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  • Open Access

    ARTICLE

    Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent Model

    Liping Yan1,*, Wei-Chiang Hong2

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1069-1102, 2021, DOI:10.32604/cmes.2021.016499 - 11 August 2021

    Abstract The timely and effective investment risk assessment and forecasting are of great significance to ensure the investment safety and sustainable development of wind energy along the Belt and Road. In order to obtain the scientific and real-time forecasting result, this paper constructs a novel hybrid intelligent model based on improved cloud model combined with GRA-TOPSIS and MBA-WLSSVM. Firstly, the factors influencing investment risk of wind energy along the Belt and Road are identified from three dimensions: endogenous risk, exogenous risk and process risk. Through the fuzzy threshold method, the final input index system is selected.… More >

  • Open Access

    ARTICLE

    Investigain: A Productive Asset Management Web Application

    Rabbani Rasha1, Mohammad Monirujjaman Khan1,*, Mehedi Masud2, Mohammed A. AlZain3

    Computer Systems Science and Engineering, Vol.38, No.2, pp. 151-164, 2021, DOI:10.32604/csse.2021.015314 - 23 April 2021

    Abstract The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment Plan. The application utilizes the web’s modern capabilities, such as Asynchronous JavaScript and XML (AJAX), JavaScript, and Hypertext Marker Language (HTML5). The application also uses a powerful relational database management system, such as MySQL, to display asset management information. The application has two portals, one for investors and one for a particular asset manager or asset management company. Each investor has an account in the investor portal. The investor can view his/her profile, current balance, balance history, dividends, the More >

  • Open Access

    ARTICLE

    R&D Investment Enhance the Financial Performance of Company Driven by Big Data Computing and Analysis

    Erna Qi1,∗, Min Deng2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 237-248, 2019, DOI:10.32604/csse.2019.34.237

    Abstract The application of computer technology, especially the emergence of some statistical software and graphic presentation technology, has enabled many areas of research that require a large amount of data analysis. This paper discusses the relationship between R&D investment and corporate financial performance, and further studies the effect of environmental regulations on this relationship through these technologies. The unbalanced panel data of listed companies from 2007 to 2016 were used as a sample, and then corresponding regression modelswere established through logical reasoning. Empirical analysis has found that there is an inverted U-shaped relationship between R&D investment… More >

  • Open Access

    ARTICLE

    Knowledge Composition and Its Influence on New Product Development Performance in the Big Data Environment

    Chuanrong Wu1,*, Veronika Lee1, Mark E. McMurtrey2

    CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 365-378, 2019, DOI:10.32604/cmc.2019.06949

    Abstract Product innovation is regarded as a primary means for enterprises to maintain their competitive advantage. Knowledge transfer is a major way that enterprises access knowledge from the external environment for new product innovation. Knowledge transfer may face the risk of infringement of the intellectual property rights of other enterprises and the termination of licensing agreements by the knowledge source. Enterprises must develop independent innovation knowledge at the same time they profit from knowledge transfers. Therefore, new product development by an enterprise usually consists of three types of new knowledge: big data knowledge transferred from big… More >

  • Open Access

    ARTICLE

    A Computable General Equilibrium Model Based Simulation on Water Conservancy Investment

    JUN WANG

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 553-561, 2018, DOI:10.31209/2018.100000022

    Abstract The water conservancy industry is one of the oldest fundamental industries in human history with high attention all the time, which is a vital factor to national well-being and people’s livelihood. The “Five Water Governance” is one of important strategies as a breakthrough to force transforming and upgrading for ecological water conservancy and sustainable development. A regional dynamic CGE model was constructed to simulate and analyze the short-term and longterm influence of the water conservancy investment to water conservancy industry itself, other national economy sectors and macro economy, so as to provide scientific proof for More >

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