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Dr N C Santosh Kumar Kumar

vidwan id: 197468
Male

Assistant Professor,

Expertise

  • Computer Science Information Systems

Publications

Total Articles 14
Books 0
Proceedings 0

Publications

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Scopus

Citations 37
h-index 3

CrossRef

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Citations 4
h-index 2
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Professional Recognition

2019

National Eligibility Test

National Testing Agency
2012

Andhra Pradesh State Eligibility Test

Government of Andhra Pradesh
2019

Elite in NPTEL Online Certification- "Programming in Java"

Indian Institute of Technology Kharagpur
2019

Elite in NPTEL Online Certification-"Database Management System"

Indian Institute of Technology Kharagpur

Community & Membership

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The Indian Society for Technical Educatio

2013
Life Member

Bio

I have been working in this area since twelve years having expertise in Teaching, Research, and Project Development

Personal Details

  • Male
  • Assistant Professor
  • Kazipet
Ph.D
Other Institute 2024
M.Tech
Other Institute 2008
Assistant Professor Dec 2007 – Present
Unknown Organization

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Organisation (0)

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Co-Authors (8)

Azmeera

Dr Azmeera Srinivas

Kakatiya Institute of Technology and Science

Shailaja

Dr Shailaja K

Anurag University

Vinaykumar

Dr Vinaykumar K

Kakatiya Institute of Technology and Science

Sampath

Dr Sampath Korra

Sri Indu College of Engineering and Technology

Sudharsan

Dr Sudharsan Jayabalan

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Kakatiya Institute of Technology and Science

Scholarly Work

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An Intelligent Single Tool For Clinicians

N C Santosh Kumar
Engineering and Technology Patent No. : 412264 Filed : 06-08-2021
Published : N/A Granted

Asthama Detection: Asthma levels Detection and Alert using IOT- /Based Kit

India
Medical and Health Sciences Application No. : 202111005765 Filed : 11-02-2021
Published : N/A Filed

Scholarly Publications

An Efficient Segmentation of Biomedical Images using Optimized Level Set Method via Enhanced Possibilistic FCM Clustering

Open Access
conference proceedings
Authors: Kama Ramudu, N C Santosh Kumar, Azmeera Srinivas, Ganta Raghotham Reddy

optimized-maximum-principal-curvatures-based-segmentation-of-bloodvessels-from-retinal-images

Open Access
article

An effective segmentation of retinal blood vessels using optimized PCA and morphological operators

Open Access
article
Authors: N C Santosh Kumar, Kama Ramudu, Azmeera Srinivas, V.Tejaswini

Optimization Techniques Are Best Choice to Segment Blood Vessels from Retinal Fundus Images

Open Access
article

An Efficient Segmentation of Retinal Blood Vessels using Singular Value Decomposition and Morphological Operator

Open Access
article

An Effective approach to regression test optimization technique

Open Access
article