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Aswathi T.

Assistant Professor , School of Computing, Coimbatore

Qualification: PG
@amrita.edu

Bio Publications
Bio

Aswathi T. is an Assistant Professor in School of Computing, Coimbatore. She graduated with Post-Graduation in Computer Science and Communication Engineering from VIT University Vellore and Under-Graduation in Computer science and Engineering form University of Calicut. She is pursuing her Ph.D. from the Amrita Vishwa Vidyapeetham University – Coimbatore. Her research area of interest includes Machine learning, Deep Learning, and Medical image processing.

Publications

Journal Article

Year : 2018

Preventing distributed denial of service attacks and data security

Cite this Research Publication : Aswathi T and M, S., “Preventing distributed denial of service attacks and data security”, International Journal of Advance Research and Development, vol. Volume 3, no. issue4, 2018.

Publisher : International Journal of Advance Research and Development

Year : 2016

Sentiment analysis based on word-emoticon clusters

Cite this Research Publication : B. Joylin, Aswathi T, and Victor, N., “Sentiment analysis based on word-emoticon clusters”, International Journal of Pharmacy and Technology, vol. 8, pp. 25288-25296, 2016.

Publisher : International Journal of Pharmacy and Technology

Year : 2016

Sentiment Analysis on “Ebola” outbreak using Twitter data

Cite this Research Publication : Aswathi T, A. Joylin, B., Suma, P., and Victor, P. Nancy, “Sentiment Analysis on “Ebola” outbreak using Twitter data”, International Journal of Pharmacy and Technology, 2016.

Publisher : International Journal of Pharmacy and Technology

Conference Proceedings

Year : 2021

Transfer Learning approach for grading of Diabetic Retinopathy

Cite this Research Publication : Aswathi T, Swapna, T. R., and Padmavathi, S., “Transfer Learning approach for grading of Diabetic Retinopathy”, Journal of Physics: Conference Series. . 2021.

Publisher : Journal of Physics: Conference Series.

Book Chapter

Year : 2020

Performance Analysis of NASNet on Unconstrained Ear Recognition

Cite this Research Publication : K. Radhika, Devika, K., Aswathi, T., Sreevidya, P., Sowmya V., and Dr. Soman K. P., “Performance Analysis of NASNet on Unconstrained Ear Recognition”, in Nature Inspired Computing for Data Science, Springer International Publishing, 2020, pp. 57-82, Springer, Cham.

Publisher : Springer International Publishing

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