Results 101 to 110 of about 41,279 (245)

The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems

open access: yesIEEE Access, 2018
With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS.
Zhongyang Chi   +3 more
doaj   +1 more source

Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico. [PDF]

open access: yesInt J Med Inform, 2021
Ruiz-Correa S   +18 more
europepmc   +1 more source

A Privacy Preserving Framework for Worker’s Location in Spatial Crowdsourcing Based on Local Differential Privacy

open access: yesFuture Internet, 2018
With the development of the mobile Internet, location-based services are playing an important role in everyday life. As a new location-based service, Spatial Crowdsourcing (SC) involves collecting and analyzing environmental, social, and other ...
Jiazhu Dai, Keke Qiao
doaj   +1 more source

Wallah: Design and Evaluation of a Task-centric Mobile-based Crowdsourcing Platform [PDF]

open access: gold, 2014
Abhishek Kumar   +4 more
openalex   +1 more source

A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering Tasks

open access: yesApplied Sciences
Mobile apps have revolutionized almost every aspect of our daily lives, shaping the way we shop, learn and work. The transformative and unprecedented impact they have made on our lifestyle and the convenience they have offered have increased their ...
Ghadah Alamer   +2 more
doaj   +1 more source

Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?

open access: yesFrontiers in Aging Neuroscience, 2017
For understanding the heterogeneity of tinnitus, large samples are required. However, investigations on how samples recruited by different methods differ from each other are lacking.
Thomas Probst   +12 more
doaj   +1 more source

Optimized Trust Prediction and Multi-Criteria Framework for Task and Data Collector Selection Using Deep Learning in Ubiquitous Environments

open access: yesIEEE Access
In crowdsourcing and ubiquitous computing environments, efficient task assignment and data collector selection are vital for system performance and profitability.
Ahmed A. A. Gad-Elrab
doaj   +1 more source

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