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Effect of Database Generation on Damage Consequences’ Assessment Based on Random Forests

Recently, the application of machine learning has been explored to assess the main damage consequences without employing flooding sensors. This method can be the base of a new generation of onboard decision support systems to help the master during the progressive flooding of the ship. In particular...

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Hlavní autoři: Luca Braidotti, Jasna Prpić-Oršić, Marko Valčić
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-11-01
Edice:Journal of Marine Science and Engineering
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On-line přístup:https://www.mdpi.com/2077-1312/9/11/1303
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