Background: In the context of Warehouse Management Systems, knowledge related to
motion trajectory prediction methods utilizing machine learning techniques seems to be …

Goods and services can be tracked in real-time with smart logistics. Smart logistics have
been utilized by enterprises, transportation applications, and delivery services for some time …

Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

Modern internal logistic systems face several challenges, from supply chain disruption to
mass customization of marketed products. In such a highly dynamic scenario, Internet of …

An extensive literary review is carried out to determine the strategic and business
advantages, and difficulties that non-smart ports must face to develop sustainability. Based …

To address the data storage, management, analysis, and mining of ship targets, the object-
oriented method was employed to design the overall structure and functional modules of a …

In modern workforce management, the demand for new ways to maximize worker
satisfaction, productivity, and security levels is endless. Workforce movement data such as …

The usage of IoT and robots is more and more present in smart farming, and in particular in
agro-ecology since robots are able to provide smart practices and avoid repetitive human …

Abstract A Trajectory Data Warehouse is a central repository of large amount of data
focusing on moving objects, which have been collected and integrated from multiple sources …

Studying trajectories is often a core task in several research fields. In environmental
modeling, trajectories are crucial to study fluid pollution, animal migrations, oil slick patterns …