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Crowdsensing

Crowdsensing is a technique where a large group of individuals collectively share sensor data from any sensor-equipped devices and enable extraction… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Among the emerging concepts in the context of IoT, crowdsourcing, and crowdsensing are known as two critical building blocks on… Expand
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Highly Cited
2017
Highly Cited
2017
Fog-based vehicular crowdsensing is an emerging paradigm where vehicles use onboard sensors to collect and share data with the… Expand
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Highly Cited
2016
Highly Cited
2016
Smartphones are programmable and equipped with a set of cheap but powerful embedded sensors, such as accelerometer, digital… Expand
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Highly Cited
2016
Highly Cited
2016
Sensing cost and data quality are two primary concerns in mobile crowd sensing. In this article, we propose a new crowd sensing… Expand
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Highly Cited
2014
Highly Cited
2014
Crowdsensing technologies are rapidly evolving and are expected to be utilized on commercial applications such as location-based… Expand
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Highly Cited
2014
Highly Cited
2014
This paper proposes a novel participant selection framework, named CrowdRecruiter, for mobile crowdsensing. CrowdRecruiter… Expand
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Highly Cited
2013
Highly Cited
2013
This article investigates how and to what extent the power of collective although imprecise intelligence can be employed in smart… Expand
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Highly Cited
2013
Highly Cited
2013
Mobile crowdsensing is becoming a vital technique for environment monitoring, infrastructure management, and social computing… Expand
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Highly Cited
2013
Highly Cited
2013
Crowd-enabled place-centric systems gather and reason over large mobile sensor datasets and target everyday user locations (such… Expand
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Highly Cited
2012
Highly Cited
2012
Automated and scalable approaches for understanding the semantics of places are critical to improving both existing and emerging… Expand
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