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A data-driven risk assessment of Arctic maritime incidents:..:
Kandel, Rajesh
;
Baroud, Hiba
Reliability Engineering & System Safety. 243 (2024) - p. 109779 , 2024
Link:
https://doi.org/10.1016/j.ress.2023.109779
RT Journal T1 <Title>A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ress.2023.109779&Exemplar=1&LAN=DE A1 Kandel, Rajesh A1 Baroud, Hiba PB Elsevier BV YR 2024 SN 0951-8320 JF Reliability Engineering & System Safety VO 243 SP 109779 LK http://dx.doi.org/https://doi.org/10.1016/j.ress.2023.109779 DO https://doi.org/10.1016/j.ress.2023.109779 SF ELIB - SuUB Bremen
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