Ministry of Education
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Dr Punithavathi R

vidwan id: 497700
Female

Professor, Department of Artificial Intelligence and Data Science
Chettinad College of Engineering & Technology

Orchid Icon 0000-0002-2537-8152 Google Scholar Icon 26428382900 Researcher Icon G-7563-2017 Google Scholar Icon BrPX6wgAAAAJ

Expertise

  • Computer Science Information Systems

Publications

Total Articles 26
Books 0
Proceedings 0

Publications

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Scopus

Citations 204
h-index 8

CrossRef

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Citations 157
h-index 8
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Community & Membership

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Computer Society of India

1995
Life

ISTE

1995
Life

Bio

Machine Learning Deep Learning Data Analytics

Personal Details

  • Female
  • Professor , Chettinad College of Engineering & Technology
  • Department of Artificial Intelligence and Data Science, Chettinad College of Engineering and Technology
Ph.D
Other Institute 2012
Professor Feb 2024 – Present
Chettinad College of Engineering & Technology | Department of Artificial Intelligence and Data Science

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Organisations (71+)

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Dr Balasubramanian Bose

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Sathish

Sathish Kumar

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Mr Akbarali A

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Anitha

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Dr Kanchana A

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Kanimozhi

Kanimozhi Arumugam

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Jothisparan

Mr Jothisparan S

Deputy Librarian

Rajkumar

Mr Rajkumar R

Associate Professor

Co-Authors (8)

Ramalingam

Dr Ramalingam A

Sri Manakula Vinayagar Engineering College

Avudaiappan

Dr Avudaiappan T

K.Ramakrishnan College of Technology(New)

Delphin Carolina Rani

Dr Delphin Carolina Rani A

Saranathan College of Engineering, Tiruchirappalli

Latha

Dr Latha Rajagopalan

N/A

Premkumar

Dr Premkumar M

Dayananda Sagar College of Engineering, BANGALORE

Jothilakshmi

Dr Jothilakshmi R

R M D Engineering College

Balamurugan

Dr Balamurugan S P

Annamalai University

Thenmozhi

Dr Thenmozhi S

Dayananda Sagar College of Engineering, BANGALORE

Scholarly Work

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Scholarly Publications

Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection

Open Access
Article
Year: 2024. Volume: 61 , Issue: 3 .
Authors: Punithavathi R.;Premkumar M.;Sinha G.;Chandrasekaran K.
DOI 10.1016/j.ipm.2024.103654
36 42

Computer Vision and Deep Learning-enabled Weed Detection Model for Precision Agriculture

Open Access
Article
Computer Systems Science and Engineering. Year: 2023. Volume: 44 , Issue: 3 , Pages: 2759-2774 .
Authors: Punithavathi R.;Rani A.D.C.;Sughashini K.R.;Kurangi C.;Nirmala M.;Ahmed H.F.T.;Balamurugan S.P.
DOI 10.32604/csse.2023.027647
24 62

Computer vision and deep learning-enabled weed detection model for precision agriculture

Open Access
article
Computer Systems Science and Engineering. Year: 2023. Volume: 44(3) , Pages: 2759–2774 .
Authors: R. Punithavathi, A. D. C. Rani, K. R. Sughashini, C. Kurangi, M. Nirmala et al.

Suicide Ideation Detection of Covid Patients Using Machine Learning Algorithm

Open Access
Article
Computer Systems Science and Engineering. Year: 2023. Volume: 45 , Issue: 1 , Pages: 247-261 .
Authors: Punithavathi R.;Thenmozhi S.;Jothilakshmi R.;Ellappan V.;Tahzib Ul I.M.
DOI 10.32604/csse.2023.025972
4

Crypto hash based malware detection in iomt framework

Open Access
article
Intelligent Automation & Soft Computing. Year: 2022. Volume: 34(1) , Pages: 559–574 .
Authors: R. Punithavathi, K. Venkatachalam, M. Masud, M. A. AlZain and M. Abouhawwash

Preserving Data by Role based Access Control and Query Auditing System

Open Access
Conference Paper
Year: 2022. Pages: 665-669 .
Authors: Punithavathi R.;Rani A.D.C.;Jamuna K.;Keerthi Veni V.;Poornima K.P.;Raajeshwari K.S.P.
DOI 10.1109/ICSCDS53736.2022.9760836

Robust Node Localization with Intrusion Detection for Wireless Sensor Networks

Open Access
article
Year: 2022. Volume: 33(1) , Pages: 143-156 .
Authors: R. Punithavathi, et al.

Empirical Investigation for Predicting Depression from Different Machine Learning Based Voice Recognition Techniques

Open Access
Article
Evidence-Based Complementary and Alternative Medicine. Year: 2022. Volume: 2022 .
Authors: Punithavathi R.;Sharmila M.;Avudaiappan T.;Raj I.I.;Kanchana S.;Mamo S.A.
DOI 10.1155/2022/6395860
9 8