Dr P ILANGO

@psgitech.ac.in

Professor, Department of Computer Science and Engineering
PSG Institute of Technology and Applied Research, Coimbatore - 641062

Dr P ILANGO


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https://researchid.co/drpilango

RESEARCH INTERESTS

Machine learning, Information Security, Intelligent Systems
739

Scholar Citations

15

Scholar h-index

19

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • A Performance Study of Prediction Models for Diabetes Prediction Using Machine Learning
    P Mohan, I Paramasivam
    Computational Methods and Data Engineering: Proceedings of ICCMDE 2021, 41-53 , 2022
    2022
    Citations: 1
  • Hybrid optimization algorithm for task scheduling and virtual machine allocation in cloud computing
    G Sreenivasulu, I Paramasivam
    Evolutionary Intelligence 14 (2), 1015-1022 , 2021
    2021
    Citations: 35
  • Feature reduction using SVM-RFE technique to detect autism spectrum disorder
    P Mohan, I Paramasivam
    Evolutionary Intelligence 14 (2), 989-997 , 2021
    2021
    Citations: 18
  • Design and analysis of behaviour based DDoS detection algorithm for data centres in cloud
    Q Shaik Mohammed Penukonda, I Paramasivam
    Evolutionary Intelligence 14 (2), 395-404 , 2021
    2021
    Citations: 7
  • Energy aware task scheduling using hybrid firefly-GA in big data
    M Senthilkumar, P Ilango
    International Journal of Advanced Intelligence Paradigms 16 (2), 99-112 , 2020
    2020
    Citations: 10
  • Method of handling a missing value in data mining system.
    VKI Paramasivam
    IN Patent App. 201,941,023,805 , 2019
    2019
  • Energy-aware task scheduling using hybrid firefly-bat (ffabat) in big data
    M Senthilkumar
    Cybernetics and Information Technologies 18 (2), 98-111 , 2018
    2018
    Citations: 18
  • Method and system for improving replica allocation time in a Mobile Adhoc Network.
    PJKI Paramasivam
    IN Patent 39/2,018 , 2018
    2018
  • BMAQR: balanced multi attribute QoS aware replication in HDFS
    PJ Kumar, P Ilango
    International Journal of Internet Technology and Secured Transactions 8 (2 … , 2018
    2018
    Citations: 6
  • The impact of wireless sensor network in the field of precision agriculture: A review
    SA Kumar, P Ilango
    Wireless Personal Communications 98 (1), 685-698 , 2018
    2018
    Citations: 218
  • Effective health promotion interventions for targeted audience using social networking sites: A systematic review.
    SP Meenakshi, P Sivakumar, P Ilango
    Indian Journal of Science and Technology 10 (36), 1-09 , 2017
    2017
    Citations: 3
  • An optimized replica allocation algorithm amidst of selfish nodes in MANET
    PJ Kumar, P Ilango
    Wireless Personal Communications 94 (4), 2719-2738 , 2017
    2017
    Citations: 11
  • A study on impact of dimensionality reduction on Naive Bayes classifier
    P Mohan, I Paramasivam
    Indian Journal of Science and Technology 10 (20) , 2017
    2017
    Citations: 3
  • Grey Fuzzy Neural Network-Based Hybrid Model for Missing Data Imputation in Mixed Database.
    V Kuppusamy, I Paramasivam
    International Journal of Intelligent Engineering & Systems 10 (2) , 2017
    2017
    Citations: 10
  • A Survey on Contemporary Security Threats in Big Data and Information System
    JK Jaiswal, R Samikannu, I Paramasivam
    2017 Second International Conference on Recent Trends and Challenges in … , 2017
    2017
    Citations: 1
  • PRIN: A priority-based energy efficient MAC protocol for wireless sensor networks varying the sample inter-arrival time
    AK Subramanian, I Paramasivam
    Wireless Personal Communications 92 (3), 863-881 , 2017
    2017
    Citations: 52
  • Data Replication in Current Generation Computing Environment.
    PI P J Kumar
    , International Journal of Engineering Trends and Technology (IJETT) 45 (10 … , 2017
    2017
    Citations: 4
  • Data Replication in Conventional Computing Environment.
    PI P J Kumar
    International Journal of Computer Trends and Technology (IJCTT) 45 (2), 67 - 74 , 2017
    2017
  • On the estimation of optimal number of clusters for the induction of fuzzy decision trees
    SJ Narayanan, I Paramasivam, RB Bhatt
    International Journal of Data Science 2 (3), 221-245 , 2017
    2017
    Citations: 7
  • Integrating WLI fuzzy clustering with grey neural network for missing data imputation
    V Kuppusamy, I Paramasivam
    International Journal of Intelligent Enterprise 4 (1-2), 103-127 , 2017
    2017
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • The impact of wireless sensor network in the field of precision agriculture: A review
    SA Kumar, P Ilango
    Wireless Personal Communications 98 (1), 685-698 , 2018
    2018
    Citations: 218
  • PRIN: A priority-based energy efficient MAC protocol for wireless sensor networks varying the sample inter-arrival time
    AK Subramanian, I Paramasivam
    Wireless Personal Communications 92 (3), 863-881 , 2017
    2017
    Citations: 52
  • Hybrid optimization algorithm for task scheduling and virtual machine allocation in cloud computing
    G Sreenivasulu, I Paramasivam
    Evolutionary Intelligence 14 (2), 1015-1022 , 2021
    2021
    Citations: 35
  • Prediction and Diagnosis of Cardio Vascular Disease--A Critical Survey
    K Rajmohan, I Paramasivam, S Sathyanarayan
    2014 World Congress on computing and communication technologies, 246-251 , 2014
    2014
    Citations: 35
  • A modified LEACH protocol for increasing lifetime of the wireless sensor network
    SA Kumar, P Ilango, GH Dinesh
    Cybernetics and Information Technologies 16 (3), 154-164 , 2016
    2016
    Citations: 32
  • A survey on job scheduling in big data
    M Senthilkumar, P Ilango
    Cybernetics and Information Technologies 16 (3), 35-51 , 2016
    2016
    Citations: 32
  • Secure authentication and integrity techniques for randomized secured routing in WSN
    U Senthil Kumaran, P Ilango
    Wireless Networks 21 (2), 443-451 , 2015
    2015
    Citations: 25
  • A study on the approximation of clustered data to parameterized family of fuzzy membership functions for the induction of fuzzy decision trees
    SJ Narayanan, I Paramasivam, RB Bhatt, M Khalid
    Cybernetics and Information Technologies 15 (2), 75-96 , 2015
    2015
    Citations: 24
  • Development and comparative analysis of fuzzy inference systems for predicting customer buying behavior
    GK Nayak, SJ Narayanan, I Paramasivam
    International Journal of Engineering and Technology 5 (5), 4093-4108 , 2013
    2013
    Citations: 23
  • Higher dimensional chaos for Audio encryption
    SG Babu, P Ilango
    2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS … , 2013
    2013
    Citations: 22
  • An enterprise oriented view on the cloud integration approaches–hybrid cloud and big data
    S Palanimalai, I Paramasivam
    Procedia Computer Science 50, 163-168 , 2015
    2015
    Citations: 21
  • Feature reduction using SVM-RFE technique to detect autism spectrum disorder
    P Mohan, I Paramasivam
    Evolutionary Intelligence 14 (2), 989-997 , 2021
    2021
    Citations: 18
  • Energy-aware task scheduling using hybrid firefly-bat (ffabat) in big data
    M Senthilkumar
    Cybernetics and Information Technologies 18 (2), 98-111 , 2018
    2018
    Citations: 18
  • Approximating fuzzy membership functions from clustered raw data
    RB Bhatt, SJ Narayanan, I Paramasivam, M Khalid
    2012 Annual IEEE India Conference (INDICON), 487-492 , 2012
    2012
    Citations: 16
  • Induction of fuzzy decision trees and its refinement using gradient projected-neuro-fuzzy decision tree
    SJ Narayanan, RB Bhatt, I Paramasivam, M Khalid, BK Tripathy
    International Journal of Advanced Intelligence Paradigms 6 (4), 346-369 , 2014
    2014
    Citations: 15
  • ‘Data funneling in wireless sensor networks: A comparative study
    SA Kumar, P Ilango
    Indian Journal of Science and Technology 8 (5), 472-80 , 2015
    2015
    Citations: 13
  • An optimized replica allocation algorithm amidst of selfish nodes in MANET
    PJ Kumar, P Ilango
    Wireless Personal Communications 94 (4), 2719-2738 , 2017
    2017
    Citations: 11
  • Energy aware task scheduling using hybrid firefly-GA in big data
    M Senthilkumar, P Ilango
    International Journal of Advanced Intelligence Paradigms 16 (2), 99-112 , 2020
    2020
    Citations: 10
  • Grey Fuzzy Neural Network-Based Hybrid Model for Missing Data Imputation in Mixed Database.
    V Kuppusamy, I Paramasivam
    International Journal of Intelligent Engineering & Systems 10 (2) , 2017
    2017
    Citations: 10
  • A study of impact on missing categorical data-A qualitative review
    V Kuppusamy, I Paramasivam
    Indian Journal of Science and Technology 9 (32), 1-4 , 2016
    2016
    Citations: 8