Vascular Innovation Science

Vascular Innovation Science

Anurag Pandey

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Alpika Tripathi

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Dr. Geetika Srivastava

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α Amity University

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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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Anurag Pandey. 2015. \u201cVascular Innovation Science\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E2): .

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GJCST Volume 15 Issue E2
Pg. 7- 11

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-E Classification: D.4.6

Submission ReceivedFebruary 7, 2015
Peer Review Double Blind
Handling Editor
Accepted March 3, 2015
Published March 15, 2015

Version of record

v1.2

Issue date

May 29, 2015

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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): 255

Total Views (Real + Logic): 7968

Total Downloads (simulated): 2142

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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Month 11: 32 views
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Month 128: 29 views
Month 129: 32 views
Month 130: 29 views
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Total Views: 7968

Total Downloads: 2142

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