Dr.M.Ramaraj

Verified email at gmail.com

Assistant professor Computer Science
Rathinam college of Arts and Science/ Bharathiar University



                                   

https://researchid.co/ramarajphdcs123

Dr. Muniappan Ramaraj is working as an Assistant Professor in the Department of Computer Science at Rathinam College of Arts and Science, Coimbatore. He holds a Ph.D., degree in computer science at Bharathiar University in the year of 2020 with specialization in Data Mining with Image Process and also Fuzzy logic in the image analysis. His research areas are Data Mining, Image Processing, Fuzzy Logic, Pattern Recognition and Deep Learning concept. He has published more research article in the reputed various national and international journals and also filed the patents in the same field. He has a reviewer of many international journals including with IEEE, ASTESJ, and JERS. He can be contacted at email: ramaraj.phdcs@gmail.com, or ramaraj.phdcs123@gmail.com.

RESEARCH INTERESTS

Data Mining, Image Processing

FUTURE PROJECTS

FIBROTIC NOTIONAL IDENTIFICATION AND SEGMENTATION OF BRAIN TUMOR IMAGE USING RNN_LSTM METHODS

Fibrotic notional brain tumor identification and classification is the process of splitting the tumor from normal and abnormal tissues in the medical field that can provide very useful information for diagnosis and treatment planning. Detecting the type of tumor and preventing it is one of the most challenging aspects of brain tumor categorization. Glioma has been most prominent fundamental stage of brain tumors. For diagnosis, treatment planning, and risk factor identification, accurate and strong tumor segmentation and prediction of patients' overall survival are critical. Here, it presents a deep learning Method-is based on the RNN framework for brain tumor segmentation and LSTM prediction in Glioma, using multimodal MRI scans. RNN (Recurrent Neural Network), the most advanced method in deep learning was used to detect a tumor using brain MRI images. Numerous conventional methods including classifiers should have been used to validate the proposed approach.


Applications Invited
1

Scopus Publications

19

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Effect of the antifeeding compound AC-24055 on the Philippine lady beetle.
    R. Muniappan

    Journal of economic entomology, ISSN: 00220493, Pages: 1482-1483, Published: Oct 1972 Oxford University Press (OUP)
    Compound IV was more active against the bollworm than against the tobacco budwol'ln. Compound V, methyl parathion, the O,O-dimethyl homologue of 0(p-nitrophenyl) phosphorothioate, was the most toxic of all 8 compounds to both species when it was applied topically (Table 2). Compounds V, VI. and VIII were more toxic to the bollworm than to the tobacco budworm when applied topically: the reverse was true for Compounds 1. II. and III (Tab]e ]). Foliar sprays of Compounds V and VI were equally toxic to the bollworm and the tobacco budworm and were more toxic than Compounds VII and VIII.

RECENT SCHOLAR PUBLICATIONS

  • The Novel Technique Based Gaussian Firefly Selection with Modified Fuzzy Cognitive Maps Prediction on Vegetable Plants.
    D Sabareeswaran, R Gunasundari, K Ramesh, M Ramaraj
    International Journal of Modern Agriculture 10 (2), 2246-2246 2021

  • Modified color pixel based image segmentation using fbmc algorithms used with real time image database
    M Ramaraj, D Sabareeswaran, GA Prasanna
    Materials Today: Proceedings 2021

  • Enhanced Image Segmentation To Infer The Age Of The Tiger Using Fuzzy Modified K-Means Clustering Algorithm (FMKMCA).
    SN M. Ramaraj
    Research Journal of Pharmaceutical, Biological and Chemical Sciences 10 (2 2019

  • Comparative Analysis of Proposed Methods for Analyzing Color Pixel based Image Segmentation Using Tiger Image Dataset
    DSN M. Ramaraj
    International Journal of Research 7 (IX), 235-252 2018

  • Color Pixel Based Image Segmentation Using Enhanced Data Clustering Algorithms Applying On Tiger Image Dataset
    DSN M. Ramaraj
    International Journal Of Advance And Innovative Research 5 (3), 83-88 2018

  • Color Pixel Based Image Classification and Clustering Using Fuzzy Method
    DSN M. Ramaraj
    International Journal for Research in Engineering Application & Management 2018

  • Design and Implementations of Color Pixel Based Image Segmentation Using Enhanced Data Clustering Algorithms to Applying on Tiger Image Dataset
    DSN M. Ramaraj
    International Journal of Pure and Applied Mathematics 119 (18), 2719-2739 2018

  • Multiple Imputation for Missing Data Using Factored Regression Modelwith the Implementation of Current Population
    SD Kumar
    2018

  • Application of color based image segmentation paradigm on rgb color pixels using fuzzy c-means and k means algorithms
    SPONRGBC PIXELS
    2017

  • An Analysis of Image Segmentation Based on Hybrid Clustering
    DSN M.Ramaraj
    one day national conference on Green Computing 3 (3) 2017

  • An Analysis Of K Means Clustering Algorithm Image Segmentation With IQI
    DSN M. Ramaraj
    International Journal for Scientific Research and Development 4 (Issue 09 2016

  • Color Based Image Segmentation Using KNN Classification with Contour Analysis Method
    DSN M.Ramaraj
    International Research Journal of Engineering Technology 3 (issue 10), 1169-1177 2016

  • Plagiarism detection paradigm for web content using similarity analysis approach
    M Ramaraj, AS THANAMANI
    IJAICT 1 (5), 421-424 2014

  • A comparative study of CN2 rule and SVM algorithm and prediction of heart disease datasets using clustering algorithms
    M Ramaraj, AS Thanamani
    Network and Complex Systems 3 (10), 1-6 2013

  • Grouping of Color Pixel Based Image Segmentation using on Clustering Techniques
    M Ramaraj, S Niraimathi


MOST CITED SCHOLAR PUBLICATIONS

  • A comparative study of CN2 rule and SVM algorithm and prediction of heart disease datasets using clustering algorithms
    M Ramaraj, AS Thanamani
    Network and Complex Systems 3 (10), 1-6 2013
    Citations: 10

  • Color Based Image Segmentation Using KNN Classification with Contour Analysis Method
    DSN M.Ramaraj
    International Research Journal of Engineering Technology 3 (issue 10), 1169-1177 2016
    Citations: 4

  • Modified color pixel based image segmentation using fbmc algorithms used with real time image database
    M Ramaraj, D Sabareeswaran, GA Prasanna
    Materials Today: Proceedings 2021
    Citations: 2

  • Plagiarism detection paradigm for web content using similarity analysis approach
    M Ramaraj, AS THANAMANI
    IJAICT 1 (5), 421-424 2014
    Citations: 2

  • Application of color based image segmentation paradigm on rgb color pixels using fuzzy c-means and k means algorithms
    SPONRGBC PIXELS
    2017
    Citations: 1

Publications

1.Paper Published on “A Comparative Study on CN2 Rule and SVM Algorithm for Prediction of Heart Disease Datasets Using Clustering Algorithms” IISTE volume 3, No 10 on 2013.
2.Paper Published on “Plagiarism Detection Paradigm for Web Content Using Similarity Analysis Approach” on IJAICT volume 1, issue 5, on September 2014.
3. Paper Published On “Color Based Image Segmentation Using KNN Classification with Contour Analysis Method” IRJET, volume 03, issue 10, Oct 2016.
4. Paper Published On “An Analysis Of K Means Clustering Algorithm Image Segmentation With IQI” IJSRD, Volume 04, Issue 09, Nov 2016.
5.Published paper on “Application of Color Based Image Segmentation Paradigm on RgbColor Pixels Using Fuzzy C-Means and K Means Algorithms” IJCSMC, Vol-6, Issue-6, June-2017.
6. Published paper on “Grouping of Color Pixel Based Image Segmentation using on Clustering Techniques” IJEECSE, Vol-4, Issue-6, December 2017.(UGC Refeered Journal).
7. Published paper on “Color Pixel Based Image Classification and Clustering Using Fuzzy Method” International Journal for Research in Engineering Application & Management (IJREAM) ISSN : 2454-9150 Vol-04, Issue-04, July 2018. (UGC Refeered Journal).
8. Published Paper On “Color Pixel Based Image Segmentation Using Enhanced Data Clustering Algorithms Applying On Tiger Image Dataset” International Journal Of Advance And Innovative Research. ISSN: 2394-7780.Volume 5, Issue 3 (VII): July - September, 2018. UGC Approved Journals.

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

R-CNN Based Smart Healthcare Cloud Based IOT Model For Detection and Prevention.