Vascular Innovation Science

Vascular Innovation Science

Article ID

CSTNWSTX1E3

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Vascular Innovation Science

Anurag Pandey Amity University Lucknow Campus

Alpika Tripathi

Dr. Geetika Srivastava

DOI

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Abstract

Vascular Innovation science are a standout amongst the most approaching innovations which is very secure. In this paperi introduces a study of machine learning techniques utilized for Vascular innovation development applications, and distinguishes significant exploration issues. Basic mission assets and applications require instruments to recognize when honest to goodness clients attempt to abuse their benefits; unquestionably biometrics serves to give such administrations.

Vascular Innovation Science

Authors

Anurag Pandey Amity University Lucknow Campus

Alpika Tripathi

Dr. Geetika Srivastava

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References

How to Cite

Anurag Pandey. 2015. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 15 Issue E2
Pg. 7- 11

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Classification

GJCST-E Classification: D.4.6

Submission Received February 7, 2015
Accepted March 3, 2015
Published March 15, 2015

Keywords

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Anurag Pandey, Alpika Tripathi, Dr. Geetika Srivastava (PhD/Dr. count: 1)

View Count (all-time): 217

Total Views (Real + Logic): 7906

Total Downloads (simulated): 2131

Publish Date: 2015 05, Fri

Monthly Totals (Real + Logic):

Month 1: 35 views
Month 2: 46 views
Month 3: 49 views
Month 4: 52 views
Month 5: 37 views
Month 6: 28 views
Month 7: 44 views
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Total Views: 7906

Total Downloads: 2131

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