Novel principal component analysis‐based feature selection mechanism for classroom sound classification-Reference-Cited by-同舟云学术

Novel principal component analysis‐based feature selection mechanism for classroom sound classification

Published:2021-05-29 Issue:4 Volume:37 Page:1827-1843
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Tsalera Eleni¹²,Papadakis Andreas²,Samarakou Maria¹

Affiliation:

1. Department of Informatics and Computer Engineering University of West Attica Athens Greece

2. Department of Electrical and Electronics Engineering Educators School of Pedagogical and Technological Education (ASPETE) Athens Greece

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12468

Reference39 articles.

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3. LiparP PrezeljJ ŠteblajP ČudinaM MiheličF.Identification of machinery sounds. Paper presented at: 2013 21st Telecommunications Forum Telfor (TELFOR) Belgrade Serbia: IEEE; November 2013:470‐473.

4. Sound Analysis in Smart Cities

5. TsaleraE PapadakisA SamarakouM.Monitoring profiling and classification of urban environmental noise using sound characteristics and the KNN algorithm. Energy Reports; 2020.

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