Feature selection for proximity estimation in COVID-19 contact tracing apps based on Bluetooth Low Energy (BLE)

During the COVID-19 pandemic, contact tracing apps based on the Bluetooth Low Energy (BLE) technology found in smartphones have been deployed by multiple countries despite BLE’s debatable performance for determining close contacts among users. Current solutions estimate proximity based on a single f...

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Veröffentlicht in:	Pervasive and mobile computing 2021-10, Vol.77, p.101474-101474, Article 101474
Hauptverfasser:	Madoery, Pablo G., Detke, Ramiro, Blanco, Lucas, Comerci, Sandro, Fraire, Juan, Gonzalez Montoro, Aldana, Bellassai, Juan Carlos, Britos, Grisel, Ojeda, Silvia, Finochietto, Jorge M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Bluetooth Computer Science Contact tracing COVID-19 Feature selection Machine learning Proximity estimation
Online-Zugang:	Volltext
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