Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques

Every year, maritime accidents cause severe damages not only to humans but also to maritime instruments like vessels. The authors of this work therefore propose a machine learning-based maritime accident prediction system that can be used to prevent maritime accidents from happening by predicting an...

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Bibliographic Details
Main Authors: Gyeongho Kim, Sunghoon Lim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9759297/