Ship Engine Model Selection by Applying Machine Learning Classification Techniques Using Imputation and Dimensionality Reduction
The maritime is facing a gradual proliferation of data, which is frequently coupled with the presence of subpar information that contains missing and duplicate data, erroneous records, and flawed entries as a result of human intervention or a lack of access to sensitive and important collaborative i...
Main Authors: | Kyriakos Skarlatos, Grigorios Papageorgiou, Panagiotis Biris, Ekaterini Skamnia, Polychronis Economou, Sotirios Bersimis |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/12/1/97 |
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