Ministry of Education
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Dr Geeitha S

vidwan id: 292100
Female

Assistant Professor, Department of Information Technology
M Kumarasamy College of Engineering, Karur

Orchid Icon 0000-0001-9157-4971 Google Scholar Icon 57204098624 Researcher Icon AAY-8898-2021 Google Scholar Icon cICOVX4AAAAJ

Expertise

  • Computer Science Information Systems

Publications

Total Articles 10
Books 0
Proceedings 0

Publications

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Scopus

Citations 89
h-index 4

CrossRef

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Citations 58
h-index 4
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Professional Recognition

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Community & Membership

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Bio

Data Mining, Machine Learning

Personal Details

  • Female
  • Assistant Professor , M Kumarasamy College of Engineering, Karur
  • Thalavapalayam
PhD
Other Institute 2020
Assistant Professor Jul 2021 – Present
M Kumarasamy College of Engineering, Karur | Department of Information Technology
Assistant Professor Jul 2021 – Present
M Kumarasamy College of Engineering, Karur | Department of Information Technology

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Co-Authors (11)

Anand

Dr Anand L

S R M Institute of Science & Technology, Chennai

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Dr Hemamalini Venkatesan

S R M Institute of Science & Technology, Chennai

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Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Bharat Bhushan

Dr Bharat Bhushan Sharma

JSS Academy of Technical Education, Noida

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Dr Natrayan L

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Dr Rajesh Manoharan

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Mr Sudhakar M

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Dr Thangamani M

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Dr Vinoth Kumar K

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Scholarly Work

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Scholarly Publications

Designing and implementing a smart transplanting framework using programmable logic controller and photoelectric sensor

Open Access
Article
Energy Reports. Year: 2022. Volume: 8 , Pages: 430-444 .
Authors: Sharma B.B.;Raffik R.;Chaturvedi A.;Geeitha S.;Akram P.S.;Natrayan L.;Mohanavel V.;Sudhakar M.;Sathyamurthy R.
DOI 10.1016/j.egyr.2022.07.019
2 35

Integrating bio medical sensors in detecting hidden signatures of COVID-19 with Artificial intelligence

Open Access
Article
Year: 2022. Volume: 194 .
Authors: Hemamalini V.;Anand L.;Nachiyappan S.;Geeitha S.;Ramana Motupalli V.;Kumar R.;Ahilan A.;Rajesh M.
DOI 10.1016/j.measurement.2022.111054
16 17

Artificial Neural Network Approach in Detecting and Predicting Epileptic Seizure

Open Access
Conference Paper
Year: 2022. Pages: 54-59 .
Authors: Geeitha S.;Divyabharathy S.;Elakkiya P.;Roshini B.;Sankavi M.
DOI 10.1109/ICAAIC53929.2022.9793264

Integrating HSICBFO and FWSMOTE algorithm-prediction through risk factors in cervical cancer

Open Access
Article
Journal of Ambient Intelligence and Humanized Computing. Year: 2021. Volume: 12 , Issue: 3 , Pages: 3213-3225 .
Authors: Geeitha S.;Thangamani M.
DOI 10.1007/s12652-020-02194-6
3 2

Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer

Open Access
journal-article
IEEE Access. Year: 2021. Volume: 9 , Pages: 83876-83886 .
Authors:
DOI 10.1109/ACCESS.2021.3087022
9

A cognizant study of machine learning in predicting cervical cancer at various levels-a data mining concept

Open Access
Article
Year: 2020. Volume: 11 , Issue: 1 , Pages: 23-28 .
Authors: Geeitha S.;Thangamani M.
2

Feasible analysis of gene expression –a computational based classification for breast cancer

Open Access
Article
Year: 2019. Volume: 140 , Pages: 120-125 .
Authors: Nandagopal V.;Geeitha S.;Kumar K.V.;Anbarasi J.
16 23

Qualitative analysis for improving prediction accuracy in Parkinson's disease detection using hybrid technique

Open Access
Article
Journal of Computational and Theoretical Nanoscience. Year: 2019. Volume: 16 , Issue: 2 , Pages: 393-399 .
Authors: Geeitha S.;Thangamani M.
DOI 10.1166/jctn.2019.7738
1 1