A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis
Year of publication: |
2023
|
---|---|
Authors: | Rawson, Andrew ; Brito, Mario |
Published in: |
Transport reviews : a transnational transdisciplinary journal. - London [u.a.] : Taylor & Francis, ISSN 1464-5327, ZDB-ID 1485107-6. - Vol. 43.2023, 1, p. 108-130
|
Subject: | accidents | AIS data | Machine learning | maritime | navigation safety | risk assessment | Künstliche Intelligenz | Artificial intelligence | Risikomanagement | Risk management | Data Mining | Data mining | Schifffahrt | Shipping | Frachtschifffahrt | Cargo shipping |
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