Artificial Heart Neural Networks – An Idea

satish_gajawada
satish_gajawada
Satish Gajawada
Satish Gajawada
Arun Kumar
Arun Kumar
Dr. Maria Celestina Vanaja
Dr. Maria Celestina Vanaja
Baby Supriya Sri Valikala
Baby Supriya Sri Valikala
Indian Institute of Technology Roorkee Indian Institute of Technology Roorkee

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Artificial Heart Neural Networks – An Idea

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Abstract

The heart and Brain are very important for the survival of Humans. Research Scientists published many articles by giving importance to Brain. But scientists have not yet explored much on the Heart which is another important part in addition to the Brain. The primary purpose of publishing this article is to show a path to ANN field Research Scientists by introducing the concept of “Heart” into

References

1 Cites in Article
  1. Anh Nguyen,Jason Yosinski,Jeff Clune (2014). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

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

satish_gajawada. 2021. \u201cArtificial Heart Neural Networks – An Idea\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 21 (GJCST Volume 21 Issue D1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-D Classification I.2.6
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v1.2

Issue date
March 25, 2021

Language
en
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Artificial Heart Neural Networks – An Idea

Satish Gajawada
Satish Gajawada
Arun Kumar
Arun Kumar
Dr. Maria Celestina Vanaja
Dr. Maria Celestina Vanaja
Baby Supriya Sri Valikala
Baby Supriya Sri Valikala

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