[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

H Li, W **ng, H Jiao, Z Yang, Y Li - Transportation Research Part E …, 2024 - Elsevier
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 …

[HTML][HTML] A data mining-then-predict method for proactive maritime traffic management by machine learning

Z Liu, W Chen, C Liu, R Yan, M Zhang - Engineering Applications of …, 2024 - Elsevier
Proactive traffic management is increasingly critical in maritime intelligent transportation
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

C Wang, X Zhang, H Gao, M Bashir, H Li… - Ocean & Coastal …, 2024 - Elsevier
Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human
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

Y Li, H Li, C Zhang, Y Zhao, Z Yang - Transportation Research Part C …, 2024 - Elsevier
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
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

Q Ma, X Du, C Liu, Y Jiang, Z Liu, Z **ao… - … Applications of Artificial …, 2024 - Elsevier
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 …

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 …

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 …

Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling

L Cai, W Li, H Li, B Zhou, L He, W Guo… - … Research Part C …, 2024 - Elsevier
Port operational efficiency and energy consumption are pivotal, but sometimes contradictory
factors influencing its competitiveness. In light of this, the simultaneous optimization of these …