MaXLanHQiaoW, et al. On the causation correlation of maritime accidents based on data mining techniques. Proc IMechE Part O: J Risk and Reliability2022; 0(0). DOI: 10.1177/1748006X221131717
2.
StewartMHodkiewiczMLiuW, et al. MWO2KG and Echidna: constructing and exploring knowledge graphs from maintenance data. Proc IMechE Part O: J Risk and Reliability2022; 0(0). DOI:10.1177/1748006X221131128
3.
WuHFrenchTLiuW, et al. Automatic semantic knowledge extraction from electronic forms. Proc IMechE Part O: J Risk and Reliability2022; 0(0). DOI: 10.1177/1748006X221098272
4.
RamosPMSMacedoJBMaiorCBS, et al. Combining BERT with numerical variables to classify injury leave based on accident description. Proc IMechE Part O: J Risk and Reliability2022; 0(0). DOI: 10.1177/1748006X221140194
5.
ValcamonicoDBaraldiPAmigoniF, et al. A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports. Proc IMechE Part O: J Risk and Reliability2022; 0(0). DOI: 10.1177/1748006X221140196
