Ministry of Education
Indumathi V
VIDWAN ID: 393386

Mrs Indumathi V

Female Master of Technology
Teaching Associate | Department of Computational Intelligence - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
ORCID 0000-0002-3579-7617 Scopus 57204782595 Google Scholar 3SGhlzQAAAAJ
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5 Publications
0 Projects
28 Scopus Citations
29 CrossRef
3 Years 6 Months Total Experience
Publications
5 Total
Articles
5
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Scopus Scopus
28 Citations
3 h-index
CrossRef CrossRef
29 Citations
3 h-index
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Personal Details

Master of Technology
2009
SRI SRI UNIVERSITY
Bachelor of Engineering
2006
Sultan Qaboos University, Muscat
Teaching Associate
Mar 2023 – Present
SRM Institute of Science and Technology | Department of Computational Intelligence - KTR
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Publications

Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach

Journal Article
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. Year: 2022. Volume: 32 , Issue: 3 , Pages: 843-856 .
Authors: Muruganantham Manickam; Rathinavelayutham Siva; Saravanan Prabakeran; Kannan Geetha; Varadharajan Indumathi; Thirumaaran Sethukarasi
DOI 10.1002/ima.22669 Crossref Crossref: 13 Scopus Scopus: 14

Authentic novel trust propagation model with deceptive recommendation penalty scheme for distributed denial of service attacks

Journal Article
Journal of Computational and Theoretical Nanoscience. Year: 2018. Volume: 15 , Issue: 6-7 , Pages: 2383-2389 .
Authors: Prabakeran Saravanan; T Sethukarasi; V Indumathi
DOI 10.1166/jctn.2018.7474 Crossref Crossref: 7 Scopus Scopus: 5

An efficient software defined network based cooperative scheme for mitigation of distributed denial of service (DDoS) attacks

Journal Article
Journal of Computational and Theoretical Nanoscience. Year: 2018. Volume: 15 , Issue: 6-7 , Pages: 2221-2226 .
Authors: Prabakeran Saravanan; T Sethukarasi; V Indumathi
DOI 10.1166/jctn.2018.7440 Crossref Crossref: 6 Scopus Scopus: 4

In-depth survey to perceiving the effect of kidney dialysis parameters using clustering framework

Journal Article
Journal of Computational and Theoretical Nanoscience. Year: 2018. Volume: 15 , Issue: 6 , Pages: 2233-2237 .
Authors: Indumathi, V.; Ganesan, R.; Amuthadevi, C.; Prabakeran, S.
DOI 10.1166/jctn.2018.7442 Crossref Crossref: 2 Scopus Scopus: 3

Utilizing data mining classification technique to predict kidney diseases

Journal Article
Journal of Computational and Theoretical Nanoscience. Year: 2018. Volume: 15 , Issue: 6 , Pages: 2193-2196 .
Authors: Ganesan, R.; Indumathi, V.; Umamaheswari, R.
DOI 10.1166/jctn.2018.7435 Crossref Crossref: 1 Scopus Scopus: 2