Trajectory outlier detection is one of the fundamental data mining techniques used to
analyze the trajectory data of the Global Positioning System. A comprehensive literature …

Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

In this study, we combine graph optimization and prediction in a single pipeline to
investigate an innovative convolutional graph-based neural network for urban traffic flow …

Getting the point cloud data from sensors and correctly understanding the scene is the core
of the intelligent transportation system. Point cloud segmentation can help intelligent …

The growing quantities of data allow for advanced analysis. A prime example of it are smart
city applications with forecasting urban traffic flow as a key application. However, data …

The vigorous development of positioning technology and ubiquitous computing has
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …

In recent years, detecting fraud transactions has become a popular research topic because
credit card fraud transactions result in the loss of billions of dollars every year. Therefore, the …

Trajectory data contains rich spatial and temporal information. Turning trajectories into
graphs and then analyzing them efficiently in an AI-empowered way is a representative …

The need for secure and reliable identity management and authentication scheme for
vehicles is becoming increasingly prominent with the digitization of the Intelligent …

Many research areas depend on group anomaly detection. The use of group anomaly
detection can maintain and provide security and privacy to the data involved. This research …