan, Bighnaraj Naik, Young-Ae Jung (2021), “A Power quality detection and classification algorithm Based on FDST and Hyper- parameter tuned LightGBM using Memetic Firefly Algorithm”, Measurement, Elsevier, ISSN: 0263-2241, [In Press] [Impact Factor : 3.927, SCI, SCOPUS]

  • Manoj Diwakar, Prabhishek Singh, Achyut Shankar, S. R. Nayak, Janmenjoy Nayak, S. Vimal, Ravinder Singh, Dilip Sisodia(2021) “Directive Clustering Contrast based Multi-Modality Medical Image Fusion for Smart Healthcare System”, Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, [In press] [SCOPUS]

  • H Swapnarekha, HS Behera, Janmenjoy Nayak, B Naik, PS Kumar (2021),“Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India”, SN Computer Science, Springer, Vol 2 (5),pp. 1-15.

  • Ankur Das, Janmenjoy Nayak, Bighnaraj Naik, Uttam Ghosh(2021),“Generation of overlapping clusters constructing suitable graph for crime report analysis”, Future Generation Computer Systems, Elsevier, Volume 118, May 2021, pp. 339-357. [Impact Factor : 7.187, SCI, SCOPUS]

  • Etuari Oram, Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal, Sathees Kumar Nataraj(2021) “Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs”, Pattern Recognition Letters, Elsevier, DOI: 10.1016/j.patrec.2021.09.018, [Impact Factor : 3.756, SCIE, SCOPUS]

  • D. Karun Reddy, H.S. Behera, Janmenjoy Nayak, Bighnaraj Naik, Pradip kumar Sharma (2021) “Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment”, Journal of Information Security and Applications, Elsevier, Vol. 60, 102866, pp. 1-35 [Impact Factor : 3.872, SCIE, SCOPUS]

  • 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 Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2021.3097806 [Impact Factor : 12.029, SCIE, SCOPUS]

  • Yasmin, G., Chowdhury, S., Janmenjoy Nayak, & Asit Kumar Das (2021), “Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework”, Neural Computing and Applications, Springer, DOI: 10.1007/s00521-021-06132-1[Impact Factor : 5.606, SCI, SCOPUS]

  • Manohar Mishra , Bhaskar Patnaik, Ramesh C. Bansal , Raj Naidoo , Bignaraj Naik, Member, and Janmenjoy Nayak, “DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue”, IEEE System Journal, [In press] [Impact Factor : 3.931, SCIE, SCOPUS]

  • Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera, Soumya Ranjan Nayak, Janmenjoy Nayak, S.Vimal, Seifidine Kadry, “License Plate Recognition Using Neural Architecture Search for Edge Devices”, International Journal of Intelligent Systems, Wiley, [In press] [Impact Factor : 8.709, SCIE, SCOPUS]

  • Meenu Garg, Sheifali Gupta, Soumya Ranjan Nayak, Janmenjoy Nayak, Danilo Pelusi (2021) “Modified Pixel Level Snake using Bottom Hat Transformation for Evolution of Retinal Vasculature Map”, Mathematical Biosciences and Engineering, Vol. 18, Issue 5, pp. 5737-5757. [Impact Factor : 2.080, SCIE, SCOPUS]

  • P Suresh Kumar, H.S Behera, Janmenjoy Nayak, Bighnaraj Naik (2021) “Bootstrap Aggregation Ensemble Learning based Reliable approach for Software Defect Prediction by using Characterized Code Feature”, Innovations in Systems and Software Engineering, Springer, [Accepted in Press] [SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak*, Pandit Byomakesha Dash(2021) “Higher Order ANN Parameter Optimization using Hybrid Opposition-Elitism based Metaheuristic”, Evolutionary Intelligence, Springer, DOI: 10.1007/s12065-021-00610-0 [SCOPUS]

  • Chirantana Mallick, Asit Kumar Das, Weiping Ding, Janmenjoy Nayak (2021) “Ensemble Summarization of Bio-medical Articles integrating Clustering and multi-objective Evolutionary Algorithms”, Applied Soft Computing, Elsevier, Vol 106, DOI: 10.1016/j.asoc.2021.107347 [Impact Factor : 6.725, SCIE, SCOPUS]

  • H. Swapnarekha*, Himansu Sekhar Behera, Debanik Roy, Sunanda Das, Janmenjoy Nayak (2021), “Competitive Deep Learning Methods for COVID-19 Detection Using X-ray Images”, Journal of The Institution of Engineers (India): Series B, Springer, DOI: 10.1007/s40031-021-00589-3 [SCOPUS]

  • Soumya Ranjan Nayak, Janmenjoy Nayak,*, Utkarsh Sinha, Vaibhav Arora, Uttam Ghosh, Suresh Chandra Satapathy(2021) “An Automated Light Weight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images”, Arabian Journal for Science and Engineering, Springer, [Accepted in Press] [Impact Factor : 2.334, SCI, SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, Pandit Byomakesha Dash, Danilo Pelusi “Significance of deep learning for Covid-19: state-of-the-art review”, Research on Biomedical Engineering, Springer, DOI: https://doi.org/10.1007/s42600-021-00135-6[SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, Danilo Pelusi(2021), “Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis”, International Journal of Applied Metaheuristic Computing (IJAMC), IGI-Global, Vol. 12(2), pp. 1-15. [WOS,ESCI, SCOPUS]

  • Dayal Kumar Behera, Madhabananda Das, Subhra Swetanisha, Janmenjoy Nayak, S. Vimal, Bighnaraj Naik (2021),"Follower Link Prediction using the XGBoost Classification Model with Multiple Graph Features", Wireless Personal Communications, Springer, DOI: 10.1007/s11277-021-08399-y [Impact Factor : 1.671, SCIE, SCOPUS]

  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding (2021) “Incremental Classifier in Crime Prediction using bi-objective Particle Swarm Optimization”, Information Science, Elsevier, Volume 562, July 2021, pp. 279-303 [Impact Factor : 6.795, SCI, SCOPUS]

  • Subhashree Mohapatra, Janmenjoy Nayak, Manohar Mishra, Girish Kumar Pati, Bignaraj Naik, Tripti Swarnkar (2021) “Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease Detection”, Interdisciplinary Sciences: Computational Life Sciences, Springer, Vol. 13(2), pp. 212-228 [Impact Factor : 2.233, SCI, SCOPUS]

  • Pandit Byomakesha Dash, Bighnaraj Naik, Janmenjoy Nayak, S. Vimal (2021), “Deep Belief Network Based Probabilistic Generative Model for Detection of Robotic Manipulator Failure Execution”, Soft Computing, Springer, DOI: https://doi.org/10.1007/s00500-021-05572-0 [Impact Factor : 3.643, SCI, SCOPUS]

  • Chirantana Mallick, Asit Kumar Das, Janmenjoy Nayak, S. Vimal(2021) “Evolutionary Algorithm based Ensemble Extractive Summarization for Developing Smart Medical System”, Interdisciplinary Sciences: Computational Life Sciences, Springer, DOI: https://doi.org/10.1007/s12539-020-00412-5 [Impact Factor : 2.233, SCI, SCOPUS]

  • H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik (2021) “CovidCT-net: A Deep Learning Framework for COVID-19 prognosis using CT images”, Journal of Interdisciplinary Mathematics, Taylor Francis, DOI: 10.1080/09720502.2020.1857905 [ESCI, SCOPUS]

  • Praveen Kumar Malik, Rohit Sharma, Rajesh Singh, Anita Gehlot, Suresh Chandra Satapathy, Waleed S. Alnumay, Danilo Pelusi, Uttam Ghosh, Janmenjoy Nayak(2021), “Industrial Internet of Things and its applications in industry 4.0: State of the art”, Computer Communications, Elsevier, Volume 166, 15 January 2021, pp. 125-139 [Impact Factor : 3.167, SCI, SCOPUS]

  • Debasmita Mishra, Bighnaraj Naik, Pandit Byomakesha Dash, Janmenjoy Nayak (2021), “SEM: Stacking Ensemble Meta-learning for IOT Security Framework”, Arabian Journal for Science and Engineering, Springer, Vol. 46, pp. 3531–3548 [Impact Factor : 2.334, SCI, SCOPUS]

  • P. Suresh Kumar, H.S. Behera, Janmenjoy Nayak , Bighnaraj Naik, (2021) “A Pragmatic Ensemble Learning Approach for Effective Software Effort Estimation”, Innovations in Systems and Software Engineering-NASA Journal, Springer, DOI: https://doi.org/10.1007/s11334-020-00379-y [SCOPUS]

  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding (2021), “Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization”, Neurocomputing, ELSEVIER, Vol. 459, pp. 465-480 [Impact Factor : 5.719, SCI, SCOPUS]

  • T. PanduRanga Vital, Janmenjoy Nayak, Bighnaraj Naik, D. Jayaram(2021), “Probabilistic Neural Network based Model for Identification of Parkinson‚s Disease by using Voice Profile and Personal Data”, Arabian Journal for Science and Engineering, Springer, Vol. 46, pp. 3383–3407 [Impact Factor : 2.334, SCI, SCOPUS]

  • Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham (2020) “Deep learning in electrical utility industry: A comprehensive review of a decade of research”, Engineering Applications of Artificial Intelligence, Elsevier, 96 (2020) 104000, pp. 1-32 [Impact Factor : 6.212, SCI, SCOPUS]

  • Janmenjoy Nayak, K Vakula, P Dinesh, B Naik, D Pelusi (2020)“Intelligent food processing: Journey from artificial neural network to deep learning” Computer Science Review, Elsevier, Vol. 38, pp. 1-32 [Impact Factor : 7.707, SCI, SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, Pandit Byomakesha Dash(2020) “Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges” SN COMPUT. SCI. 1, 311, Springer , DOI: https://doi.org/10.1007/s42979-020-00320-x [DBLP]

  • D. Karun Reddy, H.S. Behera, Janmenjoy Nayak, Pandi Vijayakumar, Bighnaraj Naik, Pradeep Singh (2020)“Deep Neural Network based Anomaly Detection in IoT Network Traffic Tracking for the Applications of Future Smart Cities”, Transactions on Emerging Telecommunications Technologies, Wiley, DOI: https://doi.org/10.1002/ett.4121 [Impact Factor : 2.638, SCI, SCOPUS]

  • P. Suresh Kumar, H.S. Behera, Anisha Kumari K, Janmenjoy Nayak , Bighnaraj Naik, (2020)“Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades”, Computer Science Review, Elsevier, Vol. 38, pp. 1-32, [Impact Factor : 7.707, SCI, SCOPUS]

  • Manohar Mishra, Pandit Byomakesha Dash, Janmenjoy Nayak, Bighnaraj Naik, Subrat Kumar Swain, (2020), “Deep learning and wavelet transform integrated approach for short-term solar PV power prediction”, Measurement, Elsevier, ISSN: 0263-2241, Volume 166, 108250, pp. 1-32 [Impact Factor : 3.927, SCI, SCOPUS]

  • Bighnaraj Naik, Pandit Byomakesha Dash, Janmenjoy Nayak(2020), “Extra-tree learning based Socio-economic factor analysis and multi-class adaptive boosting meta-estimator for prediction of agricultural productivity”, Indian Journal of Science and Technology(IJST), ISSN : 0974-6846, Vol. 13, Issue 29, pp. 2981-3001 [SCI, WOS]

  • H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, (2020), “Role of Intelligent Computing in COVID-19 Prognosis: A State-of-the-Art Review”, Chaos, Solitons & Fractals, Elsevier, Vol. 138, pp. 1-15, ISSN: 0960-0779, [Impact Factor : 5.944, SCI, SCOPUS]

  • Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding, (2020), “Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification”, Expert Systems with Applications, ELSEVIER, Vol. 158, 113575 [Impact Factor : 6.954, SCIE, SCOPUS]

  • Pandit Byomakesha Dash, Janmenjoy Nayak*, Bighnaraj Naik, Etuari Oram, SK Hafizul Islam (2020),“Model based IoT Security Framework using Multi-class Adaptive Boosting with SMOTE”, Security and Privacy, Wiley, DOI: https://doi.org/10.1002/spy2.112.

  • Dayal Kumar Behera, Madhabananda Das, Subhra Swetanisha, Janmenjoy Nayak, (2020), “XGBoost Regression Model Based Electricity Tariff Plan Recommendation in Smart Grid Environment”, International Journal of Innovative Computing and Applications, INDERSCIENCE, [SCOPUS].

  • Bighnaraj Naik, Mohammad S. Obaidat, Janmenjoy Nayak, Danilo Pelusi, Pandi Vijayakumar, SK Hafizul Islam, (2020), “ Intelligent Secure Ecosystem based on Meta-heuristic and Functional Link Neural Network for Edge-of-Things”, IEEE Transactions on Industrial Informatics, Vol. 16, No. 3, pp. 1947-1956, ISSN No: 1551-3203. [Impact Factor : 10.215, SCI, SCOPUS]

  • Danilo Pelusi, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng (2020), “An Improved Moth-Flame Optimization algorithm with hybrid search phase”, Knowledge-Based Systems, ELSEVIER, Vol. 191,pp.1-14. [Impact Factor : 8.038, SCI, SCOPUS]

  • Danilo Pelusi, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng (2019), “Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm”, Knowledge-Based Systems, ELSEVIER, Vol. 193,pp. 1-13 [Impact Factor : 8.038, SCI, SCOPUS]

  • P. Das, A. K. Das, Janmenjoy Nayak, D. Pelusi and W. Ding., (2019), "A Graph based Clustering Approach for Relation Extraction from Crime Data," in IEEE Access, Vol. 7, Issue 1, pp. 101269-101282, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2929597. [Impact Factor : 3.367, SCIE, SCOPUS]

  • B. Saritha, Janmenjoy Nayak(2019) “Aspect Based Sentiment Analysis using Naïve Bayes and Support Vector Classifiers ”, The International Journal of Analytical and Experimental Modal Analysis, Vol. XI, Issue VIII, pp. 336-344., ISSN NO: 0886-9367 [IJAEMA-UGC-CARE APPROVED GROUP-A JOURNAL, Serial No. 36272]

  • Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh & Bighnaraj Naik (2019), “Spider Monkey Optimization: State-of-the Art and Advances”, International Journal of Swarm Intelligence (IJSI), INDERSCIENCE, Vol. 4, No. 2, pp. 175-198 [UGC Listed Journal No : 43415]

  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, & D. Pelusi (2019), “A framework for crime data analysis using relationship among named entities”, Neural Computing and Applications, SPRINGER, 1-19, Vol. 32, pp. 7671–7689 [Impact Factor : 5.606, SCI, SCOPUS]

  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak (2019), “Feature selection generating directed rough-spanning tree for crime pattern analysis”, Neural Computing and Applications, SPRINGER, Vol. 32, pp. 7623–7639 [Impact Factor : 5.606, SCI, SCOPUS]

  • Danilo Pelusi, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, (2018), “Neural Network and Fuzzy System for the tuning of Gravitational Search Algorithm parameters”, Expert Systems With Applications, ELSEVIER, Vol. 102, pp. 234-244. [Impact Factor : 6.954, SCI, SCOPUS]

  • Janmenjoy Nayak, B., Naik, H. S., Behera, A., Abraham (2018) “Elitist Teaching Learning Based Optimization (ETLBO) with Higher order Jordan Pi-sigma neural network: A Comparative Performance Analysis”, Neural Computing and Applications, SPRINGER, Vol. 30, Issue. 5, pp. 1445-1468 [Impact Factor : 5.606, SCI, SCOPUS]

  • Janmenjoy Nayak, B., Naik (2018), “A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification”, Journal of Classification, SPRINGER, Vol. 35, pp. 511-548 [Impact Factor : 1.673, SCI, SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak and H.S. Behera(2018) “FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI-Global, Vol. 5(1), pp. 13–33. [UGC Listed Journal No : 48803][ACM, DBLP]

  • D. Neelima, Janmenjoy Nayak, R. Krishnara(September 2018), “An Efficient Approach of Hiding Sensitive Association Rules”, International Journal of Scientific Research in Computer Science Applications and Management Studies (IJSRCSAMS), Vol. 7, Issue 5, pp. 1-6. [UGC Listed Journal No : 63611].

  • Bighnaraj Naik, Janmenjoy Nayak, H.S. Behera, A. Abraham(2017), “An improved harmony search-based functional link higher order ANN for nonlinear data classification”, International Journal of Intelligent Systems Design and Computing, INDERSCIENCE, Vol. 1, No. 3/4, pp. 286-317. [UGC Listed Journal No : 47744]

  • Janmenjoy Nayak, B., Naik, H. S., Behera, A., Abraham (2017), “Hybrid Chemical Reaction based Metaheuristic with Fuzzy c-means Algorithm for Optimal Cluster Analysis”, Expert Systems With Applications, ELSEVIER, Vol. 79 , pp. 282–295 [Impact Factor : 6.954, SCI, SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera (2016) “Solving nonlinear Classification Problems with Black Hole Optimization and Higher Order Jordan Pi-sigma Neural Network: A Novel Approach”, International Journal of Computational System Engineering, INDERSCIENCE, Vol. 2, No. 4,pp. 236-251, 2016. [UGC Listed Journal]

  • Janmenjoy Nayak, Bighnaraj Naik, D. P., Kanungo, H. S. Behera (2016) “A Hybrid Elicit Teaching Learning based Optimization with Fuzzy c-means (ETLBO-FCM) Algorithm for Data Clustering”, Ain Shams Engineering Journal, ELSEVIER, Vol. 9, No. 3, pp. 379-393 [Impact Factor: 3.18, SCIE, SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak and H.S. Behera (2016), “A self adaptive harmony search based functional link higher order ANN for non-linear data classification”, Neurocomputing, ELSEVIER, Vol. 179, 29 February 2016, pp. 69-87. [Impact Factor: 5.719, SCI, SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak and H.S. Behera (2018), “A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data”, Journal of King Saud University - Computer and Information Sciences, ELSEVIER, Vol. 30, Issue 1, January 2018, pp. 120-139. [Impact Factor: 13.473, ESCI, SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak, H. S. Behera (2016) “An efficient FLANN Model with CRO based Gradient Descent Learning for Classification”, International Journal of Business Information Systems, INDERSCIENCE, 2016, Vol.21, No.1, pp.73 – 116. [SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera. (2016) “A novel nature inspired firefly algorithm with higher order neural network: Performance analysis”, Engineering Science and Technology, an International Journal, ELSEVIER, Vol. 19, No. 1, March 2016, pp. 197-211. [Impact Factor: 4.36,SCIE, SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak, H.S. Behera(2016), “A Global-best Harmony Search based Gradient Descent Learning FLANN (GbHS-GDL-FLANN) for Data Classification”, Egyptian Informatics Journal, ELSEVIER. Vol. 17, Issue 1, March 2016, pp. 57-87. [Impact Factor: 3.943,SCIE, SCOPUS]

  • D. P., Kanungo, Janmenjoy Nayak, Bighnaraj Naik, H. S., Behera, (2016) “Hybrid Clustering using Elitist Teaching Learning based Optimization- An Improved Hybrid Approach of TLBO”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI-Global, Vol. 3(1), pp. 1-19. [UGC Listed Journal No : 48803][ACM, DBLP]

  • H. S. Behera, Janmenjoy Nayak, M., Nanda, K., Nayak, (2015) “A Novel Hybrid Approach for Real World Data Clustering Algorithm based on Fuzzy C-means and Firefly Algorithm (FCM-FA)”, International Journal of Fuzzy Computation and Modelling, INDERSCIENCE, Vol. 1(4), pp. 431-448. [UGC Listed Journal]

  • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera. (2015) "A novel Chemical Reaction Optimization based Higher Order Neural Network (CRO-HONN) for nonlinear classification." Ain Shams Engineering Journal, ELSEVIER, Vol. 6, Issue 3, September 2015, pp. 1069-1091. [Impact Factor: 3.18, SCIE, SCOPUS]

  • H S Behera, M Nanda, K Nayak, Janmenjoy Nayak. (2015) “A Hybrid Fuzzy Firefly based Evolutionary Radial Basis Functional Network for Classification “, International Journal of Information Processing, IK International Publishing, Vol. 9 (3),pp. 76-91, 2015, ISSN: 0973–8215. [UGC Listed Journal No : 22945]

  • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera. (2015) "A Comprehensive Survey on Support Vector Machine in Data Mining Tasks: Applications & Challenges." International Journal of Database Theory and Application, SERSC Publishing, Republic of Korea, Vol. 8(1): 169-186. [SCOPUS]

  • Janmenjoy Nayak, Ashanta Ranjan Routray, Hadibandhu Pattnayak (2012) “Integration of Soft Computing Tools in Data Mining: A Unified Approach”, International Journal of Computer Science and Management Research, pp. 8-15, ISSN 2278-733X.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary, (2011) “Classification of Trees by Pattern Recognition”, International Journal of Computer Applications, ISSN: 0975-8887, Vol. 19, No. 3, pp. 10-14.

  • Janmenjoy Nayak, Ansuman Acharya, Hadibandhu Pattnayak, (2012) “A Statistical Model for Capacity Planning Problems”, North Orissa University Journal of Science & Technology, Vol. 1, pp. 26-32.

  • D. K.K. Reddy, Janmenjoy Nayak, Bighnaraj Naik, and G. M. Sai Pratyusha “Deep Neural Network–Based Security Model for IoT Device Network”, Deep Learning for Internet of Things Infrastructure, CRC Press, Taylor & Francis, ISBN: 9780367457334, pp. 224-242.

  • Janmenjoy Nayak, P Suresh Kumar, Dukka Karun Kumar Reddy, Bighnaraj Naik, Danilo Pelusi (2021) “Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges”, Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach, Scrivenger publishing, Wiley, ISBN: 9781119711285, pp.49-92.

  • Rekha, H. Swapna, Janmenjoy Nayak, G. T. Chandra Sekhar, Danilo Pelusi (2021),”Impact of IoT in Healthcare: Improvements and Challenges”, The Digitalization Conundrum in India, India Studies in Business and Economics book series (ISBE), Springer, ISBN: 978-981-15-6906-7, pp. 73-107, DOI: https://doi.org/10.1007/978-981-15-6907-4_5.

  • Janmenjoy Nayak, Kumar, P. S., Reddy, D. K. K., & Naik, B.(2021), “Identification and classification of hepatitis C virus: an advance machine-learning-based approach”, Blockchain and Machine Learning for E-Healthcare Systems, IET, ISBN: 9781839531156, Vol. 393, DOI : 10.1049/PBHE029 [SCOPUS]

  • Rekha, H. Swapna, Janmenjoy Nayak, and Bighnaraj Naik (2020), "Impact of IoT in agriculture: advances and challenges." Internet of Things, Walter de Gruyter, Vol. 127,pp. 126-147, ISBN: 9783110677737, DOI:10.1515/9783110628517.006.

  • Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, A. Vamsi Krishna (2019), “A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks”, Nature-Inspired Computation in Data Mining and Machine Learning, Studies in Computational Intelligence book series, Springer International Publishing, pp.137-159, ISBN: Vol 855, 978-3-030-28552-4. [SCOPUS]

  • Janmenjoy Nayak, Kanithi Vakula, Pandit Byomakesha Dash & Bighnaraj Naik (2018), “Kidney-Inspired Algorithm and Fuzzy Clustering for Biomedical Data Analysis”, Advances in Ubiquitous Sensing Applications for Healthcare, Big Data Analytics for Intelligent Healthcare Management, Elsevier, pp. 269-281, vol. 3, ISBN: 978-0-12-818146-1..

  • Janmenjoy Nayak, Bighnaraj Naik, A. K Jena, Rabindra K. Barik & Himansu Das (2018), “Nature Inspired Optimizations in Cloud Computing: Applications and Challenges”, Cloud Computing for Optimization: Foundations, Applications, and Challenges, Studies in Big Data, Volume 39, Springer International Publishing, pp 1-26, DOI : https://doi.org/10.1007/978-3-319-73676-1_1.

  • Bighnaraj Naik, Janmenjoy Nayak & H. S. Behera(2016), “A Hybrid Model of FLANN and Firefly Algorithm for Classification: Swarm Intelligence based Higher Order Neural Network Model for Supervised Machine Learning”, Book Title : Handbook of Research on Natural Computing for Optimization Problems, Series Title : Advances in Computational Intelligence and Robotics (ACIR), IGI-Global, pp 491-522. DOI: 10.4018/978-1-5225-0058-2.ch021, ISBN : 9781522500582.

  • Bighnaraj, Naik, Janmenjoy Nayak, H. S. Behera. (2015), "A Honey Bee Mating Optimization Based Gradient Descent Learning–FLANN (HBMO-GDL-FLANN) for Classification", Book Title : Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2, Series Title : Advances in Intelligent Systems and Computing(AISC Series), Organizer : JNTU Hyderabad, Dt. : 12-14 December 2014, Springer International Publishing, Vol. 338,pp. 211-220, ISBN : 978-3-319-13730-8. [SCOPUS]

  • Bighnaraj, Naik, Janmenjoy Nayak, H. S. Behera. (2014) "A Novel FLANN with a hybrid PSO and GA based gradient descent learning for classification." Book Title : Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), Series Title : Advances in Intelligent Systems and Computing(AISC Series), Organizer : BEC, Bhubaneswar, Dt. : 14th-15th November 2014, Springer International Publishing, Vol. 327, pp. 745-754, ISBN : 978-3-319-11932-8. [SCOPUS]

  • Janmenjoy Nayak, M., Nanda, K., Nayak, B., Naik, H. S. Behera, (2014), “An improved firefly fuzzy c-means (FAFCM) Algorithm for clustering real world data sets”, Book Title : Advanced Computing, Networking and Informatics-Volume 1, Series Title : Smart Innovation, Systems and Technologies (SIST series), Organizer : St. Thomas Engineering College, Kolkata, Dt. : 24-26 June 2014, Springer International Publishing, Vol. 27, pp. 339-348, ISBN : 978-3-319-07352-1. [SCOPUS]

  • Saumendra Das, Janmenjoy Nayak, B. Kamesh Rao, Kanithi Vakula, Ashanta Ranjan Routray (2021), “Gold Price Forecasting Using Machine Learning Techniques: Review of a Decade”, In 3rd International Conference on Computational Intelligence in Pattern Recognition, Date: 24-25 April 2021, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 1349, pp. 679-695. Springer, Singapore. [SCOPUS]

  • H. Swapnarekha, H S Behera, Janmenjoy Nayak, Bighnaraj Naik(2021), “Deep DenseNet and ResNet Approach for COVID-19 Prognosis: Experiments on Real CT Images”, In 3rd International Conference on Computational Intelligence in Pattern Recognition, Date: 24-25 April 2021, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 1349, pp. 731-747. Springer, Singapore [SCOPUS]

  • P. S. Kumar, A. K. K, S. Mohapatra, B. Naik, Janmenjoy Nayak and M. Mishra, (2021) "CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages," 2021 1st IEEE Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON), date: 08th & 09th January 2021, pp. 1-6, doi: 10.1109/ODICON50556.2021.9428943[SCOPUS]. [SCOPUS]

  • B. Kameswara Rao, P. Suresh Kumar, Dukka Karun Kumar Reddy, Janmenjoy Nayak, Bighnaraj Naik(2021), “QCM Sensor-Based Alcohol Classification by Advance Machine Learning Approach”, In 1st International Conference on Intelligent Computing in Control and Communication, Date: 07 and 08 August 2020, Lecture Notes in Electrical Engineering, Vol 702, pp. 305-320, Springer, Singapore[SCOPUS] [SCOPUS]

  • H. Swapna Rekha, H. S. Behera, Janmenjoy Nayak, Bighnaraj Naik (2021), “Deep Learning for COVID-19 Prognosis: A Systematic Review”, In 1st International Conference on Intelligent Computing in Control and Communication, Date: 07 and 08 August 2020, Lecture Notes in Electrical Engineering, Vol 702, pp. 667-687, Springer, Singapore[SCOPUS]. [SCOPUS]

  • Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik, Subhashree Mohapatra, Tripti Swarnkar, Manohar Mishra(2020),“Intelligent Computing in IoT-Enabled Smart Cities: A Systematic Review”, In 1st International Conference on Green Technology for Smart City and Society, Date: 13 and 14 August 2020, Lecture Notes in Networks and Systems, Vol 151, pp. 1-21, Springer, Singapore[SCOPUS][SCOPUS]

  • Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik, Manohar Mishra (2020), “Ant Colony Optimization in Data Mining: Critical Perspective from 2015 to 2020” In 1st International Conference on Innovation in Electrical Power Engineering, Communication, and Computing Technology. Date: 13th and 14thDecember, 2019, Organizer: ITER, Place: Bhubaneswar, Published by : Lecture Notes in Electrical Engineering(LNEE Series), Vol 630, pp. 361-374. Springer, Singapore. [SCOPUS]

  • H. Swapna Rekha, Janmenjoy Nayak, H. S. Behera (2020), “Pi-Sigma Neural Network: Survey of a Decade Progress”, In 2nd International Conference on Computational Intelligence in Pattern Recognition, Date: 04-05 January 2020, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 1120, pp. 429-441. Springer, Singapore. [SCOPUS]

  • Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik (2020) “Moth Flame Optimization: Developments and Challenges up to 2020”, In 2nd International Conference on Computational Intelligence in Pattern Recognition, Date : 04-05 January 2020, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 1120, pp. 465-488. Springer, Singapore. [SCOPUS]

  • Debasmita Mishra, Bighnaraj Naik, Ronali Madhusmita Sahoo, Janmenjoy Nayak(2020) “Deep Recurrent Neural Network (Deep-RNN) for Classification of Nonlinear Data”, In 2nd International Conference on Computational Intelligence in Pattern Recognition, Date : 04-05 January 2020, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 1120, pp. 207-215. Springer, Singapore. [SCOPUS]

  • Janmenjoy Nayak, Vakula, K., Dinesh, P., & Naik, B.(2019)“ Significance of Particle Swarm Optimization in Intrusion Detection: Crossing a Decade”, In International Conference on Application of Robotics in Industry using Advanced Mechanisms, Date : 16-17 August 2019, Organizer : GIFT, Place: Bhubaneswar, Published by : Learning and Analytics in Intelligent Systems (LAIS) book series, Vol. 5, pp. 187-202, Springer, Switzerland. [SCOPUS]

  • Priyanka, D., Janmenjoy Nayak (2019) “Empirical Analysis of Absenteeism at Work Place Using Machine Learning”, In International Conference on Application of Robotics in Industry using Advanced Mechanisms, Date : 16-17 August 2019, Organizer : GIFT, Place: Bhubaneswar, Published by : Learning and Analytics in Intelligent Systems (LAIS) book series, Vol. 5, pp. 150-160, Springer, Switzerland. [SCOPUS]

  • Swapna Rekha, H., Janmenjoy Nayak,Naik, B, Danilo Pelusi (2019) “Soft Computing in Robotics: A Decade Perspective”, In International Conference on Application of Robotics in Industry using Advanced Mechanisms, Date : 16-17 August 2019, Organizer : GIFT, Place: Bhubaneswar, Published by : Learning and Analytics in Intelligent Systems (LAIS) book series, Vol. 5, pp. 59-78, Springer, Switzerland. [SCOPUS]

  • Janmenjoy Nayak, Vakula, K., Dinesh, P., & Naik, B. (2020). “Applications and Advancements of Firefly Algorithm in Classification: An Analytical Perspective”. In 1st International Conference on Computational Intelligence in Pattern Recognition, Date : 19-20 January 2019, Organizer: IIEST, Place : Shibpur, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 999, pp. 1011-1028. Springer, Singapore. [SCOPUS]

  • Janmenjoy Nayak, Dinesh, P., Vakula, K., Naik, B., & Pelusi, D. (2020),“Applications and Advancements of Nature-Inspired Optimization Algorithms in Data Clustering: A Detailed Analysis”. In 5th International Conference on Computational Intelligence in Data Mining, Date : 15-16 December 2018, Organizer: VSSUT, Place: Burla, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 990, pp. 731-750, Springer, Singapore. [SCOPUS]

  • Janmenjoy Nayak, Sura Paparao, Bighnaraj Naik, N. Seetayya, H. S. Behera, Danilo Pelusi, (2018), “Chemical Reaction Optimization: A Survey with Application & Challenges”, In 1st International Conference on Soft Computing in Data Analytics (SCDA-2018), Date : March 10-11, 2018, Organizer : Sri Sivani College of Engineering, Place: Srikakulam, Published by : Advances in Intelligent Systems and Computing(AISC Series), Springer International Publishing. [SCOPUS]

  • D Neelima, J. Karthik, K. Aravind John, S. Gowthami and Janmenjoy Nayak, “Soft Computing based Intrusion Detection Approaches: An Analytical Study”, In 1st International Conference on Soft Computing in Data Analytics (SCDA-2018), Date : March 10-11, 2018, Organizer : Sri Sivani College of Engineering, Place: Srikakulam, Published by : Advances in Intelligent Systems and Computing(AISC Series), Springer International Publishing. [SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak, “Crow Search Optimization Based Hybrid Metaheuristic for Classification: A Novel Approach”, In 1st International Conference on Computing, Analytics and Networking (ICCAN-2017), Date : 15-16 December 2017, Organizer : KIIT University, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 710, pp. 775-783, Springer International Publishing. [SCOPUS].

  • Bighnaraj Naik, Debasmita Mishra, Janmenjoy Nayak, Danilo Pelusi, Ajith Abraham(2018), “ Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach”, In 17th International Conference on Hybrid Intelligent Systems (HIS 2017), Date : December 14-16, 2017, Organizer: South Asian University, Place: Delhi, India, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 734, pp. 204-212, Springer International Publishing. [SCOPUS] .

  • Janmenjoy Nayak, Bighnaraj Naik, G. T. Chandrasekhar, H. S. Behera(2018), “A Survey on Teaching Learning based Optimization Algorithm: Short Journey from 2011 to 2017”, In 4th International Conference on Computational Intelligence in Data Mining (ICCIDM-2017), Date : 11-12 November 2017, Organizer: VSSUT, Place: Burla, Published by : Advances in Intelligent Systems and Computing(AISC Series), Springer International Publishing. [SCOPUS] [In Press]

  • Janmenjoy Nayak, Bighnaraj Naik & H. S. Behera(2017),“ Cluster Analysis using Firefly based K-Means Algorithm: A combined approach”, In 3rd International Conference on Computational Intelligence in Data Mining (ICCIDM-2016), Date : 10-11 December 2016, Organizer : KIIT University, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 556, pp. 55-64, Springer International Publishing. [SCOPUS]

  • Bighnaraj Naik, Sarita Mahapatra, Janmenjoy Nayak & H. S. Behera(2017), “Fuzzy Clustering with Improved Swarm Optimization and Genetic Algorithm: Hybrid Approach” In 3rd International Conference on Computational Intelligence in Data Mining (ICCIDM-2016), Date : 10-11 December 2016, Organizer : KIIT University, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing(AISC Series), Vol. 556, pp. 237-247, Springer International Publishing. [SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik & H. S. Behera(2016),“Optimizing a Higher Order Neural Network Through Teaching Learning Based Optimization Algorithm”, In 2nd International Conference on Computational Intelligence in Data Mining (ICCIDM-2015), Date : 5-6 December 2015, Organizer : R.I.T, Berhampur, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing(AISC Series), Springer International Publishing, Vol. 410, 2016, pp 57-71. [SCOPUS]

  • Bighnaraj Naik, Janmenjoy Nayak & H. S. Behera(2016), “A FLANN Based Non-linear System Identification for Classification and Parameter Optimization Using Tournament Selective Harmony Search”, In 2nd International Conference on Computational Intelligence in Data Mining(ICCIDM-2015), Date : 5-6 December 2015, Organizer : R.I.T, Berhampur, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing, (AISC Series), Springer International Publishing, Vol. 411, 2015, pp. 267-283. [SCOPUS]

  • D. P. Kanungo, Janmenjoy Nayak, Bighnaraj Naik & H. S. Behera(2016), “Non-Linear Classification using Higher Order Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An Experimental Analysis”, In 2nd International Conference on Computational Intelligence in Data Mining(ICCIDM-2015), Date : 5-6 December 2015, Organizer : R.I.T, Berhampur, Place: Bhubaneswar, Published by : Advances in Intelligent Systems and Computing (AISC Series), Springer International Publishing, Vol. 411, 2016, pp. 507-518. [SCOPUS]

  • Janmenjoy Nayak, D. P., Kanungo, B., Naik, H. S., Behera, (2015). “Evolutionary Improved Swarm-Based Hybrid K-Means Algorithm for Cluster Analysis”, In Proceedings of the Second International Conference on Computer and Communication Technologies (IC3T-2015), Date : 24-26 July 2015, Organizer: CMR Technical Campus, Hyderabad, Published by: Advances in Intelligent Systems and Computing (AISC Series), Springer International Publishing, Vol. 379, pp. 343-352. [SCOPUS]

  • M. K., Sahoo, Janmenjoy Nayak, S., Mohapatra, B. K., Nayak, H. S., Behera, (2015) “Character Recognition Using Firefly Based Back Propagation Neural Network”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing ,Vol. 32, pp. 151-164. [SCOPUS]

  • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera. (2015). "Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review from 2000 to 2014", In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing ,Vol. 32, pp. 133-149. [SCOPUS]

  • B., Naik, Janmenjoy Nayak, H. S., Behera, A., Abraham, (2015) “A Harmony Search Based Gradient Descent Learning-FLANN (HS-GDL-FLANN) for Classification”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing, Vol. 32, pp. 525-539. [SCOPUS]

  • D. P., Kanungo, B., Naik, Janmenjoy Nayak, S., Baboo, H. S., Behera, (2015). “An Improved PSO Based Back Propagation Learning-MLP (IPSO-BP-MLP) for Classification”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing, Vol. 31, pp. 333-344.

  • Janmenjoy Nayak, B., Naik, H. S., Behera, A., Abraham, (2015). Particle Swarm Optimization Based Higher Order Neural Network for Classification. In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing, Vol. 31, pp. 401-414. [SCOPUS]

  • C., Prasad, S., Mohanty, B., Naik, Janmenjoy Nayak, H. S., Behera, (2015), “An Efficient PSO-GA Based Back Propagation Learning-MLP (PSO-GA-BP-MLP) for Classification”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing, Vol. 31, pp. 517-527. [SCOPUS]

  • H., Das, A. K., Jena, Janmenjoy Nayak, B., Naik, H. S., Behera, (2015) “A Novel PSO Based Back Propagation Learning-MLP (PSO-BP-MLP) for Classification”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing,Vol. 32, pp. 461-471. [SCOPUS]

  • N. K. S., Behera, A. R., Routray, Janmenjoy Nayak, H. S., Behera, (2015) “Bird Mating Optimization Based Multilayer Perceptron for Diseases Classification”, In 1st International Conference on Computational Intelligence in Data Mining(ICCIDM-2014), Date : 20-21 December 2014, Organizer: VSSUT, Burla, Published by: Smart Innovation, Systems and Technologies (SIST) series, Springer International Publishing, Volume 33,pp. 305-315. [SCOPUS]

  • Janmenjoy Nayak, B., Naik, D. P., Kanungo, H. S., Behera, (2015) “An Improved Swarm Based Hybrid K-Means Clustering for Optimal Cluster Centers”, In 2nd International Conference on Information Systems Design and Intelligent Applications (INDIA-2015), Date : 8-9 January, 2015, Organizer: Kalyani University,West Bengal, Published by : Advances in Intelligent Systems and Computing (AISC Series), Springer International Publishing, Vol. 339, pp. 545-553. [SCOPUS]

  • Janmenjoy Nayak, N., Sahoo, J. R., Swain, T., Dash, H. S., Behera, (2014), “GA Based Polynomial Neural Network for Data Classification”, In 13th IEEE International Conference on Information Technology (ICIT-2014), Date: 22-24 December, 2014, Organizer: S.I.T, Bhubaneswar, Published by : IEEE, pp. 234-239, DOI: 10.1109/ICIT.2014.55. [SCOPUS]

  • Janmenjoy Nayak, D. P., Kanungo, B., Naik, H. S., Behera, (2014), “A higher order evolutionary Jordan Pi-Sigma Neural Network with gradient descent learning for classification”, In International Conference on High Performance Computing and Applications (ICHPCA – 2014), Date : 22-24 December 2014, Organizer: C.V. Raman College of Engineering, Bhubaneswar, Publisher : IEEE, pp.1-6, DOI: 10.1109/ICHPCA.2014.7045328. [SCOPUS]

  • Janmenjoy Nayak, B., Naik, H. S., Behera, (2014), “A hybrid PSO-GA based Pi sigma neural network (PSNN) with standard back propagation gradient descent learning for classification”, In IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT-2014), Date : 10-11 July 2014, Organizer: Noorul Islam University, Tamilnadu, Publisher : IEEE, pp. 878-885, DOI: 10.1109/ICCICCT.2014.6993082.

  • Bighnaraj Naik, Janmenjoy Nayak, Ashanta Ranjan Routray, “Recent Advances and Future Challenges of Functional Link Neural Network : A Review”, In the Proceedings of National Conference on Machine Learning and Data Science in Internet of Things, F.M. University, Bls, ISSN No: 2319-2526, Dt : 25th -26th March 2017.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, “Nano Computing and Nano Computer System Engineering (NCSE) : Review of State of Art and Future Directions”, In the Proceedings of National Seminar on Ballistics – A Multidisciplinary Physical Science, F.M. University, Bls, ISBN No: 978-2-642-24819-5, February 2015.

  • Janmenjoy Nayak, Hadibandhu Pattnayak, “Artificial Neural Network In Medical And Healthcare Applications”, In Two Days National Seminar on Soft Computing : A Panorama of Possibilities, Organizer: NIIS, Bhubaneswar, ISBN No: 978-81-31703-83-6, Dt : 01st-02nd June 2013.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, “Major Challenging Health Issues and Potential Opportunities of Medical Expert System in Odisha “, In National Conference On Recent Advances in Engineering & Technology (RAET-2013), Organizer:Modern Engg. And Management Studies, Balasore, Dt : 06-07 April-2013.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, Hadibandhu Pattnayak “Integration of Soft Computing Tools In Data Mining: A Unified Approach”, In National Conference On Dynamics and Prospects of Data Mining (DPDM- 2012), Organizer: Modern Engg. And Management Studies, Balasore, Dt : 30th September 2012.

  • Janmenjoy Nayak, Suprava Panda, Ashanta Ranjan Routray, Hadibandhu Pattnayak, “A Performance Analysis of Software Effort Estimation By using Artificial Neural Networks”, In National Conference On Industrial Mathematics and Soft computing (NCIMSC-2012), Organizer: KIIT University, Bhubaneswar, Dt : 26-27th May 2012.

  • Janmenjoy Nayak, Amiya Panda, Hadibandhu Pattnayak , “ Neural Network-A Novel Approach For Software Development Process : An updated Review” , In U.G.C Sponsored National Conference On Intelligent System and Soft Computing (IS2C-2012), ISBN: 978-93-81693-26-1, Organizer: F.M. University, Balasore, Dt : 06th-7th March 2012.

  • Janmenjoy Nayak, Ansuman Acharya, Hadibandhu Pattnayak, “The Emerging Role and Potential Opportunities Of Data Fusion In Computer Forensics”, In Proceedings of C.S.I. Sponsored National Conference on Cloud Computing-Facilitating Collaboration Transformation and Growth, International Journal of Computer Science and Informatics, ISSN: 2231-5292,Vol. 2, Issue-3, PP:13 - 18, Organizer: C.V. Raman College of Engineering, Bhubaneswar, Dt : 05th - 7th March 2012.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, Hadibandhu Pattnayak “Recent Development and Applications of Expert System in Artificial Intelligence: An updated Review”, In Proceedings of National Conference on Recent Advances for Science and Technology, Organizer: VSSUT, Burla, Odisha, Dt : 27th – 28th February 2012.

  • Janmenjoy Nayak, Hadibandhu Pattnayak, “Integrated Approach Of Soft Computing Tools In Various Transportation Problems”, In Proceedings of National Seminar on Information Technology: Emerging Paradigm in Development (ITEPD-2012), ISBN:81-85531-63-3, Organizer: F.M. University, Balasore, Dt : 07th February 2012.

  • Ashanta Ranjan Routray, Janmenjoy Nayak, Munesh Chandra Adhikary, “Modeling Wind Speed Forecast based on Back Propagation Neural Network”, In Proceedings of the U.G.C sponsored National Seminar On Innovative fields of Ballistics and Applied physics, ISBN:978-81-8424-746-6, Organizer: F.M. University, Balasore, Dt : 21st January 2012.

  • Janmenjoy Nayak, Hadibandhu Pattnayak, “A New Dimension To Hybrid Search Algorithm for solving Various Constraint Satisfaction and Optimization Problems”, in proceedings of the U.G.C. Sponsored National Seminar On Optimization and Applications, Organizer: S. B. Women’s College, Cuttack, Dt : 24th December 2011.

  • Janmenjoy Nayak, Ashanta Ranjan Routray, “ An Artificial Neural Network Approach For Classifying Various East Indian Trees”, in proceedings of the AICTE Sponsored National Conference On Emerging Trend & Its Application In Engineering (NCETAE 2011), Organizer: IGIT, Sarang Dt : 26th-28th December 2011.

  • Janmenjoy Nayak, Hadibandhu Pattnayak, “A Multiagent Learning Approach for Distributed Artificial Intelligence (DAI) Systems”, in proceedings of the workshop on Recent Development in Soft Computing, Organizer: MEMS, Balasore, Dt : 19th-20th November 2011.

  • Mishra M., Sharma R., A. K. Rathore, Janmenjoy Nayak, Naik B. (eds) “Innovation in Electrical Power Engineering, Communication, and Computing Technology”, Lecture Notes in Electrical Engineering, Springer, Singapore, Vol. 814, pp. 1-574, ISBN: 978-981-16-7076-3. (Date of Pub.:18th December 2021) [SCOPUS] Click Here

  • Kolla Bhanu Prakash, Janmenjoy Nayak, BTP Madhhav, Sanjeevi kumar Padmanaban, Valentina Emilia Balas, “Big Data Analytics and Intelligent Techniques for Smart Cities”, CRC Press, pp. 1-296, ISBN: 9780367753559 (Date of Pub.: September 21, 2021). Click Here

  • Basant Agarwal, Sandeep Kumar, Mohammad Khan, Goncalo Marques, Janmenjoy Nayak, “Cyber-Physical Systems: AI and COVID-19”, Elsevier, pp.1-278, ISBN: 9780128245576, (Date of Pub.: 14th November 2021).Click Here

  • Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, “Understanding COVID-19: The Role of Computational Intelligence”, Studies in Computational Intelligence, Springer, pp. 1-569, ISBN: 978-3030747602, (Date of Pub.: 28th July 2021) Click Here

  • Janmenjoy Nayak, Favorskaya, M., Jain, S., Naik, B., Mishra, M., “Advanced Machine Learning Approaches in Cancer Prognosis”, Intelligent Systems Reference Library, Springer, pp. 1-454, ISBN: 9783030719746, (Date of Pub.: 31st May 2021)Click Here

  • Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Asit Kumar Das, “Handbook of Computational Intelligence in Biomedical Engineering and Healthcare”, Elsevier, pp.1-396, ISBN: 9780128222607 (Date of Pub.: 8th April 2021)Click Here

  • Suman Tripathi Kolla Prakash Valentina Balas Sushanta Mohapatra Janmenjoy Nayak, “Electronic Devices, Circuits, and Systems for Biomedical Applications”, Elsevier, pp.1-584, ISBN: 9780323853699 (Date of Pub.: 25th April 2021)Click Here

  • Siddhartha Bhattacharyya, Janmenjoy Nayak, Kolla Bhanu Prakash, Bighnaraj Naik, Ajith Abraham (2021), “Intelligent and Smart Computing in Data Analytics”, Advs in Intelligent Syst., Computing, Springer, Singapore, Vol. 1312, pp. 1-306, ISBN: 9789813361751, (Date of Pub.: 13th March 2021) [SCOPUS]Click Here

  • G.T. Chandra Sekhar, H. S. Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi (eds) “Intelligent Computing in Control and Communication”, Lecture Notes in Electrical Engineering, Springer, Singapore, Vol. 702, pp. 1-691, ISBN: 9789811584381 (Date of Pub.: 07th January 2021) [SCOPUS]Click Here

  • Sharma R., Mishra M., Janmenjoy Nayak, Naik B., Pelusi D. (eds) “Innovation in Electrical Power Engineering, Communication, and Computing Technology”,. Lecture Notes in Electrical Engineering, Springer, Singapore, Vol 630, pp. 1-730, ISBN: 978-981-15-2304-5. (Date of Pub.:22nd February 2020) [SCOPUS].    Click Here

  • Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi (Eds). “Computational Intelligence in Pattern Recognition”, Advances in Intelligent Systems and Computing, Springer, Vol. 1120, pp. 1-596, ISBN : 978-981-15-2448-6. (Date of Pub.: 19th February 2020) [SCOPUS]    Click Here

  • Janmenjoy Nayak, Valentina E. Balas, Margarita N. Favorskaya, Bibhuti Bhusan Choudhury, S. Krishna Mohan Rao, Bighnaraj Naik (Eds). “Applications of Robotics in Industry Using Advanced Mechanisms”, Learning and Analytics in Intelligent Systems book series, Springer, Vol. 5, pp. 1-390, ISBN : 978-3-030-30270-2, (Date of Pub.: 05th September 2019).    Click Here

  • Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi (Eds). “Computational Intelligence in Pattern Recognition”, Advances in Intelligent Systems and Computing, Springer, Vol. 999, pp. 1-1046, ISBN : 978-981-13-9041-8. (Date of Pub.: 19th August 2019) [SCOPUS].    Click Here

  • Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi (Eds). “Computational Intelligence in Data Mining”, Advances in Intelligent Systems and Computing, Springer, Vol. 990, pp. 1-801, ISBN : 978-981-13-8675-6. (Date of Pub.: 19th August 2019) [SCOPUS].    Click Here

  • Janmenjoy Nayak, G. T. Chandrasekhar, Ajith Abraham, B. Murlikrishna, Asit Kumar Das, “Soft Computing in Data Analytics”, Advances in Intelligent Systems and Computing, Springer, Vol. 758, pp. 1-857, ISBN : 978-981-13-0514-6, (Date of Pub.: 21st August 2018) [SCOPUS]    Click Here

  • Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham (Eds). “Computational Intelligence in Data Mining”, Advances in Intelligent Systems and Computing, Springer, Vol. 711, pp. 1-899, ISBN : 978-981-10-8055-5. (Date of Pub.: 08th March 2018) [SCOPUS]    Click Here

  • Prasant Kumar Pattnaik, Siddharth Swarup Rautaray, Himansu Das, Janmenjoy Nayak (Eds). , “Progress in Computing Analytics and Networking”, Advances in Intelligent Systems and Computing, Springer, Vol. 710, pp. 1-845, ISBN : 978-981-10-7871-2. (Date of Pub.: 12th April 2018) [SCOPUS]    Click Here

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