Ministry of Education
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Dr S T Shenbagavalli

vidwan id: 368627
Female

Assistant Professor, Department of Computer Science and Engineering
PSNA College of Engineering and Technology

Orchid Icon 0009-0005-0584-7846 Google Scholar Icon 57189211463 Researcher Icon HTS-4860-2023 Google Scholar Icon cQaWHgMAAAAJ

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 20
Books 0
Proceedings 0

Publications

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Scopus

Citations 16
h-index 3

CrossRef

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Citations 3
h-index 1
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Professional Recognition

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Community & Membership

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Bio

Department of Computer Science and Engineering

Personal Details

  • Female
  • Assistant Professor , PSNA College of Engineering and Technology
  • Department of Computer Science and Engineering, PSNA College of Engineering and Technology
Ph.D
Other Institute 2024
ME
Other Institute 2013
BE
Other Institute 2010
Assistant Professor Jun 2014 – Present
PSNA College of Engineering and Technology | Department of Computer Science and Engineering
Visiting Faculty Aug 2013 – Mar 2014
Anna University | Department of Computer Science and Engineering

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Co-Authors (10)

Dumpala

Dr Dumpala Shanthi

Vignan's Institute of Engineering for Women, Kapujaggarupeta, Vadlapudi Post, Gajuwaka, PIN-530049(CC-NM)

K

Dr K Gayathri

PSNA College of Engineering and Technology

Indumathi

Ms Indumathi N

PSNA College of Engineering and Technology

Indumathi

Prof Indumathi Nallathambi

S R M Institute of Science & Technology, Chennai

Jayanthi

Jayanthi M

PSNA College of Engineering and Technology

Naganandhini

Naganandhini S

PSNA College of Engineering and Technology

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S Santhana Prabha

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Dr Shanthi D

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Scholarly Work

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Scholarly Publications

A Robust Deep Learning Approach for Tomato Crop Disease Prediction Using R-FCN

Open Access
Conference Paper
Year: 2024. Volume: 864 , Pages: 361-371 .
Authors: Shenbagavalli S.T.;Shanthi D.
DOI 10.1007/978-981-99-8628-6_31

Optimized deep belief network and unsupervised deep learning methods for disease prediction

Open Access
Article
Journal of Intelligent and Fuzzy Systems. Year: 2023. Volume: 45 , Issue: 6 , Pages: 9571-9589 .
Authors: Shenbagavalli S.T.;Shanthi D.
DOI 10.3233/JIFS-224370
1

An Efficient Sentiment Analysis of Online Film Reviews using RNN-LSTM Architecture

Open Access
article
Year: 2023. Pages: 2133-2139 .
Authors: S. T. Shenbagvalli ,D. Shanthi ,T. Yogameera

A satin optimized dynamic learning model (SODLM) for sentiment analysis using opinion mining

Open Access
Article
Social Network Analysis and Mining. Year: 2023. Volume: 13 , Issue: 1 .
Authors: Shanthi D.;Prabha S.S.;Indumathi N.;Naganandhini S.;Shenbagavalli S.T.;Jayanthi M.
DOI 10.1007/s13278-023-01114-8
3

Plant Leaf Disease Prediction Using Deep Dense Net Slice Fragmentation and Segmentation Feature Selection Using Convolution Neural Network

Open Access
Article
International Journal of Intelligent Systems and Applications in Engineering. Year: 2023. Volume: 11 , Issue: 6s , Pages: 76-85 .
Authors: Jana S.;Thilagavathy S.D.;Shenbagavalli S.T.;Srividhya G.;Gowtham Prasad T.V.S.;Hemavathy R.
3

An Efficient Sentiment Analysis of Online Film Reviews using RNN-LSTM Architecture

Open Access
Conference Paper
Year: 2023. Volume: 2023-June , Pages: 2133-2139 .
Authors: Shenbagvalli S.T.;Shanthi D.;Yogameera T.

SOFTWARE BASED PREDICTION OF LIVER DISEASE USING MACHINE LEARNING TECHNIQUES

Open Access
article
Year: 2022. Volume: 29 , Pages: 37-42 .
Authors: A.J.R. Bewin , N. Sathishkumar , B. Sureshkannan, A.Velmurugan , S.T.Shenbagavalli

Plant Leaf Disease Prediction Using Deep Dense Net Slice Fragmentation and Segmentation Feature Selection Using Convolution Neural Network

Open Access
journal-article
Year: 2022.
Authors: