Zeng, Cheng, Zhao, Guohan, Xie, Jiawei, Huang, Jinsong, Wang, Yankun (2023) An explainable artificial intelligence approach for mud pumping prediction in railway track based on GIS information and in-service train monitoring data. Construction and Building Materials, 401. 132716 doi:10.1016/j.conbuildmat.2023.132716
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | An explainable artificial intelligence approach for mud pumping prediction in railway track based on GIS information and in-service train monitoring data | ||
Journal | Construction and Building Materials | ||
Authors | Zeng, Cheng | Author | |
Zhao, Guohan | Author | ||
Xie, Jiawei | Author | ||
Huang, Jinsong | Author | ||
Wang, Yankun | Author | ||
Year | 2023 (October) | Volume | 401 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.conbuildmat.2023.132716Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 16656185 | Long-form Identifier | mindat:1:5:16656185:2 |
GUID | 0 | ||
Full Reference | Zeng, Cheng, Zhao, Guohan, Xie, Jiawei, Huang, Jinsong, Wang, Yankun (2023) An explainable artificial intelligence approach for mud pumping prediction in railway track based on GIS information and in-service train monitoring data. Construction and Building Materials, 401. 132716 doi:10.1016/j.conbuildmat.2023.132716 | ||
Plain Text | Zeng, Cheng, Zhao, Guohan, Xie, Jiawei, Huang, Jinsong, Wang, Yankun (2023) An explainable artificial intelligence approach for mud pumping prediction in railway track based on GIS information and in-service train monitoring data. Construction and Building Materials, 401. 132716 doi:10.1016/j.conbuildmat.2023.132716 | ||
In | (2023) Construction and Building Materials Vol. 401. Elsevier BV |
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