The process of computing a representative trajectory for a set of raw (or even semantically
enriched) trajectories is an attractive solution to minimize several challenges related to …

Massive and redundant vehicle trajectory data are continuously sent to the data center via
vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage …

China's designation of the “21st-century Maritime Silk Road”(MSR) region is of extraordinary
significance to its maritime rights, transportation security, and socio-economic development …

Understanding the movement patterns of collectives, such as flocks of birds or fish swarms,
is an interesting open research question. The collectives are driven by mutual objectives or …

Distance computation between polylines or trajectories is a key point to assess similarity
between geometrical objects. This paper describes a new optimized algorithm to compute …

Trajectory pattern mining is becoming increasingly popular because of the development of
ubiquitous computing technology. Trajectory data contain abundant semantic and …

With the proliferation of neural networks (NN), the need to analyze, and ideally verify, their
behavior becomes more and more pressing. Significant progress has been made in the …

Trajectory data mining and analysis have been largely studied in the past years. These tasks
are complex and non-trivial due to the data volume and heterogeneity. One solution for …

The prediction of FeO content in sinter is important for operators to adjust the raw material
ratio and process parameters. Feature selection is used to choose the original features that …

This paper introduces a novel method for summarizing multipleaspect trajectories (MATs),
addressing challenges posed by their spatial, temporal, and semantic dimensions. Our …