Your browser doesn't support javascript.
loading
Intelligent Reflecting Surface-Based Non-LOS Human Activity Recognition for Next-Generation 6G-Enabled Healthcare System.
Saeed, Umer; Shah, Syed Aziz; Khan, Muhammad Zakir; Alotaibi, Abdullah Alhumaidi; Althobaiti, Turke; Ramzan, Naeem; Abbasi, Qammer H.
Afiliação
  • Saeed U; Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK.
  • Shah SA; Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK.
  • Khan MZ; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
  • Alotaibi AA; Department of Science and Technology, College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
  • Althobaiti T; Faculty of Science, Northern Border University, Arar 91431, Saudi Arabia.
  • Ramzan N; School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisely PA1 2BE, UK.
  • Abbasi QH; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Sensors (Basel) ; 22(19)2022 Sep 21.
Article em En | MEDLINE | ID: mdl-36236272
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radar / Atividades Humanas Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radar / Atividades Humanas Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article