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Intelligent Classification of Urban Noise Sources Using TinyML: Towards Efficient Noise Management in Smart Cities

Urban noise levels that exceed the World Health Organization (WHO) recommendations have become a growing concern due to their adverse effects on public health. In Bogotá, Colombia, studies by the District Department of Environment (SDA) indicate that 11.8% of the population is exposed to noise level...

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Gardado en:
Principais autores: Maykol Sneyder Remolina Soto, Brian Amaya Guzmán, Pedro Antonio Aya-Parra, Oscar J. Perdomo, Mauricio Becerra-Fernandez, Jefferson Sarmiento-Rojas
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2025-10-01
Series:Sensors
Assuntos:
urban noise
public health
TinyML
acoustic models
ML classification
YAMNet
Acceso en liña:https://www.mdpi.com/1424-8220/25/20/6361
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