1–20 von 55 Ergebnissen
|

    X-ray pulsar/Doppler difference integrated navigation for deep space exploration with unstable solar spectrum

    Liu, Jin / Fang, Jian-cheng / Yang, Zhao-hua et al. | Elsevier | 2014

    An extended system-theoretic hazard analysis method for the safety of high-speed railway train control systems

    Liu, Jin Tao / Tang, Tao / Zhu, Jie Bei et al. | SAGE Publications | 2017

    A scientometric review of research on traffic forecasting in transportation

    Freier Zugriff
    Liu, Jin / Wu, Naiqi / Qiao, Yan et al. | Wiley | 2021

    INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

    Hu, Jintian / Liu, Jin / Wang, Yidi et al. | Emerald Group Publishing | 2022

    Fractional differentiation-based observability analysis method for nonlinear X-ray pulsar navigation system

    Liu, Jin / Fang, Jian-cheng / Liu, Gang et al. | SAGE Publications | 2018

    Fast CS-based pulsar period estimation method without tentative epoch folding and its CRLB

    Liu, Jin / Yang, Zhao-hua / Kang, Zhi-wei et al. | Elsevier | 2019

    Fast time-delay measurement for integrated pulsar pulse profiles

    Kang, Zhiwei / He, Xin / Liu, Jin et al. | Emerald Group Publishing | 2017

    Algorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections

    Freier Zugriff
    Liu, Jin / Chen, Lei / Roberts, Clive et al. | IET | 2019

    The transient response of high-speed wheel/rail rolling contact on “roaring rails” corrugation

    Yu, Miao / Wang, Wei-dong / Liu, Jin-zhao et al. | SAGE Publications | 2019

    Study on the Layout of Intercity Rail Transit Network Based on Traffic Location

    Tan, Jian-mei / Liu, Jin-cheng / Xu, Yun-hui | ASCE | 2017

    Minimum acceptable time for turning off idling engines: Evidence from Taiwan

    Jou, Rong-Chang / Wu, Yuan-Chan / Liu, Jin-Long | Elsevier | 2014

      Minimum acceptable time for turning off idling engines: Evidence from Taiwan

      Jou, Rong-Chang | Online Contents | 2014
      Beteiligte: Liu, Jin-Long

    Deep learning-driven end-to-end segmentation of Martian river valleys

    Ding, Jian / Liu, Jin / Ning, Xiaolin et al. | Elsevier | 2023