Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …

The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Social Internet of Vehicles (SIoV) is a new paradigm that enables social relationships among
vehicles by integrating vehicle-to-everything communications and social networking …

Fog computing has been an effective paradigm of real-time applications in the IoT area,
which enables task offloading at network edge devices. Particularly, many emerging …

This paper reviews the use of outlier detection approaches in urban traffic analysis. We
divide existing solutions into two main categories: flow outlier detection and trajectory outlier …

Accurate spatio-temporal traffic forecasting serves as the basis of dynamic strategy and
applications for intelligent transportation systems, which is of great practical significance for …

Abstract A Vehicular Social Network (VSN) is an emerging field of communication where
relevant concepts are being borrowed from two different disciplines, ie, vehicular ad-hoc …

This paper addresses a local minima problem for multiple unmanned aerial vehicles (UAVs)
in the process of collision avoidance by using the artificial potential field method, thereby …

Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …