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pro vyhledávání: '"Righini, Davide"'
A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power Line Communications (PLC). We firstly and briefly describe classical f
Externí odkaz:
http://arxiv.org/abs/1904.11949
Autor:
Righini, Davide, Tonello, Andrea M.
The market projection for Internet of Things (IoT) systems is appealing for the Power Line Communication (PLC) technology. A massive growth and a pervasive presence of these IoT objects is expected in our everyday life. About 20 billion of IoT device
Externí odkaz:
http://arxiv.org/abs/1812.03102
Autor:
Righini, Davide, Tonello, Andrea M.
This paper focuses on MIMO Power Line Communication (PLC) to provide increased performance. In MIMO PLC, appropriate coupling methods are necessary in order to enable the effective injection of the signal through the broad band PLC channel so that hi
Externí odkaz:
http://arxiv.org/abs/1802.04716
Power distribution grids are exploited by Power Line Communication (PLC) technology to convey high frequency data signals. The natural conformation of such power line networks causes a relevant part of the high frequency signals traveling through the
Externí odkaz:
http://arxiv.org/abs/1709.09939
Autor:
Galgaro, Antonio, Santa, Giorgia Dalla, Cultrera, Matteo, Bertermann, David, Mueller, Johannes, De Carli, Michele, Emmi, Giuseppe, Zarrella, Angelo, Di Tuccio, Maria, Pockelé, Luc, Mezzasalma, Giulia, Psyk, Mario, Righini, Davide, Bernini, Michele, Bernardi, Adriana
Publikováno v:
In Energy Procedia September 2017 125:511-519
Autor:
Righini, Davide
Publikováno v:
Arte Lombarda, 2004 Jan 01142 (3), 69-77.
Externí odkaz:
https://www.jstor.org/stable/43133205
Autor:
Righini, Davide
Publikováno v:
Renaissance Quarterly, 2017 Jan 01. 70(4), 1535-1536.
Externí odkaz:
https://www.jstor.org/stable/26560656