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Descripción

“This is a pre-copyedited version of a contribution published in Marques P., Radwan A., Mumtaz S., Noguet D., Rodriguez J., Gundlach M. (eds) Cognitive Radio Oriented Wireless Networks published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-76207-4_23 "

Pertenece a

Repositório do Instituto Politénico de Castelo Branco  

Autor(es)

Torres, Pedro -  Marques, Hugo -  Marques, Paulo -  Rodriguez, Jonathan - 

Id.: 71283265

Idioma: eng  - 

Versión: 1.0

Estado: Final

Palabras claveLTE - 

Tipo de recurso: bookPart  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: restrictedAccess

Requerimientos técnicos:  Browser: Any - 

Relación: [References] 17787 POCI-01-0247-FEDER-MUSCLES
[References] https://link.springer.com/chapter/10.1007/978-3-319-76207-4_23

Fecha de contribución: 10-may-2018

Contacto:

Localización:
* Torres, Pedro [et.al.] (2018) - Using deep neural networks for forecasting cell congestion on LTE networks: a simple approach. In: Marques, P. [et al.] (eds) -Cognitive radio oriented wireless networks. CrownCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228. Cham: Springer. p. 276-286
* 978-3-319-76206-7

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