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Zaili Yang
Zaili Yang
在 ljmu.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA
Z Yang, S Bonsall, J Wang
IEEE Transactions on Reliability 57 (3), 517-528, 2008
4022008
Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River
D Zhang, XP Yan, ZL Yang, A Wall, J Wang
Reliability Engineering & System Safety 118, 93-105, 2013
3212013
Resilience in transportation systems: a systematic review and future directions
C Wan, Z Yang, D Zhang, X Yan, S Fan
Transport reviews 38 (4), 479-498, 2018
3182018
The use of Bayesian network modelling for maintenance planning in a manufacturing industry
B Jones, I Jenkinson, Z Yang, J Wang
Reliability Engineering & System Safety 95 (3), 267-277, 2010
3082010
A Human and Organisational Factors (HOFs) analysis method for marine casualties using HFACS-Maritime Accidents (HFACS-MA)
ST Chen, A Wall, P Davies, Z Yang, J Wang, YH Chou
Safety science 60, 105-114, 2013
2782013
Use of fuzzy evidential reasoning in maritime security assessment
ZL Yang, J Wang, S Bonsall, QG Fang
Risk Analysis: An International Journal 29 (1), 95-120, 2009
2282009
An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
C Wan, X Yan, D Zhang, Z Qu, Z Yang
Transportation Research Part E: Logistics and Transportation Review 125, 222-240, 2019
2182019
A risk assessment approach to improve the resilience of a seaport system using Bayesian networks
A John, Z Yang, R Riahi, J Wang
Ocean Engineering 111, 136-147, 2016
2072016
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network
S Fan, E Blanco-Davis, Z Yang, J Zhang, X Yan
Reliability Engineering & System Safety 203, 107070, 2020
2062020
Selection of techniques for reducing shipping NOx and SOx emissions
ZL Yang, D Zhang, O Caglayan, ID Jenkinson, S Bonsall, J Wang, ...
Transportation Research Part D: Transport and Environment 17 (6), 478-486, 2012
1982012
Risk assessment of the operations of maritime autonomous surface ships
CH Chang, C Kontovas, Q Yu, Z Yang
Reliability Engineering & System Safety 207, 107324, 2021
1792021
Realising advanced risk-based port state control inspection using data-driven Bayesian networks
Z Yang, Z Yang, J Yin
Transportation Research Part A: Policy and Practice 110, 38-56, 2018
1732018
A modified CREAM to human reliability quantification in marine engineering
ZL Yang, S Bonsall, A Wall, J Wang, M Usman
Ocean engineering 58, 293-303, 2013
1712013
An integrated fuzzy risk assessment for seaport operations
A John, D Paraskevadakis, A Bury, Z Yang, R Riahi, J Wang
Safety science 68, 180-194, 2014
1652014
Adaptively constrained dynamic time warping for time series classification and clustering
H Li, J Liu, Z Yang, RW Liu, K Wu, Y Wan
Information Sciences 534, 97-116, 2020
1572020
A novel model for the quantitative evaluation of green port development–A case study of major ports in China
C Wan, D Zhang, X Yan, Z Yang
Transportation Research Part D: Transport and Environment 61, 431-443, 2018
1542018
Spatio-temporal vessel trajectory clustering based on data mapping and density
H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong
IEEE Access 6, 58939-58954, 2018
1492018
Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China
L Wang, Z Yang
Reliability Engineering & System Safety 180, 277-289, 2018
1402018
Bayesian network with quantitative input for maritime risk analysis
KX Li, J Yin, HS Bang, Z Yang, J Wang
Transportmetrica A: Transport Science 10 (2), 89-118, 2014
1362014
Advanced uncertainty modelling for container port risk analysis
H Alyami, Z Yang, R Riahi, S Bonsall, J Wang
Accident Analysis & Prevention 123, 411-421, 2019
1292019
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