Ministry of Education
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Prof Rajasenbagam T

vidwan id: 117188
Female

Assistant Professor, Department of Computer Science and Engineering
Government College of Technology Coimbatore

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Expertise

  • Computer Science Information Systems

Publications

Total Articles 6
Books 0
Proceedings 0

Publications

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Scopus

Citations 39
h-index 2

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Citations 0
h-index 0
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Bio

Computer Science Information Systems

Personal Details

  • Female
  • Assistant Professor , Government College of Technology Coimbatore
  • Department of Computer Science and Engineering, Government College of Technology, Coimbatore
M.E.
Other Institute 2011
Assistant Professor Apr 2013 – Present
Government College of Technology Coimbatore | Department of Computer Science and Engineering

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Scholarly Work

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Scholarly Publications

Time Cluster Personalized Ranking Recommender System in Multi-Cloud

Open Access
journal-article
Year: 2023. Volume: 11 , Issue: 6 .
Authors: S. Abinaya;K. Indira;S. Karthiga;T. Rajasenbagam
DOI 10.3390/math11061300

Classification of Cotton Weeds in the Cotton Farms Using Deep Transfer Learning Techniques

Open Access
Book Chapter
Year: 2023. Volume: 612 , Pages: 579-586 .
Authors: Ganesan Hari Krishnan ., Thiyagarajan Rajasenbagam .,
DOI 10.1007/978-981-19-9228-5_49

Enhanced Visual Analytics Technique for Content-Based Medical Image Retrieval

Open Access
Article
Year: 2022. Volume: 10 , Issue: 2 , Pages: 93-99 .
Authors: S. Abinaya ., T. Rajasenbagam .,
DOI 10.37391/IJEER.100207
6

Floor Plan Designer Application by Predicting Spatial Configuration Using Machine Learning

Open Access
Book Chapter
Year: 2022. Volume: 191 , Pages: 665-673 .
Authors: Rajasenbagam T.;Jeyanthi S.;Uma Maheswari N.
DOI 10.1007/978-981-16-0739-4_63
1

Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques

Open Access
Article
Journal of Ambient Intelligence and Humanized Computing. Year: 2021.
Authors: T. Rajasenbagam ., S. Jeyanthi ., J. Arun Pandian .,
DOI 10.1007/s12652-021-03075-2
31

Enhanced detection of internet water army based on supernetwork theory

Open Access
Conference Paper
Year: 2020.
Authors: D. Hamithra Jothi ., T. Rajasenbagam M. E. .,
DOI 10.1109/ICCCI48352.2020.9104079
1