15 citations · 28 across the 6 of their papers we have counts for
6 papers
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Collaborative Mobile crowdsourcing (CMCS) allows entities, e.g., local authorities or individuals, to hire a team of workers from the crowd of connected people, to execute complex…
Towards Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MC) is an effective way of engaging large groups of smart devices to perform tasks remotely while exploiting their built-in features. It has drawn great atten…
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting
Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha +1
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest and a trending topic in the domain of ubiquitous computing. It has recently drawn substantial attention of th…
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MCS) is the generalized act of outsourcing sensing tasks, traditionally performed by employees or contractors, to a large group of smart-phone users by means…
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local auth…
A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT
Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai +2
Spatial Mobile Crowdsourcing (SMCS) can be leveraged by exploiting the capabilities of the Social Internet-of-Things (SIoT) to execute spatial tasks. Typically, in SMCS, a task req…