Prediction of the severity of marine accidents using improved machine learning-Reference-Cited by-同舟云学术

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Prediction of the severity of marine accidents using improved machine learning

Published:2024-08 Issue: Volume:188 Page:103647
ISSN:1366-5545
Container-title:Transportation Research Part E: Logistics and Transportation Review
language:en
Short-container-title:Transportation Research Part E: Logistics and Transportation Review

Author:

Feng Yinwei,Wang Xinjian^ORCID,Chen Qilei,Yang Zaili^ORCID,Wang Jin,Li Huanhuan,Xia Guoqing,Liu Zhengjiang

Publisher

Elsevier BV

Reference63 articles.

1. Quantitative assessment of ship collision risk influencing factors from worldwide accident and fleet data;Antão;Reliab. Eng. Syst. Saf.,2023

2. Feature selection using Joint Mutual Information Maximisation;Bennasar;Expert Syst. Appl.,2015

3. Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports;Bye;Reliab. Eng. Syst. Saf.,2018

4. Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network;Cao;Ocean Eng.,2023

5. Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS;Chauvin;Accid. Anal. Prev.,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of risk influential factors of marine pilots during the embarkation and disembarkation;Journal of Marine Engineering & Technology;2024-08-30

2. A novel method for ship carbon emissions prediction under the influence of emergency events;Transportation Research Part C: Emerging Technologies;2024-08

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