Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Trajectory similarity measures act as query predicates in trajectory databases, making them
the key player in determining the query results. They also have a heavy impact on the query …

The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …

Electronic maps consist of diverse entities, such as points of interest (POIs), road networks,
and land parcels, playing a vital role in applications like ITS and LBS. Map entity …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Trajectories that capture object movement have numerous applications, in which similarity
computation between trajectories often plays a key role. Traditionally, the similarity between …

Region representations (also called embeddings) are useful for various urban computing
tasks. While graph-based region representation learning methods have shown outstanding …

Large language models (LLMs) are advancing rapidly. Such models have demonstrated
strong capabilities in learning from large-scale (unstructured) text data and answering user …