Machine Learning for Environmental Noise Classification in Smart Cities

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We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes ...

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We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes ...

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  • Formats: pdf
  • ISBN: 9783031546679
  • Publication Date: 21 Mar 2024
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM