Click Event Sound Detection Using Machine Learning in Automotive Industry-Reference-Cited by-同舟云学术

Click Event Sound Detection Using Machine Learning in Automotive Industry

Published:2020 Issue: Volume: Page:88-103
ISSN:0302-9743
Container-title:Advances in Soft Computing
language:
Short-container-title:

Author:

Espinosa Ricardo^ORCID,Ponce Hiram^ORCID,Gutiérrez Sebastián^ORCID,Hernández Eluney^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-60884-2_7

Reference42 articles.

1. National Institute of Statistics and Geography (INEGI), Collection of sectoral and regional studies. Knowing the Automotive Industry, November 2018

2. Mexican Automotive Industry Association (AMIA), Dialogue with the Automotive Industry (2018)

3. Błaszczyk, A., Zygmańska-Jabłońska, M., Wegner-Czerniak, K., Ogurkowska, M.B.: Evaluating progressive overload changes of the musculoskeletal system in automobile industry workers. Polish J. Environ. Stud. 29(4), 2579–2586 (2020). https://doi.org/10.15244/pjoes/111883

4. Gewohn, M., Beyerer, J., Usländer, T., Sutschet, G.: Smart information visualization for first-time quality within the automobile production assembly line. In: IFAC-PapersOnLine (2018). https://doi.org/10.1016/j.ifacol.2018.08.333

5. Grollmisch, S., Abeßer, J., Liebetrau, J., Lukashevich, H.: Sounding industry: challenges and datasets for industrial sound analysis. In: European Signal Processing Conference (2019). https://doi.org/10.23919/EUSIPCO.2019.8902941

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