Reference Type | Journal (article/letter/editorial) |
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Title | Markov transition probability-based network from time series for characterizing experimental two-phase flow |
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Journal | Chinese Physics B |
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Authors | Gao, Zhong-Ke | Author |
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Hu, Li-Dan | Author |
Jin, Ning-De | Author |
Year | 2013 (May) | Volume | 22 |
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Publisher | IOP Publishing |
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DOI | doi:10.1088/1674-1056/22/5/050507Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 6003670 | Long-form Identifier | mindat:1:5:6003670:2 |
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GUID | 0 |
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Full Reference | Gao, Zhong-Ke, Hu, Li-Dan, Jin, Ning-De (2013) Markov transition probability-based network from time series for characterizing experimental two-phase flow. Chinese Physics B, 22. 50507pp. doi:10.1088/1674-1056/22/5/050507 |
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Plain Text | Gao, Zhong-Ke, Hu, Li-Dan, Jin, Ning-De (2013) Markov transition probability-based network from time series for characterizing experimental two-phase flow. Chinese Physics B, 22. 50507pp. doi:10.1088/1674-1056/22/5/050507 |
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In | (n.d.) Chinese Physics B Vol. 22. IOP Publishing |
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