Machine Learning-Driven Prediction of Offshore Vessel Detention: The Role of Neural Networks in Port State Control

Machine Learning-Driven Prediction of Offshore Vessel Detention: The Role of Neural Networks in Port State Control

This study investigates the application of different neural network (NN) models in assessing the risk of the detention of offshore vessels during port state control (PSC) inspections. The focus is on the use of different NN models (“nnet”, “mlp”, “neuralnet”, “rsnns”) to identify the main risk facto...

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Bibliographic Details
Main Authors: Zlatko Boko, Tatjana Stanivuk, Nenad Radanović, Ivica Skoko
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Journal of Marine Science and Engineering
Subjects:
neural networks
risk assessment
offshore vessel detention
port state control (PSC)
inspection procedures efficiency
artificial intelligence (AI)
Online Access:https://www.mdpi.com/2077-1312/13/3/472
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