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GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing

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GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing

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Zamora-Mero, WJ.; Vera, E.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2018). GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing. Sensors. 18(8):1-25. https://doi.org/10.3390/s18082596

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121389

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Title: GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing
Author: Zamora-Mero, Willian Jesus Vera, Elsa Tavares De Araujo Cesariny Calafate, Carlos Miguel Cano, Juan-Carlos Manzoni, Pietro
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Noise pollution is an emerging and challenging problem of all large metropolitan areas, affecting the health of citizens in multiple ways. Therefore, obtaining a detailed and real-time map of noise in cities becomes ...[+]
Subjects: Mobile crowdsensing , Smartphone , Machine learning , Noise-sensing , Smart cities , Weka
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s18082596
Publisher:
MDPI AG
Publisher version: http://doi.org/10.3390/s18082596
Project ID:
info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/
Thanks:
This work was partially supported by Valencia's Traffic Management Department, by the "Ministerio de Economia y Competitividad, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, ...[+]
Type: Artículo

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