With the advancement of satellite and 5G communication technologies, vehicles can
transmit and exchange data from anywhere in the world. It has resulted in the generation of …

The maritime industry is integral to global trade and heavily depends on precise forecasting
to maintain efficiency, safety, and economic sustainability. Adopting deep learning for …

Carbon monoxide (CO) is a toxic gas emitted during municipal solid waste incineration
(MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of …

Density maps support a bird's eye view of vessel traffic, through providing an overview of
vessel behavior, either at a regional or global scale in a given timeframe. However, any …

Abstract The Automatic Identification System (AIS) enhances maritime safety and
environmental monitoring by providing crucial ship trajectory data. However, this data is …

The wide spread of the Automatic Identification System (AIS) and related tools has motivated
several maritime analytics operations. One of the most critical operations for the purpose of …

In this paper, we present an architecture for mobility data spaces enabling trustworthy and
reliable data operations along with its main constituent parts. The architecture makes use of …

In recent years, the maritime domain has experienced tremendous growth due to the
exploitation of big traffic data. Particular emphasis has been placed on deep learning …

Trajectory forecasting for unmanned aerial vehicle (UAV) serves a crucial role in the
detection and tracking of UAV. However, most existing trajectory sequence forecasting …

Ship trajectory prediction is essential for ensuring safe route planning and to have advanced
warning of the dangers at sea. With the development of deep learning, most of the current …