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Listar por palabra clave "Mobile crowdsensing"

Mostrando ítems 1-5 de 5

A methodology for evaluating digital contact tracing apps based on the COVID-19 experience

Hernández-Orallo, Enrique; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cano, Juan-Carlos (Nature Publishing Group, 2022-07-26)

[EN] Controlling the spreading of infectious diseases has been shown crucial in the COVID-19 pandemic. Traditional contact tracing is used to detect newly infected individuals by tracing their previous contacts, and by ...
Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications

Hernández-Orallo, Enrique; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cano, Juan-Carlos; Manzoni, Pietro (MDPI AG, 2020-10)

[EN] One of the strategies to control the spread of infectious diseases is based on the use of specialized applications for smartphones. These apps offer the possibility, once individuals are detected to be infected, to ...
GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing

Zamora-Mero, Willian Jesus; Vera, Elsa; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cano, Juan-Carlos; Manzoni, Pietro (MDPI AG, 2018)

[EN] Noise pollution is an emerging and challenging problem of all large metropolitan areas, affecting the health of citizens in multiple ways. Therefore, obtaining a detailed and real-time map of noise in cities becomes ...
Modelado y análisis económicos de servicios de "crowdsensing" móvil

Wang, Tianyi (Universitat Politècnica de València, 2017-12-12)

The proliferation of mobile devices with rich embedded sensors (e.g., smartphones, tablets, and sensor-equipped vehicles) has enabled a novel and fast-growing sensing paradigm known as Mobile CrowdSensing (MCS), in which ...
Optimising data diffusion while reducing local resources consumption in Opportunistic Mobile Crowdsensing

Hernández-Orallo, Enrique; Borrego, Carlos; Manzoni, Pietro; Marquez Barja, Johann M.; Cano, Juan-Carlos; Tavares De Araujo Cesariny Calafate, Carlos Miguel (Elsevier, 2020-09)

[EN] The combination of Mobile Crowdsensing (MCS) with Opportunistic Networking (Opp-Net) allows mobile users to share sensed data easily and conveniently without the use of fixed infrastructure. OppNet is based on ...