Showing 1,101 - 1,120 results of 1,288 for search '"Shenzhen"', query time: 0.06s Refine Results
  1. 1101

    Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine by Muhammad Ali, Dost Muhammad Khan, Muhammad Aamir, Amjad Ali, Zubair Ahmad

    Published 2021-01-01
    “…The datasets utilized in this study are the KSE-100 index of the Pakistan stock exchange, Korea composite stock price index (KOSPI), Nikkei 225 index of the Tokyo stock exchange, and Shenzhen stock exchange (SZSE) composite index for the last ten years that is from 2011 to 2020. …”
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  2. 1102
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    Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

    Published 2017-01-01
    “…A case study is conducted based on a real world bidirectional metro line in Shenzhen, China, using the time-dependent passenger demand extracted from smart card data. …”
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  4. 1104

    Adoption of digital transformation from a firm’s creation to decline: the role of China’s mass entrepreneur and innovation campaign by Umer Sahil Maqsood, Qian Li, R. M. Ammar Zahid

    Published 2025-01-01
    “…Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020. The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages; however, DT adoption in the maturity stage is uncertain. …”
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  5. 1105
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    Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data by Zhiru Tan, Donglan Wei, Zixu Yin

    Published 2020-01-01
    “…The results revealed that (1) the lowest (15%) and highest (24.3%) HVRs occur in Shenzhen and Nanning, respectively. (2) The urban HVR correlates positively with the three production structures (0.3143) but is significantly negatively correlated with population (0.3841), GDP (0.6139), and urban average housing prices (0.5083). (3) The first-tier, new first-tier, and second-tier cities showed the lowest (16.9%), relatively concentrated (20.5%), and highest (21.3%) average vacancy rates, respectively. (4) The vacancy rate is relatively low in the eastern coastal areas, whereas high in the northeast and western inland areas. …”
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  7. 1107

    Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

    Published 2021-01-01
    “…In this paper, the Standard & Poor’s 500 Composite Stock Price (S&P 500) index, the Dow Jones industrial average (DJIA) index, the Shanghai Stock Exchange Composite (SSEC) index, and the Shenzhen Securities Component Index (SZI) were used to demonstrate the validity of our proposed FM-Elman model in time-series prediction. …”
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  14. 1114

    Research on Dynamic Monitoring and Early Warning of the High-Rise Building Machine during the Climbing Stage by Xi Pan, Zibo Zuo, Longlong Zhang, Tingsheng Zhao

    Published 2023-01-01
    “…The method was successfully applied to a 356-m tall high-rise project, the Shenzhen Xinghe Yabao Building. Results demonstrate that the proposed method can monitor and control the safety state of the HBM climbing process more accurately than current methods in real time. …”
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  17. 1117

    Empirical Research on the Relationship between Industry Working Capital Shortfall and Company Cash Holding in the Same Industry by Zhaohua Li, Junyi Jiang, Lijuan Xia, Chien-Chi Chu

    Published 2022-01-01
    “…Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. …”
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    Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

    Published 2021-01-01
    “…Comprehensive numerical experiments are conducted based on the bus routes in Shenzhen to demonstrate the effectiveness of the suggested methodology. …”
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