[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …
learning methods to aid in engineering risk assessment. A keyword search is performed to …
A review on risk assessment methods for maritime transport
Maritime transport is intimately tied to the global economy and trade. Research on maritime
transport risk is of great significance to prevent maritime accidents and enhance the safety of …
transport risk is of great significance to prevent maritime accidents and enhance the safety of …
A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field
L Li, D Wu, Y Huang, ZM Yuan - Applied Ocean Research, 2021 - Elsevier
Improving the autopilot capability of ships is particularly important to ensure the safety of
maritime navigation. The unmanned surface vessel (USV) with autopilot capability is a …
maritime navigation. The unmanned surface vessel (USV) with autopilot capability is a …
Deep reinforcement learning-based collision avoidance for an autonomous ship
Social interest in autonomous navigation systems for autonomous ships is also increasing.
For a robust autonomous navigation system, the location, speed, and direction of the ship …
For a robust autonomous navigation system, the location, speed, and direction of the ship …
Probabilistic risk analysis for ship-ship collision: State-of-the-art
Maritime transportation system has made a significant contribution to the development of the
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …
Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach
Risk analysis is regarded as one of the most critical research topics in maritime industry due
to the nature of work. Validation of risk analysis is a significant challenge for safety …
to the nature of work. Validation of risk analysis is a significant challenge for safety …
Anomaly detection in maritime AIS tracks: A review of recent approaches
The automatic identification system (AIS) was introduced in the maritime domain to increase
the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and …
the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and …
Traffic pattern mining and forecasting technologies in maritime traffic service networks: A comprehensive survey
Maritime traffic service networks and information systems play a vital role in maritime traffic
safety management. The data collected from the maritime traffic networks are essential for …
safety management. The data collected from the maritime traffic networks are essential for …
A novel arena-based regional collision risk assessment method of multi-ship encounter situation in complex waters
Aiming at the problem that it is difficult to accurately quantify ship regional collision risk
under multi-ship encounter situation in complex waters, this paper proposes a novel arena …
under multi-ship encounter situation in complex waters, this paper proposes a novel arena …
[HTML][HTML] Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions
Maritime situational awareness (MSA) has long been a critical focus within the domain of
maritime traffic surveillance and management. The increasing complexities of ship traffic …
maritime traffic surveillance and management. The increasing complexities of ship traffic …