Your browser doesn't support javascript.
loading
Use of Machine Learning for the Estimation of Down- and Up-Link Field Exposure in Multi-Source Indoor WiFi Scenarios.
Tognola, Gabriella; Plets, David; Chiaramello, Emma; Gallucci, Silvia; Bonato, Marta; Fiocchi, Serena; Parazzini, Marta; Martens, Luc; Joseph, Wout; Ravazzani, Paolo.
  • Tognola G; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Plets D; Department of Information Technology, Gent University/IMEC, Gent, Belgium.
  • Chiaramello E; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Gallucci S; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Bonato M; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Fiocchi S; Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.
  • Parazzini M; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Martens L; National Research Council, Institute of Electronics, Computer and Telecommunication Engineering (CNR IEIIT), Milan, Italy.
  • Joseph W; Department of Information Technology, Gent University/IMEC, Gent, Belgium.
  • Ravazzani P; Department of Information Technology, Gent University/IMEC, Gent, Belgium.
Bioelectromagnetics ; 42(7): 550-561, 2021 Oct.
Article en En | MEDLINE | ID: mdl-34298586

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article