Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Maritime industry is the artery of the global economy since it carries around 90% of the
volume of global trade. However, the fierce environmental problems associated with human …

Traditional artificial intelligence (AI) strategies, reliant on manually crafted patterns or task-
specific feature representations, often suffer from overfitting and struggle with the dynamic …

The increasing focus on environmental regulations and the economic advantages of
recycling has spurred interest in the design of multidepot reverse logistics networks …

In this paper, the formation control problem for second-order multi-agent systems with model
uncertainties and actuator saturation is investigated. An estimator-based robust formation …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …

In the realm of autonomous vehicular systems, there has been a notable increase in end-to-
end algorithms designed for complete self-navigation. Researchers are increasingly …

Network-level adaptive signal control is an effective way to reduce delay and increase
network throughput. However, in the face of asymmetric exogenous demand, the increase of …

Abstract Model-based reinforcement learning (RL) is anticipated to exhibit higher sample
efficiency than model-free RL by utilizing a virtual environment model. However, obtaining …