Driving safety is one of the most important points to concern on the road. Vehicles constantly
generate messages under vehicle-to-everything (V2X) assisted driving. Especially, in dense …

The use of simulation and reinforcement learning can be viewed as a flexible approach to
aid managerial decision-making, particularly in the face of growing complexity in …

To overcome long propagation delays for data exchange between the remote cloud data
center and end devices in Mobile Cloud Computing (MCC), Mobile Edge Computing (MEC) …

The ubiquitous adoption of public clouds has resulted in the bloom of big data, Internet of
Things, and artificial intelligence (AI) and a great capacity for applications. However, the …

An unmanned swarm system (UWS) is a multiagent system that can fulfill task requirements
through autonomous and cooperative behavior strategy learning. However, learning …

Machine learning has made significant progress in image recognition, natural language
processing, and autonomous driving. However, the generation of adversarial examples has …

Abstract Attribute-Based Encryption (ABE) plays an important role in current secure data
sharing through fine-grained customizable policies. However, the existing ABE schemes …

With the advancement of IoT and Smart City, public cloud computing systems are required to
be powerful in data processing and be dependable as a service provider. Thus, reliability …

In order to overcome the data sparsity problem in service description text and to improve the
web service clustering quality, we propose a web service clustering method with semantic …

The computer game is the Drosophila in the field of artificial intelligence. Recently, a series
of computer game systems., such as AlphaGo and AlphaGo Zero, defeating the world …