An ensemble method for investigating maritime casualties resulting in pollution occurrence: Data augmentation and feature analysis
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ress.2024.110391
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Cordula Boy, 2011. "The Development and Meaning of Vessel Flags in the Cruise Industry," Springer Books, in: Philip Gibson & Alexis Papathanassis & Petra Milde (ed.), Cruise Sector Challenges, chapter 4, pages 57-75, Springer.
- Tian, Jilun & Jiang, Yuchen & Zhang, Jiusi & Luo, Hao & Yin, Shen, 2024. "A novel data augmentation approach to fault diagnosis with class-imbalance problem," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Lan, He & Ma, Xiaoxue & Ma, Laihao & Qiao, Weiliang, 2023. "Pattern investigation of total loss maritime accidents based on association rule mining," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
- Li, Huanhuan & Ren, Xujie & Yang, Zaili, 2023. "Data-driven Bayesian network for risk analysis of global maritime accidents," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Zhou, Kaiwen & Xing, Wenbin & Wang, Jingbo & Li, Huanhuan & Yang, Zaili, 2024. "A data-driven risk model for maritime casualty analysis: A global perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Sun, Quan & Peng, Fei & Yu, Xianghai & Li, Hongsheng, 2023. "Data augmentation strategy for power inverter fault diagnosis based on wasserstein distance and auxiliary classification generative adversarial network," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Chen, Pengxv & Zhang, Anmin & Zhang, Shenwen & Dong, Taoning & Zeng, Xi & Chen, Shuai & Shi, Peiru & Wong, Yiik Diew & Zhou, Qingji, 2025. "Maritime Near-Miss prediction framework and model interpretation analysis method based on Transformer neural network model with multi-task classification variables," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chen, Pengxv & Zhang, Anmin & Zhang, Shenwen & Dong, Taoning & Zeng, Xi & Chen, Shuai & Shi, Peiru & Wong, Yiik Diew & Zhou, Qingji, 2025. "Maritime Near-Miss prediction framework and model interpretation analysis method based on Transformer neural network model with multi-task classification variables," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
- Cao, Yuhao & Iulia, Manole & Majumdar, Arnab & Feng, Yinwei & Xin, Xuri & Wang, Xinjian & Wang, Huanxin & Yang, Zaili, 2025. "Investigation of the risk influential factors of maritime accidents: A novel topology and robustness analytical framework," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
- Yu, Tian & Li, Chaoshun & Huang, Jie & Xiao, Xiangqu & Zhang, Xiaoyuan & Li, Yuhong & Fu, Bitao, 2024. "ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Li, Huanhuan & Çelik, Cihad & Bashir, Musa & Zou, Lu & Yang, Zaili, 2024. "Incorporation of a global perspective into data-driven analysis of maritime collision accident risk," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
- Wang, Yuhong & Li, Pengchang & Hong, Cheng & Yang, Zaili, 2025. "Causation analysis of ship collisions using a TM-FRAM model," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
- Liu, Guanyi & Liu, Shifeng & Li, Xuewei & Li, Xueyan & Gong, Daqing, 2025. "Multiscenario deduction analysis for railway emergencies using knowledge metatheory and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
- Fan, Hanwen & Jia, Haiying & He, Xuzhuo & Lyu, Jing, 2024. "Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Lin, Cuiying & Kong, Yun & Huang, Guoyu & Han, Qinkai & Dong, Mingming & Liu, Hui & Chu, Fulei, 2025. "Generalization classification regularization generative adversarial network for machinery fault diagnostics under data imbalance," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
- Li, Xin & Chen, Chao & Hong, Yi-du & Yang, Fu-qiang, 2023. "Exploring hazardous chemical explosion accidents with association rules and Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
- Meng, Huixing & Zhao, Shijun & Song, Wenjuan & Hu, Mengqian, 2025. "Virtual-reality-generated-data-driven Bayesian networks for risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
- Meng, Huixing & Hu, Mengqian & Kong, Ziyan & Niu, Yiming & Liang, Jiali & Nie, Zhenyu & Xing, Jinduo, 2024. "Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Fu, Shanshan & Tang, Qinya & Zhang, Mingyang & Han, Bing & Wu, Zhongdai & Mao, Wengang, 2025. "A data-driven framework for risk and resilience analysis in maritime transportation systems: A case study of domino effect accidents in arctic waters," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
- Zhang, Xiao & Huang, Weiguo & Wang, Jun & Zhu, Zhongkui & Shen, Changqing & Chen, Kai & Zhong, Xingli & He, Li, 2025. "Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
- Qiao, Weiliang & Huang, Enze & Zhang, Meng & Ma, Xiaoxue & Liu, Dong, 2025. "Risk influencing factors on the consequence of waterborne transportation accidents in China (2013–2023) based on data-driven machine learning," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
- Feng, Yinwei & Wang, Xinjian & Chen, Qilei & Yang, Zaili & Wang, Jin & Li, Huanhuan & Xia, Guoqing & Liu, Zhengjiang, 2024. "Prediction of the severity of marine accidents using improved machine learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
- Bairami-Khankandi, Shahrokh & Bolbot, Victor & BahooToroody, Ahmad & Goerlandt, Floris, 2025. "A systems-theoretic approach using association rule mining and predictive Bayesian trend analysis to identify patterns in maritime accident causes," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
- Gan, Langxiong & Gao, Ziyi & Zhang, Xiyu & Xu, Yi & Liu, Ryan Wen & Xie, Cheng & Shu, Yaqing, 2025. "Graph neural networks enabled accident causation prediction for maritime vessel traffic," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
- Wang, Ruihan & Zhang, Mingyang & Gong, Fuzhong & Wang, Shaohan & Yan, Ran, 2025. "Improving port state control through a transfer learning-enhanced XGBoost model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Wei, Yuan & Xiao, Zhijun & Chen, Xiangyan & Gu, Xiaohui & Schröder, Kai-Uwe, 2025. "A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Wei, Sen & Yang, Hanqing & Bai, Yu & Wang, Yuanqing, 2025. "Road safety assessment of small management units considering smart roadway retrofitting," Transport Policy, Elsevier, vol. 167(C), pages 28-41.
More about this item
Keywords
Maritime casualty; Maritime pollution; Pollution prediction; Data augmentation; Variational autoencoder (VAE); Machine learning;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004630. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.