An ensemble method for investigating maritime casualties resulting in pollution occurrence: Data augmentation and feature analysis

•Prediction of maritime casualties resulting in pollution occurrence powered by AI technology.•Employment of VAE based data augmentation to address data imbalance challenge.•Utilization of up-to-date maritime casualty data with various pollution sources.•Analysis of contributing features and their d...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 251; p. 110391
Main Authors:	Li, Duowei, Wong, Yiik Diew, Chen, Tianyi, Wang, Nanxi, Yuen, Kum Fai
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2024
Subjects:	Data augmentation Machine learning Maritime casualty Maritime pollution Pollution prediction Variational autoencoder (VAE) Maritime casualty Variational autoencoder (VAE) Data augmentation Maritime pollution Pollution prediction Machine learning
ISSN:	0951-8320
Online Access:	Get full text
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