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  1. Zhang, Ji [Author] ; Liu, Yu [Other]; Zhou, Ke [Other]; Guoliang, Li [Other]; Xiao, Zhili [Other]; Cheng, Bin [Other]; Xing, Jiashu [Other]; Wang, Yangtao [Other]; Chen, Tianheng [Other]; Liu, Li [Other]; Ran, Minwei [Other]; Li, Zekang [Other]

    An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

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    [Erscheinungsort nicht ermittelbar]: ACM SIGMOD, 2019

    Published in: SIGMOD 2019 ; (Jan. 2019)

  2. Xu, Shanshan [Author]; Slater, Thomas J. A. [Author]; Huang, Hong [Author]; Zhou, Yangtao [Author]; Jiao, Yilai [Author]; Parlett, Christopher M. A. [Author]; Guan, Shaoliang [Author]; Chansai, Sarayute [Author]; Xu, Shaojun [Author]; Wang, Xinrui [Author]; Hardacre, Christopher [Author]; Fan, Xiaolei [Author]

    Developing Silicalite-1 Encapsulated Ni Nanoparticles as Sintering-/Coking-Resistant Catalysts for Dry Reforming of Methane

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    [S.l.]: SSRN, [2022]

  3. Zhang, Chuyan; Wang, Shunli; Yu, Chunmei; Wang, Yangtao; Fernandez, Carlos

    A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries

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    Springer Science and Business Media LLC, 2023

    Published in: Ionics, 29 (2023) 10, Seite 4337-4349