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A. IMMAGULATE

A. IMMAGULATE

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  • Team worker
  • Goal oriented
  • Flexible & Adaptable
  • Positive Thinking
  • Dedicated & Hardworking

Scholar9 Profile ID

S9-082024-0903464

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Publication

2

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Citations

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Editorial Contribution

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Network

1

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Conferences/Seminar

1

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About

To join an Organization which will help in the development, knowledge, experience and skills in the field of Computer Science and which will also inculcate problem solving abilities.

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skill

Skills

Experience

Experience

Computer Instructor (DCA, DTP & PGDCA)

Bright Institution

Jan-2014 to Jul-2016
Education

Education

P.S.G..R KRISHNAMMAL COLLEGE FOR WOMEN

M.Phil in Computer Science

Passout Year: 2014
Hindusthan College of Arts and Science

M.SC in Computer Science

Passout Year: 2013
BISHOP AMBROSE COLLEGE OF ARTS AND SCIENCE

B.Sc in Computer Science

Passout Year: 2011
P.S.G.R KRISHNAMMAL HIGHER SECONDARY SCHOOL

Higher Secondary in

Passout Year: 2008
ST.PHILOMENAS HIGH SCHOOL

S.S.L.C in

Passout Year: 2006
Publication

Publication

Publication

Role in Research Journals

Projects

Projects

A New change detection alGORITHM FOR VISUal survillance system

Jan-1970 to Jan-1970
Intelligent video surveillance systems deal with the real-time monitoring of persistent and transient objects within a specific environment. An automated video surveillance and alarming system provides surveillance and alerts the security guard of any undesired activity via his cell phone. It would be a promising replacement of traditional human video surveillance system. It provides a high degree of security.
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CATEGORIZATION OF NON-MELANOMA SKIN LESION DISEASES USING SUPPORT VECTOR MACHINE AND ITS VARIANTS

Jan-1970 to Jan-1970
The categorization of non melanoma skin lesion disease is carried out by implementing a powerful pattern classification technique namely Support Vector Machine. Five types of skin lesion diseases are considered in this work and totally 500 images have been collected from database. Various tasks involved in creating the classification model are preprocessing, feature extraction, building models through training and testing the classifier.
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Seminar

Conference/Seminar/STTP/FDP/Symposium/Workshop

Hosted By:

Kongu Engineering College ,

Certificates

Certificates

Membership

Membership

Invited Position

Invited Position

Honours & Awards

Honours & Awards

Doctoral and Master Thesis Guided

Doctoral and Master Thesis Guided

Patent

Patent

Academic Identity

Following

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