Currently, the accurate prediction of social relationships can effectively reduce the decision‐
making burden of users in various service platforms. However, in the big data environment …

In recent years, the proliferation of Connected Autonomous Vehicles (CAV) has
revolutionizing the transportation industry. However, these vehicles often face limitations in …

The advent of federated learning (FL) has presented a viable solution for distributed training
in edge environment, while simultaneously ensuring the preservation of privacy. In real …

With the development of artificial intelligence and autonomous driving technology, the
vehicle-road cooperative control system combined with artificial intelligence technology can …

People all throughout the world have suffered from the COVID-19 pandemic. People can be
infected after brief contact, so how to assess the risk of infection for everyone effectively is a …

This paper proposes a cost-minimization scheduling algorithm for the joint optimization of
task offloading and resource allocation for workflow applications in a mobile edge …

Vehicular edge computing (VEC), which extends the computing, storage, and networking
resources from the cloud center to the logical network edge through the deployment of edge …

IoT devices and applications are growing rapidly as a result of the advancement of IoT
technology. In the case of smart hotels with many IoT devices, the majority of the data …

In artificial intelligence applications of image or speech recognition, data is generally
collected to run the model inference on a streaming basis. Owning to the intensive …

Industrial-metadata service of geo-distributed file systems plays an important role in many
applications, such as supply-chain management, process mining from log files, and …