2023
DOI: 10.1016/j.engappai.2022.105598
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A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference

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Cited by 16 publications
(3 citation statements)
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“…Recognizing deficiencies in traditional methods during practical application, it builds an ensemble learning model to develop an intelligent evaluation algorithm that reduces subjective and objective human biases, aiming to standardize and establish a risk assessment methodology based on fuzzy failure mode effects and criticality analysis (FMECA) (detailed in Figure 4). Liu and Yang (2022, 2023) target the research needs concerning the correlation between EMI and safety in the complex conditions of high-speed railway signaling, employing supervised machine learning, deep learning networks and text mining techniques to establish a knowledge graph of railway safety incidents (detailed in Figure 5). Ultimately, they propose a method based on linking knowledge entities and their relationships to achieve quantitative risk assessment.…”
Section: Research Methods On the Correlation Between Emi And Safety B...mentioning
confidence: 99%
See 1 more Smart Citation
“…Recognizing deficiencies in traditional methods during practical application, it builds an ensemble learning model to develop an intelligent evaluation algorithm that reduces subjective and objective human biases, aiming to standardize and establish a risk assessment methodology based on fuzzy failure mode effects and criticality analysis (FMECA) (detailed in Figure 4). Liu and Yang (2022, 2023) target the research needs concerning the correlation between EMI and safety in the complex conditions of high-speed railway signaling, employing supervised machine learning, deep learning networks and text mining techniques to establish a knowledge graph of railway safety incidents (detailed in Figure 5). Ultimately, they propose a method based on linking knowledge entities and their relationships to achieve quantitative risk assessment.…”
Section: Research Methods On the Correlation Between Emi And Safety B...mentioning
confidence: 99%
“…Liu and Yang (2022, 2023) target the research needs concerning the correlation between EMI and safety in the complex conditions of high-speed railway signaling, employing supervised machine learning, deep learning networks and text mining techniques to establish a knowledge graph of railway safety incidents (detailed in Figure 5). Ultimately, they propose a method based on linking knowledge entities and their relationships to achieve quantitative risk assessment.…”
Section: Research Methods On the Correlation Between Emi And Safety B...mentioning
confidence: 99%
“…Bidirectional Long Short-Term Memory (BiLSTM) is a variant of RNN that solves the problem of long-term dependency. 39 For knowledge system construction in various fields, such as electrical safety 40 and railway safety, 41 BiLSTM-CRF is widely used for NER tasks because the combined model can fully utilize the advantages of the two models to achieve superior performance on the task.…”
Section: Introductionmentioning
confidence: 99%