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LADEA: A Software Infrastructure for Audio Delivery and Analytics

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LADEA: A Software Infrastructure for Audio Delivery and Analytics

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Nakamura, K.; Hernandez, D.; Cecilia-Canales, JM.; Manzoni, P.; Zennaro, M.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM. (2021). LADEA: A Software Infrastructure for Audio Delivery and Analytics. Mobile Networks and Applications (Online). 26(5):2048-2054. https://doi.org/10.1007/s11036-021-01747-z

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Título: LADEA: A Software Infrastructure for Audio Delivery and Analytics
Autor: Nakamura, Kiyoshy Hernandez, Daniel Cecilia-Canales, José María Manzoni, Pietro Zennaro, Marco Cano, Juan-Carlos Tavares De Araujo Cesariny Calafate, Carlos Miguel
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] The LoRa technology enables long distance links with reduced power consumption at low cost, the main limitation being the low bandwidth that it offers. With LoRa, remote locations, like rural areas, can benefit from ...[+]
Palabras clave: LoRa , MQTT , IoT , Sound analytics , Deep learning , Autoenconder
Derechos de uso: Reserva de todos los derechos
Fuente:
Mobile Networks and Applications (Online). (eissn: 1572-8153 )
DOI: 10.1007/s11036-021-01747-z
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11036-021-01747-z
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/
info:eu-repo/grantAgreement/MINECO//RTC-2017-6389-5//Planificación y gestión de recursos hídricos a partir de análisis de datos de IoT/
info:eu-repo/grantAgreement/MICINN//RYC-2018-025580-I//AYUDA ADICIONAL RAMON Y CAJAL/
info:eu-repo/grantAgreement/MICINN//RTC-2019-007159-5//DESARROLLO DE INFRAESTRUCTURAS IOT DE ALTAS PRESTACIONES CONTRA EL CAMBIO CLIMÁTICO BASADAS EN INTELIGENCIA ARTIFICIAL/
info:eu-repo/grantAgreement/Conselleria d'Educació, Investigació, Cultura i Esport de la Generalitat Valenciana//AICO%2F2020%2F302/
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Agradecimientos:
This work has been partially supported by the Spanish Ministry of Science and Innovation, under the Ramon y Cajal Program (Grant No. RYC2018-025580-I) and under grants RTI2018-096384-B-I00, RTC-2017-6389-5 and RTC2019-007159-5, ...[+]
Tipo: Artículo

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