Mobile Crowd Sensing (MCS) enables the platform to offer data-based service by
incentivizing mobile users to perform sensing task and collecting sensing data from them …

In this work, we propose a hybrid big skin regions detection approach for adult image
identification which is composed of color filtering, texture filtering and geometry filtering three …

Some user needs can only be met by leveraging the capabilities of others to undertake
particular tasks that require intelligence and labor. Crowdsourcing such capabilities is one …

Generally, in crowdsourcing, providers advertise their task offerings (ie the open call model)
largely to crowdworkers who subscribe their interest in working (ie subscription model). The …

When leveraging the crowd to perform complex tasks, it is imperative to identify the most
effective worker for a particular job. Demographic profiles provided by workers, skill self …

While the crowd sourcing paradigm facilitates the use of human-enacted resources from
large groups of individuals, matching workers with jobs is limited by the need for these …

Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of
Things (IoTs) due to the proliferation of smart devices (eg, smartphones, wearable devices) …

Crowdsourcing labor market platforms consist of a variety of jobs spanning multiple problem
domains and their respective specialized or diverse worker pools. Each platform currently …

Most of the existing works on MCS only consider designing incentive mechanisms for a
single MCS platform. In this chapter, we study the incentive mechanism in MCS with multiple …

The purpose of this study was to identify the main concern of jobseekers and recruitment
agencies in electronic recruitment (e-recruitment) and determine how it was resolved. The …