Learning-based Pareto-optimum routing of ships incorporating uncertain meteorological and oceanographic forecasts
In modern shipping logistics, multi-objective ship route planning has attracted considerable
attention in both academia and industry, with a primary focus on energy conservation and …
attention in both academia and industry, with a primary focus on energy conservation and …
Vessel speed prediction using latent-invariant transforms in the presence of incomplete information
X Zhao, Y Guo, Y Wang, M Wang - Expert Systems with Applications, 2025 - Elsevier
This paper presents a novel model designed to predict the vessel speed, specifically tailored
to tackle the challenges posed by incomplete information of relevant operating parameters …
to tackle the challenges posed by incomplete information of relevant operating parameters …
Green maritime navigation: A multi-objective voyage optimization approach based on data-driven heuristics and emission awareness
X Zhao, Y Guo, Y Wang - Ocean Engineering, 2025 - Elsevier
The extensive exchange of international products has increased cross-continental deliveries
via maritime routes, inevitably leading to rising greenhouse gas emissions from shipping …
via maritime routes, inevitably leading to rising greenhouse gas emissions from shipping …
KUNPENG: An Embodied Large Model for Intelligent Maritime
N Wang, T Jiang, Y Wang, S Qiu, B Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent maritime, as an essential component of smart ocean construction, deeply
integrates advanced artificial intelligence technology and data analysis methods, which …
integrates advanced artificial intelligence technology and data analysis methods, which …
Machine Learning in Inland Waterway Transportation: A Review of Challenges and Use Cases
Inland waterway transportation (IWT) faces evolving challenges due to increasing vessel
traffic, digitalization, and growing ship sizes. This paper reviews existing literature to identify …
traffic, digitalization, and growing ship sizes. This paper reviews existing literature to identify …