Digital-twin-enabled cloud-centric architecture is a promising evolution trend of sixth
generation (6G) network, which brings new opportunities and challenges for mobile video …

Efficient methods developed with deep learning in the last ten years have provided
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …

Currently, the booming popularity and growth of mobile devices in urban cities leads to the
surge of various computation-intensive mobile applications, such as virtual reality and online …

The advancements in sensing technologies, smart devices, wearable gadgets, and
communication paradigm enable the vision of the internet of things, smart city, virtual and …

With the advance of mobile edge computing (MEC), the number of edge services running on
mobile devices grows explosively. In this situation, it is becoming a necessity to recommend …

Mobile edge computing is becoming a promising computing architecture to overcome the
resource limitation of mobile devices and bandwidth bottleneck of the core networks in …

The image classification based on cloud computing suffers from difficult deployment as the
network depth and data volume increase. Due to the depth of the model and the convolution …

Over the past years, with the development of hardware and software, the intelligent sensors,
which are deployed in the wearable devices, smart phones, and etc., are leveraged to …

Video‐based moving vehicle detection and tracking is an important prerequisite for vehicle
counting under complex transportation environments. However, in the complex natural …

Mobile crowd sensing (MCS) has become a powerful sensing paradigm that allows
requesters to outsource sensing tasks to a crowd of mobile users. Aware of the paramount …