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Dr Jeyakumar M K

vidwan id: 58350
Male

Professor, Department of Computer Applications
Noorul Islam Centre for Higher Education

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 54
Books 0
Proceedings 0

Publications

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Scopus

Citations 80
h-index 4

CrossRef

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Citations 28
h-index 3
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Bio

Computer Applications

Personal Details

  • Male
  • Professor , Noorul Islam Centre for Higher Education
  • Department of Computer Applications, Noorul Islam Centre for Higher Education
Ph.D.
Other Institute 2010
Professor Sep 1994 – Present
Noorul Islam Centre for Higher Education | Department of Computer Applications

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Organisations (116+)

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D Arthi

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Co-Authors (4)

Jeyakumar

Dr Jeyakumar M

Christ The King Engineering College

Om Prakash

Dr Om Prakash Samickannu

PPG Institute of Technology

Rajesh

Prof Rajesh R S

Manonmaniam Sundaranar University

Scholarly Work

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Scholarly Publications

Enhanced Cluster Head Selection Approach for small scale and large scale network in WSN for improving energy efficiency

Open Access
Article

Analysis of Lung Tumor Detection using Various Segmentation Techniques

Open Access
Conference Paper
Authors: Arun B. Mathews ., M.K. Jeyakumar .,

Automatic Detection of Segmentation and Advanced Classification Algorithm

Open Access
Conference Paper
Authors: Arun B. Mathews ., M.K. Jeyakumar .,

Foundation steps for a well-defined clinical business intelligence system-an analysis of data warehouse approaches with respect to healthcare data

Open Access
Article

A comparative analysis of data integration and business intelligence tools with an emphasis on healthcare data

Open Access
Article

Multi-objective based adaptive meta-heuristic algorithm for optimal multicast route selection in wireless ad-hoc network

Open Access
Article

Intelligent fuzzy enabled malicious node identification on routing and certificate authority oriented secure communication over wireless ad-hoc network

Open Access
Article
Authors: Rajkumar K.;Jeyakumar M.K.

A proficient satellite image building detection using fuzzy and neural network techniques

Open Access
Article