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机译:使用数据驱动的贝叶斯网络将人类因素纳入海事事故分析
Wuhan Univ Technol Intelligent Transport Syst Res Ctr ITSC Wuhan Peoples R China|MOST Natl Engn Res Ctr Water Transport Safety WTSC Wuhan Peoples R China|Liverpool John Moores Univ Offshore & Marine Loom Res Inst Liverpool Logist Liverpool Merseyside England;
Liverpool John Moores Univ Offshore & Marine Loom Res Inst Liverpool Logist Liverpool Merseyside England;
Liverpool John Moores Univ Offshore & Marine Loom Res Inst Liverpool Logist Liverpool Merseyside England;
Wuhan Univ Technol Intelligent Transport Syst Res Ctr ITSC Wuhan Peoples R China|MOST Natl Engn Res Ctr Water Transport Safety WTSC Wuhan Peoples R China;
Wuhan Univ Technol Intelligent Transport Syst Res Ctr ITSC Wuhan Peoples R China|MOST Natl Engn Res Ctr Water Transport Safety WTSC Wuhan Peoples R China;
Maritime accident; Maritime safety; Bayesian networks; Data-driven Bayesian; Human reliability analysis; Maritime risk;
机译:基于动态模糊贝叶斯网络的海事事故的人为因素分析
机译:使用贝叶斯网络和Topsis从人类因子视角下预防策略制定的海事事故
机译:海事丝绸之路主要航线的海事事故风险分析:贝叶斯网络方法
机译:海洋事故人为因素组合模式的分析与预测
机译:使用Metomodel驱动的贝叶斯网络分析过程临界事故风险
机译:利用数据驱动基因组探索因子分析和贝叶斯网络学习在小麦中建模多种表型
机译:使用数据驱动的贝叶斯网络将人类因素纳入海事事故分析