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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…
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Crowdsourcing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Source reputation assessment in an IoT-based vehicular traffic monitoring system
Jernej Mihelj
,
A. Kos
,
Urban Sedlar
International Conference on Identification…
2018
Corpus ID: 62986634
2017
2017
A software architecture for generic human activity recognition from smartphone sensor data
A. Testoni
,
M. D. Felice
IEEE International Workshop on Measurement and…
2017
Corpus ID: 43232802
In these last few years, several recent studies have demonstrated the possibility to perform Human Activity Recognition (HAR) by…
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2017
2017
Towards a Unified Spatial Crowdsourcing Platform
C. Jonathan
,
M. Mokbel
International Symposium on Spatial and Temporal…
2017
Corpus ID: 6201929
This paper provides the vision of a unified spatial crowdsourcing platform that is designed to efficiently tackle different types…
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2016
2016
Fair QoI and energy-aware task allocation in participatory sensing
R. Messaoud
,
Y. Ghamri-Doudane
IEEE Wireless Communications and Networking…
2016
Corpus ID: 941363
Participatory Sensing is an emerging paradigm that enables users carrying sensors-equipped smart devices to gather and share data…
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2016
2016
TCP video streaming and mobile networks: Not a love story, but better with context
Florian Metzger
,
Eirini Liotou
,
Christian Moldovan
,
T. Hossfeld
Comput. Networks
2016
Corpus ID: 38148289
2016
2016
Smartphones as M2M gateways in smart cities IoT applications
Carlos Pereira
,
João G. P. Rodrigues
,
+4 authors
Ana Aguiar
International Conference on Telecommunications
2016
Corpus ID: 29538692
Smart Cities are a key application domain for the Internet of Things (IoT), and it is coming nearer everyday through pilot trials…
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2014
2014
Coordinating Crowd-Sourced Services
Ahmed Abdel Moamen
,
Nadeem Jamali
MS
2014
Corpus ID: 1650121
The growing ubiquity of smartphones and similar personal connected computational devices, each with a number of sensors, has…
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Highly Cited
2013
Highly Cited
2013
Efficient opportunistic sensing using mobile collaborative platform MOSDEN
P. Jayaraman
,
Charith Perera
,
Dimitrios Georgakopoulos
,
A. Zaslavsky
9th IEEE International Conference on…
2013
Corpus ID: 14356939
Mobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google…
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2013
2013
Application deployment for IoT: An infrastructure approach
S. Distefano
,
Giovanni Merlino
,
A. Puliafito
Global Communications Conference
2013
Corpus ID: 30412206
Many current endeavors dealing with IoT and Cloud topics suggest leveraging sensing resources as mere data producers whereas the…
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2013
2013
Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing
Yohan Chon
,
Yunjong Kim
,
H. Cha
International Symposium on Information Processing…
2013
Corpus ID: 160033
A user's location information is commonly used in diverse mobile services, yet providing the actual name or semantic meaning of a…
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