Emerging Computational Intelligence Techniques to Address Challenges in Oceanic Computing

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ORIGINAL RESEARCH

Accepted on 24 Apr 2025

Advancing Ship Automatic Navigation Strategy with Prior Knowledge and Hierarchical Penalty in Irregular Obstacles: A Reinforcement Learning Approach to Enhanced Efficiency and Safety

Hao Zhang
Jiawen Li
Cao Liang
Shucan Wang
Ronghui Li

doi 10.3389/fmars.2025.1598380

ORIGINAL RESEARCH

Accepted on 21 Apr 2025

The effect of safety culture on the safety behavior of ship deck officers-Empirical evidence from shipping industry

Yongtao Xi
Zhijie Wang
Shenping Hu
Bing Han
Jingbo Yin

doi 10.3389/fmars.2025.1599455

ORIGINAL RESEARCH

Published on 27 Feb 2025

Collision avoidance method for unmanned ships using a modified APF algorithm

Lianbo Li
Wenhao Wu
Zhengqian Li
Fangjie Wang

doi 10.3389/fmars.2025.1550529

448 views

ORIGINAL RESEARCH

Published on 27 Feb 2025

Research on fishing vessel recognition based on vessel behavior characteristics from AIS data

Xiao Han
Yang Zhou
Jianjun Weng
Lijia Chen
Kang Liu

doi 10.3389/fmars.2025.1547658

479 views
1 citation

ORIGINAL RESEARCH

Published on 03 Feb 2025

A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks

Xiaotong Qu
Chengbo Wang

doi 10.3389/fmars.2025.1547305

434 views

ORIGINAL RESEARCH

Published on 22 Jan 2025

Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework

Jiahua Sun
Jiawen Li
Ronghui Li
Langtao Wu
Liang Cao
Molin Sun

doi 10.3389/fmars.2024.1516586

441 views

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Frontiers in Marine Science

Marine Affairs and Policy

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Articles

Advancing Ship Automatic Navigation Strategy with Prior Knowledge and Hierarchical Penalty in Irregular Obstacles: A Reinforcement Learning Approach to Enhanced Efficiency and Safety

The effect of safety culture on the safety behavior of ship deck officers-Empirical evidence from shipping industry

Collision avoidance method for unmanned ships using a modified APF algorithm

Research on fishing vessel recognition based on vessel behavior characteristics from AIS data

A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks

Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework

Frontiers in Marine Science

Marine Affairs and Policy