An Artificial Intelligence Model Considering Data Imbalance for Ship Selection in Port State Control Based on Detention Probabilities
出版年份 2020 全文链接
标题
An Artificial Intelligence Model Considering Data Imbalance for Ship Selection in Port State Control Based on Detention Probabilities
作者
关键词
Port state control inspection, ship detention, machine learning in maritime transportation, artificial intelligence in maritime transportation, imbalanced data
出版物
Journal of Computational Science
Volume 48, Issue -, Pages 101257
出版商
Elsevier BV
发表日期
2020-11-30
DOI
10.1016/j.jocs.2020.101257
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A semi-“smart predict then optimize” (semi-SPO) method for efficient ship inspection
- (2020) Ran Yan et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A multi agent system for the online container stacking in seaport terminals
- (2019) Ines Rekik et al. Journal of Computational Science
- Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation
- (2019) Shuaian Wang et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
- (2019) Xiaobo Qu et al. APPLIED ENERGY
- Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach
- (2019) Mofan Zhou et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A risk-based game model for rational inspections in port state control
- (2018) Zhisen Yang et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Big data analysis of port state control ship detention database
- (2018) Ming-Cheng Tsou Journal of Marine Engineering and Technology
- Robust optimisation of the intermodal freight transport problem: Modeling and solving with an efficient hybrid approach
- (2018) Abderrahman Abbassi et al. Journal of Computational Science
- After 40 years of regional and coordinated ship safety inspections: Destination reached or new point of departure?
- (2017) Armando Graziano et al. OCEAN ENGINEERING
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- Solubilities of CO2, CH4, C2H6, and SO2 in ionic liquids and Selexol from Monte Carlo simulations
- (2016) Mahinder Ramdin et al. Journal of Computational Science
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- Bayesian network modeling of Port State Control inspection findings and ship accident involvement
- (2013) Maria Hänninen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Bayesian network with quantitative input for maritime risk analysis
- (2012) Kevin X. Li et al. Transportmetrica A-Transport Science
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
- (2011) M. Galar et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- Flag choice behaviour in the world merchant fleet
- (2011) Meifeng Luo et al. Transportmetrica A-Transport Science
- Ship inspection strategies: Effects on maritime safety and environmental protection
- (2010) Christiaan Heij et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- CLASSIFICATION OF IMBALANCED DATA: A REVIEW
- (2009) YANMIN SUN et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- From Black-Grey-White Detention-based Lists of Flags to Black-Grey-White Casualty-based Lists of Categories of Vessels?
- (2008) Thomas Degré JOURNAL OF NAVIGATION
- On the effectiveness of port state control inspections
- (2007) Pierre Cariou et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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