Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment
and big data have made it easier and cheaper to collect, store, analyze, use, and …

Mobile edge computing (MEC) yields significant paradigm shift in industrial Internet of things
(IIoT), by bringing resource-rich data center near to the lightweight IIoT mobile devices …

Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile
sensing applications, including human activity recognition, human-computer interaction …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …

Indoor localization is of great importance for a range of pervasive applications, attracting
many research efforts in the past decades. Most radio-based solutions require a process of …

The emergence of cyber-physical-social systems (CPSS) as a novel paradigm has
revolutionized the relationship between humans, computers and the physical environment …