Dr S Jayanthi

@gnithyd.ac.in

Professor & Head, Department of Information Technology
Guru Nanak Institute of Technology



           

https://researchid.co/sjayanthi

EDUCATION

Ph D (Computer Science & Engineering)

RESEARCH INTERESTS

Big Data Analytics, Drone Technology

19

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • A cross-layer method for evaluating the effectiveness of MANETs
    S Jayanthi, B Lekheshwar, GP Preetham, DS Rohith, C Harshith
    AIP Conference Proceedings 2816 (1) 2024

  • Ensemble of deep learning models for classification of heart beats arrhythmias detection
    S Jayanthi, SP Devi
    J. Theor. Appl. Inform. Technol 101 (8) 2023

  • Deep Learning-Based Diabetic Retinopathy Screening System
    R Kalimuthu, L Zangazanga, S Jayanthi, IA Herman
    International Conference on Innovations in Computer Science and Engineering 2022

  • Design and development of framework for big data based smart farming system
    S Jayanthi, K Rajkumar, Shaheen, S Shrivastava, IA Herman
    Innovations in Computer Science and Engineering: Proceedings of the Ninth 2022

  • A scrupulous approach to perform classification and detection of fetal brain using darknet yolo v4
    NS Kumar, AK Goel, S Jayanthi
    2021 International Conference on Advance Computing and Innovative 2021

  • Design and Development of Machine Learning Model for Osteoarthritis Identification
    NSK Babu, EM Reddy, S Jayanthi, K Rajkumar
    Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE 2021

  • Investigation on Aggregated Weighted Ensemble Framework for Data Stream Classification
    R Sayal, S Jayanthi, N Suresh Kumar
    Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE 2020

  • Development and Investigation of Data Stream Classifier Using Lagrangian Interpolation Method
    S Jayanthi, JM Geraldine
    Innovations in Computer Science and Engineering: Proceedings of the Sixth 2019

  • Improved Clusters in Time Series Data Mining Using Hybridized Adaptive Fuzzy C-Means
    JM Geraldine, S Jayanthi
    Innovations in Computer Science and Engineering: Proceedings of the Sixth 2019

  • Incremental aggregation model for data stream classification
    S Jayanthi, B Karthikeyan
    ARPN Journal of Engineering and Applied Sciences 10 (8) 2015

  • Cloud computing with optimized resources allocation in virtual machine
    S Jayanthi, PS Babu
    Advances in Natural and Applied Sciences 8 (17), 36-41 2014

  • A recap on data stream classification
    S Jayanthi, B Karthikeyan
    Advances in Natural and Applied Sciences 8 (17), 76-83 2014

  • Aggregate Weighted Ensemble Model for Data Stream Classification
    B Karthikeyan

  • Trends in Data Stream Classification
    S Jayanthi

  • DECISION TREE LEARNING ALGORITHM IN DATA STREAM MINING PROCESS
    S Jayanthi

  • Data Stream Mining: A Recap
    S Jayanthi

  • Development and Investigation of Novel Genetic Based Ensemble Data Stream Classification Model
    S Jayanthi

  • Annotating Search Results on Web Database: A Recap
    MR Kumar, S Jayanthi

MOST CITED SCHOLAR PUBLICATIONS

  • A scrupulous approach to perform classification and detection of fetal brain using darknet yolo v4
    NS Kumar, AK Goel, S Jayanthi
    2021 International Conference on Advance Computing and Innovative 2021
    Citations: 13

  • Incremental aggregation model for data stream classification
    S Jayanthi, B Karthikeyan
    ARPN Journal of Engineering and Applied Sciences 10 (8) 2015
    Citations: 2

  • A recap on data stream classification
    S Jayanthi, B Karthikeyan
    Advances in Natural and Applied Sciences 8 (17), 76-83 2014
    Citations: 2

  • Ensemble of deep learning models for classification of heart beats arrhythmias detection
    S Jayanthi, SP Devi
    J. Theor. Appl. Inform. Technol 101 (8) 2023
    Citations: 1

  • Design and development of framework for big data based smart farming system
    S Jayanthi, K Rajkumar, Shaheen, S Shrivastava, IA Herman
    Innovations in Computer Science and Engineering: Proceedings of the Ninth 2022
    Citations: 1