Data-driven Bayesian network approach to maritime accidents involved by dry bulk carriers in Turkish search and rescue areas-Reference-Cited by-同舟云学术

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Data-driven Bayesian network approach to maritime accidents involved by dry bulk carriers in Turkish search and rescue areas

Published:2023-12 Issue: Volume:67 Page:103193
ISSN:2352-4855
Container-title:Regional Studies in Marine Science
language:en
Short-container-title:Regional Studies in Marine Science

Author:

Kayiran Burhan^ORCID,Yazir Devran^ORCID,Aslan Bayram^ORCID

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference112 articles.

1. Reducing the probability of ship grounding: which measure to undertake?;Akhtar;WMU J. Marit. Aff.,2014

2. Human factors implications on ship bridge design;Alan;Sigma J. Eng. Nat. Sci.,2020

3. Analysis of maritime accident data with BBN modelling;Antao,2008

4. Fault-tree models of accident scenarios of RoPax vessels;Antao;Int. J. Autom. Comput.,2006

5. Analysis of maritime accident data with BBN models;Antão,2009

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