Recent years have witnessed a revolution in Spatial Crowdsourcing (SC), in which people
with mobile connectivity can perform spatio-temporal tasks that involve travel to specified …

Collaborative mobile crowdsourcing (CMCS) allows entities, eg, local authorities or
individuals, to hire a team of workers from the crowd of connected people, to execute …

Crowdsourcing has attracted considerable attention in recent years. A large amount of
labelled data can be obtained efficiently and cheaply from the crowdsourcing platform …

Abstract Unlike crowdsourcing, Spatial Crowdsourcing (SC) requires workers to travel to a
specific physical location to accomplish a task. Due to its open concept, the platform accepts …

With the expansion of Artificial Neural Network (ANN), Deep Learning (DL) has brought
interesting turn in the various fields of Artificial Intelligence (AI) by making it smarter and …

With the expansion of Artificial Neural Network (ANN), Deep Learning (DL) has brought
interesting turn in the various fields of Artificial Intelligence (AI) by making it smarter and …

Crowdsourcing with the intelligent agents carrying smart devices is becoming increasingly
popular in recent years. It has opened up meeting an extensive list of real-life applications …

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 …

Spatial crowdsourcing (SC) is gaining popularity owing to the expansion of mobile devices
and internet utilization, enabling cost-effective location-based task completion. However …

Task allocation is a critical issue of spatial crowdsourcing. Although the batching strategy
performs better than the real-time matching mode, it still has the following two drawbacks:(1) …