KARUPPATHAL R

@psnacet.edu.in

Professor and Information Technology

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Information Systems
9

Scopus Publications

76

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Recognition and Optimization of Wear Behaviour of Al 6081 with Polymeric Nanocomposites Using Machine Learning
    Jaidev Kumar, Sanjay R. Pawar, Ashish, V Kamalakar, R Karuppathal, et al.
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
    The Al 6081 alloy is broadly used in numerous engineering requests due to its excellent mechanical properties. However, its resistance of wear parameter is not satisfactory. In this study, the wear resistance of Al 6081 alloy reinforced with Graphene nanoplatelets (GNPs) at three different percentages (0.3%, 0.6%, and 0.9%) was investigated using Taguchi L27 array design. Machine learning techniques such as Signal to Noise ratio and Neural Networks were used to forecast the responses and optimize the wear behaviour of the Al 6081 alloy. The wear track was identified using Scanning Electron Microscopy (SEM) images. The results of the study indicate that the addition of GNPs improves the wear resistance of the Al 6081 alloy. The percentage of GNPs reinforcement that gives the best wear resistance is determined using the Taguchi L27 array design. It is found that 5% GNPs additives reduces the wear compared to other composition, 1% and 3%. This study provides a deeper understanding of the wear behaviour of Al 6081 alloy reinforced with GNPs and can be used as a reference for future research in this field. The use of machine learning techniques in this study provides a new approach for the optimization of wear behaviour in Al 6081 alloy reinforced with GNPs, which can be applied in various industrial applications. Overall, the consequences of this study validate that incorporating 0.9% GNPs in Al 6081 alloy is an operative way to advance its wear resistance properties.
  • SATELLITE IMAGE ANALYSIS USING CONTEXTUAL DATA RETRIEVAL TECHNIQUE FOR ENVIRONMENTAL MONITORING CONDITION
    Journal of Environmental Protection and Ecology, 2022
  • Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT
    R. Bhaskaran, R. Karuppathal, M. Karthick, J. Vijayalakshmi, Seifedine Kadry, et al.
    Intelligent Automation and Soft Computing, 2022
  • Wireless sensor network based under water pipeline monitoring for using autonomous under water vehicles
    International Journal of Recent Technology and Engineering, 2019
  • Hypervisor based anomaly detection system in cloud computing using ANFIS
    Journal of Internet Technology, 2017
  • An automotive approach for brain tumor segmentation based on gaussian distribution and level set method
    R. Karuppathal, V. Palanisamy
    Current Medical Imaging Reviews, 2014
  • Brain tumor detection and classification of normal, abnormal in MRI images
    Journal of Theoretical and Applied Information Technology, 2014
  • Fuzzy based automatic detection and classification approach for MRI-brain tumor
    Arpn Journal of Engineering and Applied Sciences, 2014
  • Hybrid GA- SVM for feature selection to improve Automatic Bayesian classification of Brain MRI Slice
    Life Science Journal, 2013

RECENT SCHOLAR PUBLICATIONS

  • Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT
    Y Bhaskaran, R. , Karuppathal, R. , Karthick, M. , ... Kadry, S. , Nam
    Intelligent Automation and Soft Computing 33 (3), 1593–1606 , 2022
    2022
    Citations: 16
  • SATELLITE IMAGE ANALYSIS USING CONTEXTUAL DATA RETRIEVAL TECHNIQUE FOR ENVIRONMENTAL MONITORING CONDITION
    R Bhaskaran, R. , Karuppathal, R. , Prakash, N.B. , Rajkumar
    Journal of Environmental Protection and Ecology 23 (1), 301–313 , 2022
    2022
    Citations: 1
  • A big data analytical approach for prediction of cancer using modified k-nearest neighbour algorithm
    K Muthumayil, R Karuppathal, T Jayasankar, B Aruna Devi, NB Prakash, ...
    Journal of Medical Imaging and Health Informatics 11 (8), 2184-2189 , 2021
    2021
    Citations: 17
  • Infrastructure for Time Critical Applications of Big Data Systems Using Light Weight YARN Architecture
    S AM, K Loheswaran, GNR Devi, C Balakrishnan, TS Srini
    2021
  • Impact of Augmented Reality Education on Students Interactivity” in , 2021, vol. 14, issue. 4, pp. 1-10
    K R
    International Journal of Pharmaceutical Research 13 (2), 690-698 , 2021
    2021
  • Developing Secure Cloud Storage Through Quantum Secure Socket Layer Protocol
    K Pandeeswari N, Sivakami R
    International Journal for Research in Engineering Application & Management … , 2020
    2020
  • Discovering Malicious Insiders In And Around Cloud Systems Based On Hypervisor Technology
    JS N Pandeeswari, R Sivakami, R Karuppathal, N Sasikala
    Journal of Critical Reviews 7 (19), 1-10 , 2020
    2020
  • Wireless sensor network based under water pipeline monitoring for using autonomous under water vehicles
    N Bhuvaneshwari, S. , Karuppathal, R. , Kumar, A.V.A. , Pandeeswari
    International Journal of Recent Technology and Engineering, 2019, 7(6), pp … , 2019
    2019
  • Hypervisor Based Anomaly Detection System in Cloud Computing Using ANFIS
    N Pandeeswari, R Karuppathal
    網際網路技術學刊 18 (6), 1335-1344 , 2017
    2017
    Citations: 1
  • Anatomy Guidance Based Brain Tumor Segmentation and Classification
    VP R.Karuppathal
    International Journal of Printing, Packaging & Allied Sciences 8 (4 … , 2016
    2016
  • Fuzzy based automatic detection and classification approach for MRI-brain tumor
    R Karuppathal, V Palanisamy
    ARPN Journal of Engineering and Applied Sciences 9 (12) , 2014
    2014
    Citations: 23
  • An automotive approach for brain tumor segmentation based on Gaussian distribution and level set method
    R Karuppathal, V Palanisamy
    Current Medical Imaging Reviews 10 (4), 290-296 , 2014
    2014
    Citations: 1
  • BRAIN TUMOR DETECTION AND CLASSIFICATION OF NORMAL, ABNORMAL IN MRI IMAGES.
    R KARUPPATHAL, V PALANISAMY
    Journal of Theoretical & Applied Information Technology 68 (3) , 2014
    2014
  • Hybrid GA-SVM for feature selection to improve Automatic Bayesian classification of Brain MRI Slice
    R Karuppathal, V Palanisamy
    Life Science Journal 10 (2) , 2013
    2013
    Citations: 3
  • Copyright protection using digital watermarking
    DM Jose, R Karuppathal, AVA Kumar
    National conference on advances in computer science and applications with … , 2012
    2012
    Citations: 14

MOST CITED SCHOLAR PUBLICATIONS

  • Fuzzy based automatic detection and classification approach for MRI-brain tumor
    R Karuppathal, V Palanisamy
    ARPN Journal of Engineering and Applied Sciences 9 (12) , 2014
    2014
    Citations: 23
  • A big data analytical approach for prediction of cancer using modified k-nearest neighbour algorithm
    K Muthumayil, R Karuppathal, T Jayasankar, B Aruna Devi, NB Prakash, ...
    Journal of Medical Imaging and Health Informatics 11 (8), 2184-2189 , 2021
    2021
    Citations: 17
  • Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT
    Y Bhaskaran, R. , Karuppathal, R. , Karthick, M. , ... Kadry, S. , Nam
    Intelligent Automation and Soft Computing 33 (3), 1593–1606 , 2022
    2022
    Citations: 16
  • Copyright protection using digital watermarking
    DM Jose, R Karuppathal, AVA Kumar
    National conference on advances in computer science and applications with … , 2012
    2012
    Citations: 14
  • Hybrid GA-SVM for feature selection to improve Automatic Bayesian classification of Brain MRI Slice
    R Karuppathal, V Palanisamy
    Life Science Journal 10 (2) , 2013
    2013
    Citations: 3
  • SATELLITE IMAGE ANALYSIS USING CONTEXTUAL DATA RETRIEVAL TECHNIQUE FOR ENVIRONMENTAL MONITORING CONDITION
    R Bhaskaran, R. , Karuppathal, R. , Prakash, N.B. , Rajkumar
    Journal of Environmental Protection and Ecology 23 (1), 301–313 , 2022
    2022
    Citations: 1
  • Hypervisor Based Anomaly Detection System in Cloud Computing Using ANFIS
    N Pandeeswari, R Karuppathal
    網際網路技術學刊 18 (6), 1335-1344 , 2017
    2017
    Citations: 1
  • An automotive approach for brain tumor segmentation based on Gaussian distribution and level set method
    R Karuppathal, V Palanisamy
    Current Medical Imaging Reviews 10 (4), 290-296 , 2014
    2014
    Citations: 1
  • Infrastructure for Time Critical Applications of Big Data Systems Using Light Weight YARN Architecture
    S AM, K Loheswaran, GNR Devi, C Balakrishnan, TS Srini
    2021
  • Impact of Augmented Reality Education on Students Interactivity” in , 2021, vol. 14, issue. 4, pp. 1-10
    K R
    International Journal of Pharmaceutical Research 13 (2), 690-698 , 2021
    2021
  • Developing Secure Cloud Storage Through Quantum Secure Socket Layer Protocol
    K Pandeeswari N, Sivakami R
    International Journal for Research in Engineering Application & Management … , 2020
    2020
  • Discovering Malicious Insiders In And Around Cloud Systems Based On Hypervisor Technology
    JS N Pandeeswari, R Sivakami, R Karuppathal, N Sasikala
    Journal of Critical Reviews 7 (19), 1-10 , 2020
    2020
  • Wireless sensor network based under water pipeline monitoring for using autonomous under water vehicles
    N Bhuvaneshwari, S. , Karuppathal, R. , Kumar, A.V.A. , Pandeeswari
    International Journal of Recent Technology and Engineering, 2019, 7(6), pp … , 2019
    2019
  • Anatomy Guidance Based Brain Tumor Segmentation and Classification
    VP R.Karuppathal
    International Journal of Printing, Packaging & Allied Sciences 8 (4 … , 2016
    2016
  • BRAIN TUMOR DETECTION AND CLASSIFICATION OF NORMAL, ABNORMAL IN MRI IMAGES.
    R KARUPPATHAL, V PALANISAMY
    Journal of Theoretical & Applied Information Technology 68 (3) , 2014
    2014