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Shi, Tao, Lou, Ping (2023) Optimized machine learning approaches for identifying vertical temperature gradient on ballastless track in natural environments. Construction and Building Materials, 367. 130321 doi:10.1016/j.conbuildmat.2023.130321

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Reference TypeJournal (article/letter/editorial)
TitleOptimized machine learning approaches for identifying vertical temperature gradient on ballastless track in natural environments
JournalConstruction and Building Materials
AuthorsShi, TaoAuthor
Lou, PingAuthor
Year2023 (February)Volume367
PublisherElsevier BV
DOIdoi:10.1016/j.conbuildmat.2023.130321Search in ResearchGate
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Mindat Ref. ID15693595Long-form Identifiermindat:1:5:15693595:3
GUID0
Full ReferenceShi, Tao, Lou, Ping (2023) Optimized machine learning approaches for identifying vertical temperature gradient on ballastless track in natural environments. Construction and Building Materials, 367. 130321 doi:10.1016/j.conbuildmat.2023.130321
Plain TextShi, Tao, Lou, Ping (2023) Optimized machine learning approaches for identifying vertical temperature gradient on ballastless track in natural environments. Construction and Building Materials, 367. 130321 doi:10.1016/j.conbuildmat.2023.130321
In(2023) Construction and Building Materials Vol. 367. Elsevier BV

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