A Machine Learning Model for the Identification of the Holy Quran Reciter Utilizing K-Nearest Neighbor and Artificial Neural Networks

doi:10.18576/isl/110410

A Machine Learning Model for the Identification of the Holy Quran Reciter Utilizing K-Nearest Neighbor and Artificial Neural Networks

https://doi.org/10.18576/isl/110410

Copy DOI

Export

Save

Cite

Journal: Information Sciences Letters	Publication Date: Jul 1, 2022
Citations: 8

#Artificial Neural Networks #Neighbor Networks #Quran Reciter #Holy Quran #Machine Learning Model #K-Nearest Neighbor #Learning Model #Machine Learning #Neural Networks

Abstract
Full-Text
Similar Papers

Abstract

Listen

A Machine Learning Model for the Identification of the Holy Quran Reciter Utilizing K-Nearest Neighbor and Artificial Neural Networks

Full Text

Published Version

Check institute access

Open DOI Link

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

More From: Information Sciences Letters

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.

R Discovery Prime

A Machine Learning Model for the Identification of the Holy Quran Reciter Utilizing K-Nearest Neighbor and Artificial Neural Networks