With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Mobile crowd sensing (MCS) with human participants has been proposed as an efficient
way of collecting data for smart cities applications. However, there often exist situations …

The field of intelligent multimedia systems, which rely heavily on multimodal models trained
on large amounts of high-quality data, has been revolutionized by the use of deep learning …

With the rise of the Internet of Things (IoT) and fifth‐generation (5G) networks, which have
led to a surge in data processing and increased data transfer time, traditional cloud …

With the rapid development of Industry 5.0 and mobile devices, the research of mobile
crowdsensing networks has become an important research focus. Task allocation is an …

With rapid development of artificial intelligence (AI) technology, social network (SN) can use
AI to extract useful knowledge of users to improve the quality of peoples lives. Although AI …

Thanks to the increasing number and massive coverage, delivery drones, equipped with
various sensors, have demonstrated significant but unexplored potentials for large-scale …

Abstract Mobile Crowd Sensing (MCS) has been recognized as a promising param to
construct numerous applications by employing enormous workers to perceive and collect …

Emerging crowdsensing paradigm enables a large number of sensing applications, where
much attention is drawn to the fundamental problems for maximizing the system utility and …

Edge computing has been widely applied in video streaming systems, aiming to provide low-
latency video streaming services. However, limited resources and a lack of incentivization …