• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

EMPLOYABILITY OF NAIVE BAYES ESTIMATION IN THE DETECTION OF BIRD TYPES

Rishita Tyagi

Manipal University, Jaipur

21 - 24 Vol. 7, Jan-Dec, 2021
Receiving Date: 2021-01-16;    Acceptance Date: 2021-02-05;    Publication Date: 2021-02-10
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Abstract

The goal is to observe which species of bird is available in a sound informational collection using controlled learning. Imagining fruitful computations for bird species requests is a major development toward isolating important normal data from accounts accumulated in the field. Here Naïve Bayes estimation to describe bird voices into different species reliant upon 265 features eliminated from the chipping sound of birds. The hardships in this endeavour included memory of the chiefs, the number of bird species for the machine see, and the tangle in signal-to-clatter extent between the arrangement and the testing sets. So to settle this trouble, we used Naïve Bayes estimation. From this, we got extraordinary accuracy in it. The analysis Naive Bayes got 91.58% precision

    References

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