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The application of artificial intelligence technology in ship**: A bibliometric review
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industry to advance its development. In this study, 476 articles published in the Science …
industry to advance its development. In this study, 476 articles published in the Science …
[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
[HTML][HTML] A data mining-then-predict method for proactive maritime traffic management by machine learning
Proactive traffic management is increasingly critical in maritime intelligent transportation
systems. Central to this is maritime traffic forecasting, which leverages specific structures …
systems. Central to this is maritime traffic forecasting, which leverages specific structures …
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 …
[HTML][HTML] A hybrid deep learning method for the prediction of ship time headway using automatic identification system data
Abstract Ship Time Headway (STH) is used in maritime navigation to describe the time
interval between the arrivals of two consecutive ships in the same water area. This …
interval between the arrivals of two consecutive ships in the same water area. This …
A novel high-precision and self-adaptive prediction method for ship energy consumption based on the multi-model fusion approach
K Wang, X Liu, X Guo, J Wang, Z Wang, L Huang - Energy, 2024 - Elsevier
The accurate prediction of energy consumption is significant for ship energy efficiency
optimization. However, the existing prediction methods of ship energy consumption based …
optimization. However, the existing prediction methods of ship energy consumption based …
Autonomous threat hunting: A future paradigm for AI-driven threat intelligence
SR Sindiramutty - arxiv preprint arxiv:2401.00286, 2023 - arxiv.org
The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …
Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling
Port operational efficiency and energy consumption are pivotal, but sometimes contradictory
factors influencing its competitiveness. In light of this, the simultaneous optimization of these …
factors influencing its competitiveness. In light of this, the simultaneous optimization of these …