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A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning.
Soto, Ismael; Zamorano-Illanes, Raul; Becerra, Raimundo; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A; Alavia, Wilson; García, Verónica; Ijaz, Muhammad; Zabala-Blanco, David.
Affiliation
  • Soto I; CIMTT, Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Zamorano-Illanes R; CIMTT, Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Becerra R; Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile.
  • Palacios Játiva P; Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile.
  • Azurdia-Meza CA; Escuela de Informática y Telecomunicaciones, Universidad Diego Portales, Santiago 8370190, Chile.
  • Alavia W; Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile.
  • García V; CIMTT, Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Ijaz M; Departamento en Ciencia y Tecnología de los Alimentos, de la Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Zabala-Blanco D; Manchester Metropolitan University, Manchester M1 5GD, UK.
Sensors (Basel) ; 23(3)2023 Jan 30.
Article in En | MEDLINE | ID: mdl-36772574
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: Chile
Fulltext
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: Chile