A Machine Learning-Based Model for Predicting High Deficiency Risk Ships in Port State Control: A Case Study of the Port of Singapore
This study developed a model to predict ships with high deficiency risk under Port State Control (PSC) through machine learning techniques, particularly the Random Forest algorithm. The study utilized actual ship inspection data from the Port of Singapore, comprehensively considering various operati...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-07-01
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| Collection: | Journal of Marine Science and Engineering |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2077-1312/13/8/1485 |
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