Ms. R.  Shanthi
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Ms. R. Shanthi

Assistant Professor
SRM University, India


Highest Degree
Ph.D. Student in Computer Science from SRM University, India

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Area of Interest:

Computer Sciences
100%
Data Mining
62%
Artificial Intelligence
90%
Medical Imaging
75%
Machine Learning
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Shanthi, R., M.A.F. Hassan, R. Manikantan, M.M. Nouman and R.S. Prasanna, 2019. Arrhythmia recognition and classification using ECG morphology and segment feature analysis using support vector machine. Int. J. Innov. Res. Comput. Commun. Eng., 7: 893-897.
  2. Shanthi, R. and S. Prabakaran, 2019. Effective utilization of artificial intelligence for predicting glaucoma in fundus image. Caribbean J. Sci., 53: 902-912.
  3. Akash, A., R. Shanthi, R. Aravinth, V.K. Vendhan and D. Veerapan, 2019. Stock market trend prediction using machine learning. Int. J. Innovat. Res. Comput. Commun. Eng., 7: 1000-1006.
  4. Shanthi, R., V. Nivetha and S.V. Pushwini, 2018. Multi bank smart card. Int. J. Innov. Adv. Comput. Sci., 7: 172-179.
  5. Shanthi, R. and S. Prabakaran, 2018. Detection of microaneurysms and hemorrhages in fundus image for glaucoma diagnosis. Int. J. Eng. Technol., 7: 391-396.
  6. Shanthi, R., K. Saraswathi, R.S. Priya and S.S. Devi, 2017. Blood vessel segmentation in fundus images. Int. Res. Jo. Eng. Technol., 4: 220-223.
  7. Shanthi, R., V. Raghavi, B. Revathy, D. Sharon, Sharmishtha and D. Shunmugapriya, 2016. Analysis of request over possible clouds without merged duplicates. Int. J. Eng. Res. Comput. Sci. Eng., 3: 19-22.
  8. Shanthi, R. and S. Prabakaran, 2016. Fundus abnormalities and image acquisition techniques-A survey. J. Chem. Pharm. Sci., 10: 1062-1069.
  9. Shanthi, R. and S. Prabakaran, 2015. A review paper on an automatic localization of optic disc and segmentation approaches for glaucoma diagnosis. Int. J. Applied Eng. Res., 10: 180-185.