[HTML][HTML] COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance
Abstract Maritime Autonomous Surface Ships (MASS) face regulatory challenges, with some
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …
[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 …
[HTML][HTML] A data-driven risk model for maritime casualty analysis: A global perspective
Maritime casualty analysis needs to be addressed given the increasing safety demand in the
field due to the accidents' low-frequency and high-consequence features. This paper aims to …
field due to the accidents' low-frequency and high-consequence features. This paper aims to …
Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety
Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human
errors, and to improve maritime traffic safety. However, MASS navigation in complex …
errors, and to improve maritime traffic safety. However, MASS navigation in complex …
[HTML][HTML] Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …
which underpins research in maritime data mining, situational awareness, and knowledge …
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
Efficient forecasting of ship order books holds immense significance in the maritime industry,
enabling companies to optimize their operations, allocate resources effectively, and make …
enabling companies to optimize their operations, allocate resources effectively, and make …
A Dynamic Context-Aware Approach for Vessel Trajectory Prediction Based on Multi-Stage Deep Learning
Accurate and reliable vessel trajectory prediction is challenging due to the highly non-linear,
intricate and stochastic features of maritime transport networks, but its solutions are vital for …
intricate and stochastic features of maritime transport networks, but its solutions are vital for …
Container Rehandling Probability Prediction Model Based on Seq2Seq Network
G Chen, W Zhao, X Liu, M Wei - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the strong uncertainty in the retrieval order of containers and the complex coupling
relationship between container yard production equipment, it is challenging for yards to …
relationship between container yard production equipment, it is challenging for yards to …
[HTML][HTML] Research on a Real-Time Prediction Method of Hull Girder Loads Based on Different Recurrent Neural Network Models
Q Wang, L Wu, C Li, X Chang, B Zhang - Journal of Marine Science and …, 2024 - mdpi.com
Real-time prediction of hull girder loads is of great significance for the safety of ship
structures. Some scholars have used neural network technology to investigate hull girder …
structures. Some scholars have used neural network technology to investigate hull girder …