Cargando…
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network
Wireless acoustic sensor networks are nowadays an essential tool for noise pollution monitoring and managing in cities. The increased computing capacity of the nodes that create the network is allowing the addition of processing algorithms and artificial intelligence that provide more information ab...
Autores principales: | Navarro, Juan M., Martínez-España, Raquel, Bueno-Crespo, Andrés, Martínez, Ramón, Cecilia, José M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038967/ https://www.ncbi.nlm.nih.gov/pubmed/32046231 http://dx.doi.org/10.3390/s20030903 |
Ejemplares similares
-
Edge-Computing Meshed Wireless Acoustic Sensor Network for Indoor Sound Monitoring
por: Caro-Via, Selene, et al.
Publicado: (2022) -
Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks
por: Przybył, Krzysztof, et al.
Publicado: (2020) -
Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors
por: Alaie, Seyedhamidreza, et al.
Publicado: (2023) -
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks
por: Arsov, Mirche, et al.
Publicado: (2021) -
Connecting reservoir computing with statistical forecasting and deep neural networks
por: Jaurigue, Lina, et al.
Publicado: (2022)