Vascular Innovation Science

Authors

  • Anurag Pandey

  • Alpika Tripathi

  • Dr. Geetika Srivastava

Keywords:

authentication, palm, security, individual, access, technology, unsupervised learning, SCADA

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.

How to Cite

Vascular Innovation Science. (2015). Global Journal of Computer Science and Technology, 15(E2), 7-11. https://testing.computerresearch.org/index.php/computer/article/view/1145

References

Vascular Innovation Science

Published

2015-01-15

How to Cite

Vascular Innovation Science. (2015). Global Journal of Computer Science and Technology, 15(E2), 7-11. https://testing.computerresearch.org/index.php/computer/article/view/1145