15 citations · 35 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic
Xiangpeng Wan, Michael C. Lucic, Hakim Ghazzai +1
Currently, the world is in the midst of a severe global pandemic, which has affected all aspects of people's lives. As a result, there is a deluge of COVID-related digital media ar…
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 Social IoT-driven Pedestrian Routing Approach during Epidemic Time
Abdullah Khanfor, Hamdi Friji, Hakim Ghazzai +1
The unprecedented worldwide spread of coronavirus disease has significantly sped up the development of technology-based solutions to prevent, combat, monitor, or predict pandemics…