Ms. R. Shanthi
Assistant ProfessorSRM University, India
Highest Degree
Ph.D. Student in Computer Science from SRM University, India
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Selected Publications
- 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.
- Shanthi, R. and S. Prabakaran, 2019. Effective utilization of artificial intelligence for predicting glaucoma in fundus image. Caribbean J. Sci., 53: 902-912.
- 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.
- Shanthi, R., V. Nivetha and S.V. Pushwini, 2018. Multi bank smart card. Int. J. Innov. Adv. Comput. Sci., 7: 172-179.
- Shanthi, R. and S. Prabakaran, 2018. Detection of microaneurysms and hemorrhages in fundus image for glaucoma diagnosis. Int. J. Eng. Technol., 7: 391-396.
- 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.
- 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.
- Shanthi, R. and S. Prabakaran, 2016. Fundus abnormalities and image acquisition techniques-A survey. J. Chem. Pharm. Sci., 10: 1062-1069.
- 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.